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EECS appoints six new faculty members

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Top, L to R: Song Han, Phillip Isola,Tim Kraska. Bottom, L to R: Farnaz Niroui, Arvind Satyanarayan, Julian Shun.

By Anne Stuart | EECS

MIT’s Department of Electrical Engineering and Computer Science has appointed six new faculty members:

Song Han will join EECS as an assistant professor in July 2018. He received a master’s degree and a PhD in electrical engineering from Stanford University. His research focuses on energy-efficient deep learning at the intersection of machine learning and computer architecture. He proposed the Deep Compression algorithm, which can compress neural networks by 17 to 49 times while fully preserving prediction accuracy. He also designed the first hardware accelerator that can perform inference directly on a compressed sparse model, which results in significant speedup and energy saving. His work has been featured by O’Reilly, TechEmergence, and The Next Platform, among others. He led research efforts in model compression and hardware acceleration and won best-paper awards at the International Conference on Learning Representations (ICLR) and the International Symposium on Field-Programmable Gate Arrays (FPGA). Han received a PhD and a master’s degree from Stanford University, both in electrical engineering.

Phillip Isola will join EECS as an assistant professor in July 2018. Currently a fellow at OpenAI, he studies visual intelligence from the perspective of both minds and machines. Isola received both the National Science Foundation (NSF) Graduate Fellowship and the NSF Postdoctoral Fellowship. Isola received a PhD in brain and cognitive studies from MIT and a bachelor’s degree in computer science from Yale University.

Tim Kraska will join EECS as an associate professor in January 2018. Currently an assistant professor in the Department of Computer Science at Brown University, Kraska focuses on building systems for interactive data exploration, machine learning, and transactional systems for modern hardware, especially the next generation of networks. Kraska received a PhD from ETH Zurich, then spent three years as a post-doctoral associate in the AMPLab at UC Berkeley, where he worked on hybrid human-machine database systems and cloud-scale data management systems. Kraska was recently selected as a 2017 Alfred P. Sloan Research Fellow in computer science. He has also received an NSF CAREER Award, an Air Force Young Investigator award, two Very Large Data Bases (VLDB) conference best-demo awards, and a best-paper award from the IEEE International Conference on Data Engineering (ICDE). 

Farnaz Niroui will join EECS as an assistant professor in January 2019. She is currently a Miller Postdoctoral Fellow at the University of California, Berkeley. She received PhD and master’s degrees in electrical engineering from MIT and a bachelor’s degree in nanotechnology engineering from the University of Waterloo in Nanotechnology Engineering. During her graduate studies, Farnaz was a recipient of the Engineering Research Council of Canada Scholarship, and was selected to the Rising Stars for EECS program in 2015 at MIT and in 2016 at Carnegie Mellon University. Her research integrates electrical engineering with materials science and chemistry to develop hybrid nanofabrication techniques to enable precise yet scalable processing of nanoscale architectures capable of uniquely controlling light-matter interactions, electronic transport and exciton dynamics to engineer new paradigms of active nanoscale devices.

Arvind Satyanarayan will join EECS as an assistant professor in July 2018. He focuses on developing new declarative languages for interactive visualization and leveraging them in new systems for visualization design and data analysis. He is currently a postdoctoral research scientist at Google Brain, working on improving the interpretability of deep learning models through visualization. His research has been recognized with a Google PhD Fellowship and best-paper awards at the IEEE InfoVis and the Association for Computing Machinery (ACM) Computer-Human Interaction (CHI) conference. His work has also been deployed on Wikipedia to enable interactive visualizations within articles. Satyanarayan received a PhD in computer science from Stanford University, working with Jeffrey Heer and the University of Washington Interactive Data Lab. He also received a master’s degree from Stanford and a bachelor’s degree from UC San Diego, both in computer science.

Julian Shun joined EECS as an assistant professor in September 2017. His research focuses on both the theory and the practice of parallel algorithms and programming. He is particularly interested in designing algorithms and frameworks for large-scale graph analytics. He is also interested in parallel algorithms for text analytics, concurrent data structures, and methods for deterministic parallelism. Shun has received the ACM Doctoral Dissertation Award, the CMU School of Computer Science Doctoral Dissertation Award, a Facebook Graduate Fellowship, and a best-student-paper award at the Data Compression Conference. Before coming to MIT, he was a post-doctoral Miller Research Fellow at UC Berkeley. Shun received a PhD degree in computer science from CMU and a bachelor’s degree in computer science from UC Berkeley.

 

 

 

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Tuesday, November 7, 2017 - 12:45pm

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Song Han, Phillip Isola, Tim Kraska, Farnaz Niroui, Arvind Satyanarayan will arrive at EECS in 2018 and early 2019; Julian Shun joined the faculty for fall term 2017.

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EECS presents awards for outstanding PhD and SM theses

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L to R: C. Tzamos, E. Tooney, I. Razenshteyn, F. Adib, M. Virza, B. Sherman. Not pictured: S. Huang, M. Ghaffari, F. Long, X. Yu. Photo: Gretchen Ertl

Anne Stuart | EECS

The faculty and leadership of the Department of Electrical Engineering and Computer Science faculty members and leaders recently presented 10 awards for outstanding student work on master’s and PhD theses. Awards and recipients included:

Jin-Au Kong Award for Best PhD Thesis in Electrical Engineering

  • Shengxi Huang, Assistant Professor of Electrical Engineering, Penn State, for “Light-Matter Interactions of Two-Dimensional Materials and the Coupled Nanostructures." Professor Mildred Dresselhaus and Professor Jing Kong, supervisors.

 

George M. Sprowls Awards for Best PhD Thesis in Computer Science

  • Fadel Adib Assistant Professor, MIT Media Lab, for “Wireless Systems that Extend Our Senses.” Professor Dina Katabi, supervisor.
  • Mohsen Ghaffari, Assistant Professor of Computer Science, ETH Zurich, for “Improved Distributed Algorithms for Fundamental Graph Problems." Professor Nancy Lynch, supervisor.
  • Fan Long, CTO, Alt-chain; Assistant Professor of Computer Science, University of Toronto (effective summer 2018), for “Automatic Patch Generation via Learning from Successful Human Patches.” Professor Martin Rinard, supervisor.
  • Ilya Razenshteyn, Simons Foundation Junior Fellow, Columbia University. for "High-Dimensional Similarity Search and Sketching: Algorithms and Hardness." Professor Piotr Indyk, supervisor.
  • Christos Tzamos, Postdoctoral Associate, Microsoft Research New England; Assistant Professor of Computer Science, University of Wisconsin Madison (effective August 2018). for "Mechanism Design: From Optimal Transport Theory to Revenue Maximization." Professor Constantinos Daskalakis, supervisor.
  • Madars Virza, Research Scientist, MIT Media Lab. for “On Deploying Succinct Zero-Knowledge Proofs." Professor Ron Rivest, supervisor.
  • Xiangyao Yu, Postdoctoral Associate, MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), for "Logical Leases: Scalable Hardware & Software Systems Through Time Traveling. Professor Srinivas Devadas, supervisor.

Ernst A. Guillemin Award for Best SM Thesis in Electrical Engineering

  • Emily Toomey, PhD Candidate, Quantum Nanostructures and Nanofabrication Group, MIT Research Laboratory of Electronics (RLE), for “Microwave Response of Nonlinear Oscillations in Resistively Shunted Superconducting Nanowires." Professor Karl K. Berggren, supervisor.

William A. Martin Award for Best SM Thesis in Computer Science

  • Benjamin M. Sherman. PhD Candidate, EECS, for “Making Discrete Decisions Based on Continuous Values." Professor Adam Chlipala and Professor Michael Carbin, supervisors.

 

Asu Ozdaglar, EECS Interim Department Head, and EECS Professor Martin Rinard, the awards coordinator, presented the awards during a luncheon ceremony. The PhD award winners were selected by Professor Dirk Englund (for electrical engineering) and Professor Armando Solar-Lezema (for computer science). The SM awards were selected by Professor Elfar Adelsteinsson (for electrical engineering) and Professor Constantinos Daskalakis (for computer science).

 

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Wednesday, November 8, 2017 - 4:45pm

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Current and former EECS students were honored at a recent luncheon.

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Visiting Professor Anita Hill continues the conversation about the past and future of Title IX

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Visiting Professor Anita F. Hill        Photo: Nathan Fiske

Anne Stuart | EECS

Title IX has been on the books for 45 years – but in Anita Hill’s view, the historic federal law still has plenty to accomplish. 

“I don’t think we’ve neglected Title IX in terms of educational access,” says the noted attorney and author, who is a Martin Luther King Jr. Visiting Professor at MIT this year. “But I do think we have a lot to do in terms of creating an environment where we’re not just saying ‘Women can now enroll in engineering and science,’ but where we’re actively providing ways to overcome the social barriers and implicit biases that keep women from enrolling – or that cause them to drop out.”

While at MIT, Hill is leading the Gender/Race Imperative, an ongoing series of events exploring Title IX, which mandates equal educational opportunities for women. Her co-host is Muriel Médard, the Cecil H. Green Professor of Electrical Engineering and Computer Science and head of the Network Coding and Reliable Communications Group at the Research Laboratory for Electronics (RLE).

The next session in that series, “Fulfilling the Promise of Title IX in STEM: Exploring the Roles University Leaders Play,” will be held on Nov. 15 from 4-5:30 p.m. in E51-115. The event is free and open to the public; no pre-registration is required. 

Thinking about Title IX

How people view Title IX differs based on generation, notes Hill, who is also University Professor of Social Policy, Law, and Women's, Gender, and Sexuality Studies at Brandeis University “People who were in college in the 1970s and ‘80s tend to think of Title IX’s impact on women’s sports,” Hill says, citing law’s sweeping changes in college athletics during that period. “Today, young women who think about Title IX think about sexual assault and sexual harassment on campuses.”

However, she continues: “If you look at Title IX, you realize that the mandate is quite broad, and the spirt of Title IX is even broader than the actual mandate.”  In fact, Title IX outlaws sexual discrimination in all educational programs and activities that receive federal financial assistance. “This includes admissions, resources, facilities, internships and a whole range of things that happen on the campuses in this country,” Hill says. “It guarantees equal experiences to women and girls in all these areas, as well as in sports, and mandates protections against sexual misconduct.”

No question: things have improved since 1972. But they haven’t improved enough, Hill says. Forty-five years after Title IX became law, women in academia still face career disadvantages, often based on unfair presumptions about the choices they’ll make regarding childbirth and child care. “Women starting out in their careers typically don’t have kids, but there’s often an assumption that they’ll be having children, and that can be seen as discounting their value,” Hill says.

Research also suggests that many women who receive PhDs still begin their careers with significantly lower compensation packages than those offered to their male counterparts, Hill says. “People have always said that’s because women don’t know how to bargain. But it’s not just about bargaining,” Hill says. “Many of these graduates are teaching at academic institutions, so they’re covered by Title IX. The argument I would raise is that women should not have to bargain to have the law enforced.” In other words: the onus should be on the institutions to pay fairly.

As another indicator, she cites a 2012 Yale study in which researchers asked more than 125 scientists to review job applications from identically qualified male and female students. The scientists – women as well as men – consistently rated male candidates more highly than their female counterparts. They were also more likely to hire the men, offer them higher salaries, and provide them with mentoring. Bottom line, Hill says: “There are still disadvantages are occurring in science even though we’re giving access in a technical way.”

Disparities remain at the top as well. “We have created opportunities, but the opportunities for leadership have not improved at the same pace. That’s an issue throughout the academy,” she says. “The number of PhDs women have been getting have been increasing for years. But that hasn’t translated to more women college presidents or more women provosts or more women chairs of departments, or more women in other leadership roles. There are many leadership gaps.”

Academic leaders, Title IX, and the 'STEM' fields

Those are among the issues likely to surface during the Nov. 15 panel discussion on academic leaders’ roles in fulfilling Title IX’s promise in science, technology, engineering, and mathematics (the “STEM” fields). Joining Hill for the event are Andrew G. Campbell, dean of the graduate school and professor of medical science at Brown University; Paula Hammond, David H. Koch Professor in Engineering and head of MIT’s Department of Chemical Engineering; and Zorica Pantic, president of the Wentworth Institute of Technology.

The Nov. 15 session is the third in the series. The opening session featured a panel discussion on the future of Title IX, featuring Catherine Lhamon, chair of the U.S. Civil Rights Commission; Deborah Slaner Larkin, former CEO and current Chief Advocacy Officer at the Women’s Sports Foundation; and Fatima Goss Graves, CEO and President of the National Women’s Law Center. In the second session, MIT Emeritus Professor Robert M. Gray described life at MIT in the mid-20th century, a time when only about 1 to 3 percent of MIT’s students were women.

Hill emphasizes that her work and studies at MIT extend well beyond traditional concepts of gender, using the same definition now used in many courts. “I’m using the term ‘gender’ in a very broad sense – not just cis female, not just biological female, but also in terms of sexual identity and gender identity. And I add race into the mix, too,” she says. “My point is that you cannot have full opportunity for all women unless you take into account other identity factors. If Title IX is going to help us create opportunity for women and girls, you can’t have that taken away from someone based on their race.”

As the recent avalanche of unsavory headlines indicates, sexual harassment remains an issue worldwide – and not just on college campuses. That’s an issue that Hill knows all too well. She brought the issue to national prominence in 1991, when she testified before the Senate Judiciary Committee that Supreme Court nominee Clarence Thomas had repeatedly harassed her when he was her supervisor at the Equal Employment Opportunity Commission. In highly publicized and televised hearings, the all-male committee questioned Hill aggressively; meanwhile, Thomas’s supporters attacked her character and credibility. The Senate narrowly confirmed Thomas’s appointment despite Hill’s testimony, and, as Hill put it a 1997 memoir, Speaking Truth to Power, her life changed forever: “I am no longer an anonymous, private individual — my name having become synonymous with sexual harassment.”

Today, Hill emphasizes that she’s not looking to serve as MIT’s diversity officer or Title IX point person. “I’m just coming in as an academic who has been doing policy as well as law and has been trying to get different multi-disciplinary views and input into what works and what doesn’t,” she says. “This is just to get different groups of people talking about the same topic and educating us all. My role is not only to present, but to take what we learn from this and try to put it into a framework that can be used in other locations.”

In any case, there’s no danger that the conversations will end anytime soon, she says: “There’s enough to discuss here that we could talk about this for a year and still not duplicate anything.”

Date Posted: 

Thursday, November 9, 2017 - 1:45pm

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The attorney, author, and civil-rights advocate is moderating "The Gender/Race Imperative," a series of talks about equality in education. The next session, on Title IX and the 'STEM' fields, will be on Nov. 15.

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Vanu Bose, software pioneer and MIT Corporation member, dies at 52

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Vanu Bose                                                                                                                       Photo courtesy of the Bose family

 

Peter Dizikes | MIT News Office

Vanu Bose ’87, SM ’94, PhD ’99, a leading software executive and a member of the MIT Corporation with deep ties to the Institute, died on Nov. 11 at age 52. The cause of his death was a sudden pulmonary embolism.

Bose was the founder and CEO of Vanu, Inc., an innovative firm that provides wireless infrastructure globally and was the first company to receive certification for software-defined radio from the U.S. Federal Communications Commission.

The firm’s technology, emerging from Bose’s graduate research at MIT, increases the role of software in operating the radio-based component of wireless communications networks, including those used for cellphone communications. Among other things, the technology enables multiple networks to operate on the same devices.

Vanu, Inc. has also developed cellular antenna systems that require relatively small amounts of energy and can run on solar power. The reduction in power needed for these networks has allowed the firm to help build out networks in rural areas around the world, from India to Rwanda to Vermont, and to address what Bose called the “great need for communication” in those areas.

Bose also recognized the humanitarian possibilities of the technology, and put the company to work this fall providing urgent help in hurricane-struck Puerto Rico. Vanu, Inc. is providing over 40 cellular base stations in Puerto Rico, some of which have already helped people find their missing families. “That makes it all worthwhile, right there,” Bose told Boston’s WBUR radio in October.

Bose had lifelong ties to MIT, growing up around the Institute in an environment filled with faculty, students, and alumni. His father, the late Amar G. Bose, was a professor in MIT’s Department of Electrical Engineering and Computer Science (EECS) for nearly a half-century. Amar G. Bose also founded the Bose Corporation in 1964 and was one of the most committed benefactors the Institute has seen.

“The ‘Bose’ name has long been synonymous with brilliance, humility, leadership, and integrity,” says MIT President L. Rafael Reif. “Through his work to use cellular technology to connect the unconnected — most recently, in Puerto Rico — Vanu embodied the very best of the MIT community, advancing the Institute's vision for a better world. He was deeply proud of his father, Amar, and of Amar's impact as an engineer, entrepreneur, and executive. And he built an extraordinary legacy of his own that I know made Amar proud.”

Reif added: “On behalf of MIT, I send my deepest condolences to Judy, Kamala, Prema, Maya, Ursula, and the entire Bose family.”

Vanu Bose earned three degrees from MIT: a bachelor of science in both EECS and mathematics in 1988, a master of science in EECS in 1994, and a PhD in EECS in 1999.

Bose’s doctoral thesis, titled “Virtual Radio Architecture,” was supervised by professors John Guttag and David Tennenhouse. Bose’s graduate research came to form the basis of Vanu, Inc., which he founded in 1998, even before Bose had fully completed his PhD work — but after it had become clear that his work had the potential to move the industry forward.  

As a lifelong participant in the open, collaborative intellectual atmosphere around MIT, Bose came to appreciate the way MIT alumni who founded companies would stay connected to the Institute and pass on their own insights and pieces of wisdom to students and researchers in the community. 

“I think it’s a unique part of the MIT experience that there are not only so many great founders around, but that they make themselves accessible,” Bose told the EECS Connector, an alumni publication, in 2015.

As a company founder and alumnus himself, Bose made sure to continue the tradition of working to support new generations of MIT researchers. At the time of his death, he was engaged in fostering and guiding the Bose Fellows Program at MIT, an initiative founded in 2014 that gives grants of up to $500,000 for three years, to let faculty members pursue bold, cutting-edge research programs.

“My father would be very happy with the innovation and freedom of exploration that these grants have made possible, as it was exactly what he was all about,” said Bose in 2016, when announcing the latest group of grant recipients. “The awards acknowledge the spirit of insatiable curiosity that my father embraced.”

Vanu Bose also served on the advisory board of the Bernard M. Gordon-MIT Engineering Leadership Program, an initiative that adds leadership education to the engineering skills of MIT undergraduates.

And from 2013 onward, Bose served as a member of the MIT Corporation, the Institute’s board of trustees. “We are all shocked to lose Vanu Bose, a warm and valuable member of our community,” says Robert B. Millard, chairman of the MIT Corporation. “And our hearts go out to Vanu’s family, which has been such an indelible part of MIT.  We've really lost a beautiful human.”

In late October,  Bose served as the master of ceremonies for a dinner for nearly 300 people marking the 80th birthday of Alan V. Oppenheim, the Ford Professor of Engineering in EECS.

Bose’s MIT activities were only part of a larger set of civic responsibilities he assumed during his career. Bose was a member of the Board of Trustees for the Boston Museum of Science from 2007 through 2013, helping steer it through a period of growth and development. He also served on the United Nations Broadband Commission for Digital Development, from 2012 through 2015.

In his professional career, Bose also served the Bose Corp. as a member of its Trustee Succession Committee.

Bose won a number of awards and honors in his professional career, including IEEE Spectrum magazine’s “Wireless Winner” in 2007, and the GSM Association Technology Award for Most Innovative Infrastructure Product. He was also named a World Economic Forum Technology Pioneer.

Vanu Bose is survived by his wife, Judith, his daughter, Kamala, his mother, Prema, his sister, Maya and his father's wife, Ursula.

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Sunday, November 12, 2017 - 1:15pm

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The three-time EECS alumnus and CEO of Vanu, Inc. improved wireless networks, encouraged MIT research, and pursued humanitarian efforts.

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EECS professor to be recognized for 'pioneering work'

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Muriel Médard
 
EECS Staff
 

The IEEE Communications Society has named EECS faculty member Muriel Médard as the winner of the Edwin Howard Armstrong Achievement Award.

Médard, the Cecil H. Green Professor of Electrical Engineering and Computer Science, is being recognized for her "pioneering work in the fields of network coding, wireless communications, and optical networking," according to the society. The award will be presented at GLOBECOM 2017, an international communications conference, in Singapore in December. Earlier this year, Médard received the IEEE's 2017 Aaron D. Wyner Distinguished Service Award during the organization's International Symposium on Information Theory (ISIT).

Médard, a faculty member since 2000, leads the Network Coding and Reliably Communications Group at the Research Laboratory for Electronics (RLE). She has received multiple degrees from MIT, including bachelor's, master's, and PhD degrees in electrical engineering

 

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Friday, October 13, 2017 - 5:00pm

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Muriel Medard will receive the IEEE Communications Society's Edwin Howard Armstrong Achievement Award.

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Mohammad Alizadeh wins SIGCOMM Rising Star Award

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EECS Staff

Mohammad Alizadeh, the TIBCO Career Development Assistant Professor in EECS, recently received the SIGCOMM Rising Star Award from the Association for Computing Machinery (ACM). 

Presented annually, the award recognizes an individual who has made substantial research contributions to the field of communication networks within 10 years of receiving a PhD. Alizadeh was recognized for his early-career contributions in the area of large-scale data center network architectures and protocols.

Before joiniing the MIT faculty in 2015, Alizadeh held engineering roles with Cisco Systems and Insieme Networks. He received a PhD in electrical engineering from Stanford University in 2013, a master's degree electrical engineering from Stanford in 2009, and a bachelor's degree in the same subject from Sharif University of Technology in Iran in 2006.

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Thursday, October 12, 2017 - 5:45pm

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EECS professor is honored for early-career contributions in large-scale data center network architectures and protocols.

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Associate Professor Vivienne Sze receives Engineering Emmy Award

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Photo: Minhua Zhou

EECS Staff

An EECS faculty member was part of a group that earned an Emmy Award in recognition of its work on a new video-compression standard.

Vivienne Sze, an associate professor of electrical engineering and computer science, was a member of the Joint Collaborative Team on Video Coding (JCT-VC). The team, which developed High Efficiency Video Coding (HEVC), received an Engineering Emmy Award during the Television Academy’s recent 69th Engineering Emmy Awards ceremony in Hollywood.

HEVC “has enabled efficient delivery in ultra-high-definition (UHD) content over multiple distribution channels,” according to the Television Academy. “This new compression coding has been adopted, or selected for adoption, by all UHD television distribution channels, including terrestrial, satellite, cable, fiber, and wireless, as well as all UHD viewing devices, including traditional televisions, tablets, and mobile phones.”

The JCT-VC’s Emmy was one of seven awarded to individuals, companies, or organizations for engineering innovations that significantly improve television transmission, recording, or reception.

“HEVC provides higher compression than previous standards. At the same time, it can operate at the high processing speed necessary for UHD video and at the low power consumption necessary for mobile devices,” says Sze, who also co-edited a 2014 book on the subject. “It was such an honor for the whole team to receive an Emmy from the Television Academy.”

The JCT-VC — which Sze describes as “a group of world-renowned video-coding experts” — consists of engineers from the Video Coding Experts Group (VCEG) of the International Telecommunication Union (ITU) and the Moving Pictures Expert Group (MPEG) of the International Organization for Standardization (ISO), as well as the International Electrotechnical Commission (IEC). She served as the primary coordinator of the team’s core experiment on coefficient scanning and coding, and chaired ad hoc groups on topics related to entropy coding and parallel processing.

Sze received a bachelor’s degree in electrical engineering from the University of Toronto and a master’s degree and PhD from MIT. During her PhD studies, she worked on the design of energy-efficient video-coding hardware under the guidance of Anantha Chandrakasan, now Vannevar Bush Professor of Electrical Engineering and Computer Science and dean of the School of Engineering. She soon realized that the video-coding algorithms limited the amount of energy reduction that could be achieved by the hardware. Accordingly, she started to investigate ways to jointly design the algorithms and hardware to improve the energy efficiency of next-generation video coding systems; she published her results at the 2011 International Solid-State Circuit Conference (ISSCC).

Toward the end of Sze’s PhD work, she participated in VCEG meetings as the group was starting to discuss developing a new video-compression standard. After graduating, she joined the video coding team at Texas Instruments, which had sponsored her PhD research, and actively participated in the development of HEVC. Once the HEVC standard was finalized, Sze joined the EECS faculty. She heads the Energy-Efficient Multimedia Systems Group at MIT’s Research Laboratory of Electronics (RLE). Her research involves applying the algorithm and hardware co-design approach to a broad set of applications including machine learning, computer vision, robotics, image processing and, of course, video coding. Recent results include energy-efficient algorithms and hardware for deep learning and autonomous navigation for miniature drones. She is also co-teaching a new class at MIT that focuses on the co-design of algorithms and hardware for deep learning.

Her work has earned numerous other awards and honors. She received the EECS Jin-Au Kong Outstanding Doctoral Thesis Prize in 2011 for her thesis on “Parallel Algorithms and Architectures for Low-Power Video Decoding." She also received the 2017 Qualcomm Faculty Award, the 2016 Google Faculty Research Award, the 2016 Air Force Office of Scientific Research (AFOSR) Young Investigator Research Program Award, the 2016 3M Non-Tenured Faculty Award, the 2014 DARPA Young Faculty Award, and the 2007 Design Automation Conference (DAC)/ISSCC Student Design Contest Award. She was was also a co-recipient of the 2016 MICRO Top Picks Award and the 2008 Asian-SSCC (A-SSCC) Outstanding Design Award.

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Tuesday, November 21, 2017 - 1:00pm

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The EECS faculty member and her teammates were honored for developing a new video-compression standard.

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Celebrating Millie

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MIT President L. Rafael Reif welcomes the crowd at a symposium honoring the life and work of the late MIT Institute Professor Mildred “Millie” Dresselhaus.      Photo: Maia Weinstock

 

Maia Weinstock | MIT News

They came from around the globe to commemorate a beloved mentor, collaborator, teacher, and world-renowned pioneer in solid-state physics and nanoscale engineering.

On Sunday, Nov. 26, the MIT community welcomed family, colleagues, friends, former students, and other associates of the late MIT Institute Professor Emerita Mildred “Millie” Dresselhaus to a daylong symposium celebrating her life.

Dresselhaus, an MIT faculty member for more than half a century, passed away at age 86 on Feb. 20, after a career in which she led in the development of numerous fields within materials science and engineering, particularly those related to the electronic structure of carbon. For her many accomplishments, Dresselhaus earned copious national and international accolades — including the National Medal of Science, the Kavli Prize, the Presidential Medal of Freedom, and worldwide recognition as the “Queen of Carbon.”

But Dresselhaus’ support of others, especially of women and underrepresented minorities; her service to local and national science and engineering societies; and her devotion to students and family were evidenced in equal measure at Sunday’s event, which drew a capacity crowd to Room 10-250 and to sessions in the lobbies of buildings 10 and 13.

“The first thing Millie taught me was the power of noticing,” MIT President L. Rafael Reif, who began at the Institute as a young professor in Dresselhaus’ home department of Electrical Engineering and Computer Science, said in his opening remarks. “Noticing patterns that others don’t see is essential to becoming and being a great scientist, and Millie surely had that gift.”

“But she used her amazing mind and heart to notice people, too,” Reif added. Dresselhaus, who as a student received guidance and encouragement from eminent physicists Rosalyn Yalow and Enrico Fermi, understood that “being noticed by the right person at the right time” could change the course of one’s career. And so, Reif explained, “Millie made part of her life’s work to notice others.”

Guests from various periods of Dresselhaus’ life filled the day with stories of her impact as a researcher and as a member of numerous communities, both at MIT and beyond.

In one session, colleagues from Mexico, Japan, Belgium, and elsewhere described Dresselhaus’ seminal contributions to the development of carbon science — from her work with graphite in the 1970s and 80s, to fullerines in the 1990s, to nanotubes in the 2000s, and back to graphite and two-dimensional graphene in the 2010s. Another session concentrated on her pioneering research developing nanomaterials in thermoelectrics, an area focused on turning temperature differences in materials into electricity.

One presentation slide depicted Dresselhaus’ extensive “family tree” of academic influence, which, based on publication citations, included some 900 collaborations over a half-century of research. A printed timeline, several dozen feet long, of life events and key scientific activities compiled by Dresselhaus’ granddaughter Shoshi Cooper gave attendees a visceral sense of the Institute Professor’s myriad travels, connections, and influences around the world.

But collaborators were often much more than just research partners; in many cases, they became lifelong friends — or family members. This began in the late 1950s with Dresselhaus’ partner in science and in life, husband and MIT staff researcher Gene Dresselhaus, who co-authored many papers and, as President Reif noted, four children. But it continued with her mentoring of dozens of graduate students and her connections to individuals across many realms of science research and education.

“What Millie and Gene gave me was deep encouragement,” said MIT colleague Jing Kong, a professor in the Department of Electrical Engineering and Computer Science. “I’m so thankful for what Millie has taught me and shown me. … I hope we can carry on [her] legacy.”

Dresselhaus’ service to society — whether as director of the U.S. Department of Energy’s Office of Science or as president of the American Physical Society (APS) and the American Association for the Advancement of Science, was also on display, as was her devotion to improving conditions for women and underrepresented minorities in science and engineering, both at MIT and elsewhere. Laurie McNeil, a former postdoc who is now a professor of physics at the University of North Carolina at Chapel Hill, described Dresselhaus’ leadership in developing for the APS a nationwide Climate for Women Site Visit Program, which represented a critical step in helping physics departments improve support for female students and faculty.

Closer to home, Institute Professor Sheila Widnall of the Department of Aeronautics and Astronautics, who spoke to attendees via prerecorded video, described some of the many positive changes Dresselhaus helped to bring about for women at MIT, who comprised just 4 percent of the student body when Dresselhaus first joined the Lincoln Laboratory in 1960. Later that decade, after becoming only the third woman (after Emily Wick and Widnall) to join MIT’s faculty in science or engineering, Dresselhaus felt a strong responsibility to advocate on behalf of female students and colleagues, and to be available for them in various supporting roles. “We all owe Millie a debt of gratitude,” Widnall said.

Looking forward, MIT Professor and Associate Dean for Innovation Vladimir Bulovic spoke of the many ways MIT hopes to extend Dresselhaus’ legacy in years to come. He noted that her personal papers would soon be donated to MIT’s Institute Archives for future generations to explore, and that her spirit would continue on in a series of Rising Stars workshops that bring young women in science and engineering to MIT for career development and networking. Bulovic was especially enthusiastic about Dresselhaus’ mark on MIT.nano, the state-of-the-art nanoscience and nanotechnology facility rising in the middle of campus. In a nod to her assertion that “My background is so improbable — that I’d be here from where I started,” Bulovic announced that a key courtyard between MIT.nano and the Infinite Corridor will be named “the Improbability Walk” in her honor.

The final session of the evening concluded with inspiration and song. As a lifelong violinist, Dresselhaus cherished orchestral and chamber music, and would play regularly in groups and in impromptu performances with family and friends. In tribute, loved ones including daughter Marianne and granddaughters Elizabeth and Clara capped the day’s presentations with pieces by Bach, Schumann, and Brahms.

MIT Corporation Life Member Shirley Ann Jackson ’68, PhD ’73, the president of Rensselaer Polytechnic Institute and a former student of Dresselhaus (who long held a joint appointment in the Department of Physics), also provided a warm tribute to her mentor via prerecorded video. “She was a woman of extraordinary focus, and always found opportunity within adversity and constraint,” Jackson said. “Her graceful adaptability and optimism offered me an important model as I encountered and stepped through my own unexpected windows of opportunity in industry, academia, and government. … Her unwillingness to allow struggling students to quit, and her efforts to break down institutional barriers for young women in science — including me — were a call to action for all of us who followed. … I am forever grateful to Millie Dresselhaus.”

To read this story and additional content, visit the MIT News website.

Gifts in memory of Mildred Dresselhaus may be made to MIT.nano, the nanoscience/nanotechnology center scheduled to open in 2018. For details, visit: annualfund.mit.edu/dresselhaus.

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Wednesday, November 29, 2017 - 11:00am

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Making the voice of others heard through education and journalism

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Drew Bent, an EECS-physics double major, regularly volunteers at a Cambridge community center.Photo: Ian MacLellan

 

Before senior Drew Bent began his undergraduate studies at MIT, he considered his interests in education to be “side projects.” He had worked at the educational platform Khan Academy and at Sony Ericsson while he was a high school student, employing what he had considered his main skill set since he was a child: programming.

“Basically, programming is all I did,” Bent says, “I used to be very much a technocrat.”

At MIT, Bent opted to double major in physics and electrical engineering and computer science. But he also dipped his toes in writing, as a journalist for MIT’s undergraduate newspaper, The Tech.

By the end of his first year, Bent had a revelation: “The stuff that I was doing that I was most passionate about — the work that could have the most positive impact — was actually the side projects,” Bent recalls. “It’s the MIT education that can actually help me and enable me to do really powerful things in these areas.”

Semesters later, Bent can further describe his vision.

“I’m very interested in leveling the playing field with education. I see education as a way to give everyone their own unique voice,” Bent says. “Journalism is making sure that voice is actually heard in a democratic process. Successful democracy requires an educated populace whose voices are all heard.”

Newshound

Since his freshman year, Bent has written over 35 articles for The Tech, covering campus news and research developments. Between his shorter news stories, Bent undertakes investigative journalism projects, some of which involve months of research.

“There are many aspects of journalism that are interesting, but the one that is most interesting to me is holding powerful actors accountable,” Bent says.

Bent’s reporting has spanned a wide variety of topics. His stories have included an investigation of an advertisement in The Tech that solicited an egg donor, a piece about the effects of a reorganization in MIT’s Information Services and Technology department, a profile of a student who was an Israeli military commander, and award-winning coverage of the trial of Dzhokhar Tsarnaev for his role in the Boston Marathon bombing. Other topics have included the closing of a fraternity, the discovery of gravitational waves, and other developments in student and residential life on campus.

“The [stories] that interest me are the ones that have someone whose voice wouldn’t have been heard otherwise and can actually lead to some change in policy,” Bent says, “Maybe [my writing] could start a conversation that wouldn’t have been there otherwise.”

Education across America

In the summer of 2015, Bent traveled with a group of MIT and Harvard University students to 11 towns across America by bicycle, through Spokes America, a student-run educational initiative founded in 2013 by Turner Bohlen ’14.

As part of the initiative, Bent helped plan and organize learning festivals in urban and rural towns, which featured workshops on computer science, mechanical engineering, and electrical engineering. Bent liked the out-of-the-classroom approach of the program, which is geared towards middle and high school students.

“[Spokes America] really lets the students take the initiative, giving them the environment to build rockets, computer programs, and robots,” Bent says, “Science and engineering don’t have to be learned from a textbook.”

During his travels from festival to festival, Bent saw how interested the attendees  were in learning about engineering. Families who lived hours out of town would travel to festivals to partake in the Spokes America workshops.

“Everyone wants to bring everyone. Even parents want to go,” Bent says.

By using computer programming languages such as Scratch, which was developed by the MIT Media Lab’s Lifelong Kindergarten Group, participants were able to interact with engineering in a manner they hadn’t before.

Sometimes, Bent recalls, even children who hadn’t yet learned to read wanted to participate: “We weren’t going to say no to that.”

Tutoring and beyond

During the academic year, Bent regularly volunteers at the East End House, a Cambridge community center that holds educational programs for all ages.

Bent has worked at the East End House with 2nd- through 4th-graders since 2014. Students are bused after school to the community center, where they then work with Bent.

“First, they grab snacks, then you work with them for an hour on math and reading,” Bent says, “Then, you encourage them to go beyond.”

Sometimes, beyond isn’t much farther than the local playground.

“It goes beyond tutoring. You’re really becoming their buddy,” Bent says. What’s important to him is “the stuff that happens in the hours outside of the classroom.”

His volunteer work at the East End House is “usually the most rewarding part of the week, but also the most challenging part.”

“Students can tell if you’re not giving your best effort,” Bent says, “So you need to set a good example.”

Building learning environments

In November 2017, Bent had a conversation with one of his tutoring students about college.

“Somehow she thought that intelligence is what got people to universities like MIT,” Bent says, “It’s largely the hard work that gets you there. She was genuinely surprised that it was hard work, and not just some predetermined ability.”

Bent says that students “need to realize they’re capable of anything.”

Beyond MIT, he hopes to foster environments in which this kind of learning and realization is common. Bent envisions being what his journalism professor, Ethan Zuckerman, calls a “public interest technologist” and wants to use his technical and investigative background to reform education. 

“The parts of education that I’m interested in are building learning environments —the more informal parts of education,” Bent says, “Whether it’s outside of school or bringing it into school.”

Bent believes his MIT education will be crucial in his pursuit.

“We often think of MIT as a place that develops technologies, but it also cultivates mindsets that are useful elsewhere in society,” Bent says. “The MIT education enables us to give back in more ways than we can imagine.”

Bent has also served as a member of the MIT OpenCourseWare Faculty Advisory Committee and has collaborated with Institute committees on developing an educational pilot program for students to do semester-long internships while taking online MIT courses. Along with senior Gabriel Ginorio, he has worked closely with Sanjay Sarma, MIT’s vice president for Open Learning. He has interned with the World Bank and spent this past summer working in the White House Office of Science and Technology Policy helping to draft national technology policy. He was also a high school physics teacher with the MISTI Global Teaching Labs in Italy.

To read this story and related content, visit the MIT News website.

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Wednesday, November 29, 2017 - 11:45am

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Chasing complexity

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Ryan Williams has taken a key step toward solving a big problem in theoretical computer science. Photo: Bryce Vickmark

 

Larry Hardesty | MIT News 

In his junior year of high school, Ryan Williams transferred from the public school near his hometown of Somerville, Alabama — “essentially a courthouse and a couple gas stations,” as he describes it — to the Alabama School of Math and Science in Mobile.

Although he had been writing computer programs since age 7 — often without the benefit of a computer to run them on — Williams had never taken a computer science class. Now that he was finally enrolled in one, he found it boring, and he was not shy about saying so in class.

Eventually, his frustrated teacher pulled a heavy white book off a shelf, dumped it dramatically on Williams’s desk, and told him to look up the problem described in the final chapter. “If you can solve that,” he said, “then you can complain.”

The book was “Introduction to Algorithms,” co-written by MIT computer scientists Charles Leiserson and Ron Rivest and one of their students, and the problem at the back was the question of P vs. NP, which is frequently described as the most important outstanding problem in theoretical computer science.

Twenty-two years later, having joined the MIT electrical engineering and computer science faculty with tenure this year, Williams is now a colleague of both Leiserson and Rivest, in the Theory of Computing Group at MIT’s Computer Science and Artificial Intelligence Laboratory. And while he hasn’t solved the problem of P vs. NP — nobody has — he’s made one of the most important recent contributions toward its solution.

P vs. NP is a problem in the field of computational complexity. P is a set of relatively easy problems, and NP is a set of problems some of which appear to be diabolically hard. If P = NP, then the apparently hard problems are actually easy. Few people think that’s the case, but no one’s been able to prove it isn’t.

As a postdoc at IBM’s Almaden Research Center, Williams proved a result about a larger set of problems, known as NEXP, showing that they can’t be solved efficiently by a class of computational circuits called ACC. That may sound obscure, but when he published his result, in 2010, the complexity theorist Scott Aaronson — then at MIT, now at the University of Texas — wrote on his blog, “The result is one of the most spectacular of the decade.”

“We all knew the goal was to walk on the moon (i.e., prove P≠NP and related separations),” Aaronson later added, “and what Ryan has done is to build a model rocket that gets a couple hundred feet into the air, whereas all the previous rockets had suffered from long-identified technical limitations that had kept them from getting up more than 50 feet. … It’s entirely plausible that those improvements really are a nontrivial step on the way to the moon.”

Basic principles

Williams is the son of a mother who taught grade school and a father who ran his own construction firm and whose family indoctrinated Williams into one side of a deep Alabamian social divide — the side that roots for Auburn in the annual Auburn-Alabama football game.

Most of his father’s construction contracts were to dig swimming pools, and when Williams was in high school and college, he was frequently his father’s only assistant. His father ran the backhoe, and Williams followed behind the bucket, digging out rocks and roots, smoothing the ground, and measuring the grade with a laser level.

His father was such a backhoe virtuoso that, Williams says, “If I was going too slow, he would take the edge of the bucket and start flattening the ground and raking it himself. He would say, ‘Point the level here and see if it’s grade.’”

In first grade, having scored highly on a standardized test the year before, Williams began taking a class one day a week at a school for gifted children on the opposite side of the county. He was entranced by the school’s Apple II computer and learned to program in Basic. The next year, the class had a different teacher and the computer was gone, but Williams kept writing Basic programs nonetheless.

For three straight years, from 8th through 10th grade, he and a partner won a statewide programming competition, writing in the oft-derided Basic language. They competed as an undersized team, even though the state Technology Fair sponsored an individual competition as well. “It just didn’t seem fun to spend two or three hours straight programming by myself,” Williams says.

After his junior-year introduction to the P vs. NP problem, Williams was determined to study theoretical computer science in college. He ended up at Cornell University, studying with Juris Hartmanis, a pioneer in complexity theory and a winner of the Turing Award, the Nobel Prize of computer science. Williams also introduced his Yankee classmates to the ardor of Alabamian football fandom, commandeering communal televisions for the annual Auburn-Alabama games.

“It was pretty clear to the other people who wanted to watch television that, no, I needed it more, and that maybe I was willing to fistfight,” Williams says.

After graduating, he did a one-year master’s degree at Cornell and contributed a single-authored paper to a major conference in theoretical computer science. Then he headed to Carnegie Mellon University and graduate study with another Turing-Award-winning complexity theorist, Manuel Blum.

Leaps and bounds

Blum told Williams that he was interested in two topics: k-anonymity — a measure of data privacy — and consciousness. K-anonymity seemed slightly more tractable, so Williams dove into it. Within weeks, he had proven that calculating optimal k-anonymity — the minimum number of redactions necessary to protect the privacy of someone’s personal data — was an NP-complete problem, meaning that it was (unless someone proves P equal to NP) prohibitively time consuming to compute.

Such proofs depend on the calculation of lower bounds — the minimum number of computational steps necessary to solve particular problems. As a potential thesis project, Williams began considering lower bounds on NP-complete problems when solved by computers with extremely limited memory. The hope was that establishing lower bounds in such artificially constrained cases would point the way toward establishing them in the more general case.

“I had studied these things for years, and at some point it occurred to me that these things have a pattern,” Williams says. His dissertation ended up being an automated technique for proving lower bounds in the context of memory-constrained computing. “I wrote a computer program whose output — when certified by a human — is proving that there are no efficient programs for this other problem,” he says.

After graduating, Williams did one-year postdocs at both CMU and the Institute for Advanced Study, in Princeton, New Jersey. Then came his research fellowship at IBM and his “spectacular” result.

That result came from an attempt to bridge a divide within theoretical computer science, between researchers who work on computational complexity and those who design algorithms. Computational-complexity research is seen as more abstract, because it seeks to make general claims about every possible algorithm that might be brought to bear on a particular problem: None can do better than some lower bound. Algorithm design seems more concrete, since it aims at simply beating the running time of the best algorithm developed so far.

But in fact, Williams argues, the problems are more symmetric than they first appear, because establishing an algorithm’s minimum running time requires generalizing about every possible instance of a particular problem that it will ever have to face. Williams wondered whether he could exploit this symmetry, adapting techniques from algorithm design to establish lower bounds.

“Reasoning about lower bounds just seems really hard, but yet, when it comes to designing algorithms to solve the problem, it’s somehow just more natural for people to think about,” Williams says. “People are just naturally problem solvers. Maybe if you phrased the problem the right way, it would become an algorithmic problem.”

Computational jiu-jitsu

Any NP-complete problem can be represented as a logic circuit — a combination of the elementary computing elements that underlie all real-world computing. Solving the problem is equivalent to finding a set of inputs to the circuit that will yield a given output.

Suppose that, for a particular class of circuits, a clever programmer can devise a method for finding inputs that’s slightly more efficient than solving a generic NP-complete problem. Then, Williams showed, it’s possible to construct a mathematical function that those circuits cannot implement efficiently.

It’s a bit of computational jiu-jitsu: By finding a better algorithm, the computer scientist proves that a circuit isn’t powerful enough to perform another computational task. And that establishes a lower bound on that circuit’s performance.

First, Williams proved the theoretical connection between algorithms and lower bounds, which was dramatic enough, but then he proved that it applied to a very particular class of circuits.

“This is essentially the circuit class where progress on P not equal to NP stopped in the mid-’80s,” Williams explains. “We were gradually building up some steam with slightly better, slightly better lower bounds, but it completely stopped in its tracks because of this one pesky little class that nobody could get a handle on.”

Since Williams’s breakthrough paper, both he and other complexity theorists have used his technique for translating between algorithms and lower bounds to prove results about other classes of problems. But, he explains, that translation cuts both ways: Sometimes, a failed attempt at establishing a lower bound can be translated into a more efficient algorithm for solving some other problem. Williams estimates that he has published as many papers in the field of algorithm design as he has in the field of computational complexity.

“I’m lucky,” he says. “I can even publish my failures.”

To read this article with affiliated content, visit the MIT News website.

 

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Thursday, November 23, 2017 - 12:45pm

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Building the hardware for the next generation of artificial intelligence

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Vivienne Sze and Joel Emer teach Hardware Architecture for Deep Learning, a class in MIT’s Department of Electrical Engineering and Computer Science that focuses on building specialized hardware for AI.<br />
 
Vivienne Sze and Joel Emer teach an EECS class that focuses on building specialized hardware for AI.
Photo: Lillie Paquette | School of Engineering
 
 
Meg Murphy | School of Engineering
 

On a recent Monday morning, Vivienne Sze, an associate professor of electrical engineering and computer science at MIT, spoke with enthusiasm about network architecture design. Her students nodded slowly, as if on the verge of comprehension. When the material clicked, the nods grew in speed and confidence. “Everything crystal clear?” she asked with a brief pause and a return nod before diving back in.

This new course, 6.S082/6.888 (Hardware Architecture for Deep Learning), is modest in size — capped at 25 for now — compared to the bursting lecture halls characteristic of other MIT classes focused on machine learning and artificial intelligence. But this course is a little different. With a long list of prerequisites and a heavy base of assumed knowledge, students are jumping into deep water quickly. They blaze through algorithmic design in a few weeks, cover the terrain of computer hardware design in a similar period, then get down to the real work: how to think about making these two fields work together.

The goal of the class is to teach students the interplay between two traditionally separate disciplines, Sze says. “How can you write algorithms that map well onto hardware so they can run faster? And how can you design hardware to better support the algorithm?” she asks rhetorically. “It’s one thing to design algorithms, but to deploy them in the real world you have to consider speed and energy consumption.”

“We are beginning to see tremendous student interest in the hardware side of deep learning,” says Joel Emer, who co-teaches the course with Sze. A professor of the practice in EECS as well as a senior distinguished research scientist at the chip manufacturer NVidia, Emer has partnered with Sze before. Together they wrote a journal article that provides a comprehensive tutorial and survey coverage of recent advances toward enabling efficient processing of deep neural networks. It is used as the main reference for the course.

In 2016, their group unveiled a new, energy-efficient computer chip optimized for neural networks, which could enable powerful artificial-intelligence systems to run locally on mobile devices. The groundbreaking chip, called “Eyeriss,” could also help usher in the internet of things.

“I’ve been in this field for more than four decades. I’ve never seen an area with so much excitement and promise in all that time,” Emer says. “The opportunity to have an original impact through building important and specialized architecture is larger than anything I’ve seen before.”

Hardware at the heart of deep learning

Deep learning is a new name for an approach to artificial intelligence called neural networks, a means of doing machine learning in which a computer learns to perform some tasks by analyzing training examples. Today, popular applications of deep learning are everywhere, Emer says. The technique drives image recognition, self-driving cars, medical image analysis, surveillance and transportation systems, and language translation, for instance.

The value of the hardware at the heart of deep learning is often overlooked, says Emer. Practical and efficient neural networks, which computer scientists have researched off and on for 60 years, were infeasible without hardware to support deep learning algorithms. “Many AI accomplishments were made possible because of advances in hardware,” he says. “Hardware is the foundation of everything you can do in software.”

Deep learning techniques are evolving very rapidly, Emer says. “There is a direct need for this sort of hardware. Some of the students coming out of the class might be able to contribute to that hardware revolution.”

Meanwhile, traditional software companies like Google and Microsoft are taking notice, and investing in more custom hardware to speed up the processing for deep learning, according to Sze.

“People are recognizing the importance of having efficient hardware to support deep learning,” she says. “And specialized hardware to drive the research forward. One of the greatest limitations of progress in deep learning is the amount of computation available.”

New hardware architectures

Real-world deployment is key for Skanda Koppula, a graduate student in electrical engineering and computer science. He is a member of the MIT Formula SAE Race Car Electronics Team.

“We plan to apply some of these ideas in building the perception systems for a driverless Formula student race car,” he says. “And in the longer term, I see myself working toward a doctorate in related fields.”

Valerie Sarge, also a graduate student in electrical engineering and computer science, is taking the course in preparation for a career that involves creating hardware for machine learning applications.

“Deep learning is a quickly growing field, and better hardware architectures have the potential to make a big impact on researchers' ability to effectively train networks,” she says. “Through this class, I'm gaining some of the skills I need to contribute to designing these architectures.”

Read this story with related content on the MIT News website.

Read about Vivienne Sze's participation on a team that won a 2017 Engineering Emmy Award.

 

 

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Friday, December 1, 2017 - 3:45pm

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SuperUROP Proposal Pitch on Thursday, Dec. 7

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Participants in the Advanced Undergraduate Research Opportunities Program (better known as SuperUROP) spend a full academic year immersed in real-world research.

The lively Proposal Pitch session, to be held on Thursday, Dec. 7, will feature brief presentations by nearly 140 current SuperUROP scholars from throughout the School of Engineering and the School of Humanities, Arts, and Social Sciences. Stop by to hear these young researchers talk about their projects.

Students will give brief presentations about their work from 3:15-6:15 p.m. in the Grier Rooms at 50 Vassar St. (34-401). Drop in anytime during the session to get a look at their work.

For more information about SuperUROP, visit: https://superurop.mit.edu/

 

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Monday, December 4, 2017 - 2:15pm

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MIT community gathers to honor former Institute President Paul Gray

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Paul Gray, 1932-2017                                                                                                                      Photo: Bachrach Studio

Peter Dizikes | MIT News Office

Several hundred members of the MIT community attended a spirited and affecting celebration on Thursday of the late Paul Gray ’54, SM ’55, ScD ’60 — paying tribute to the former MIT president who helped transform the Institute’s social fabric, student experience, and scientific ambitions.

Family members, friends, former colleagues, and former students all spoke, depicting Gray as an affable, intellectually curious, down-to-earth leader determined to open up MIT to the world, modernize its curriculum, and add the resources necessary to keep MIT on the frontiers of academic research.

“More than anyone I can think of, Paul shaped the MIT we know today,” MIT President L. Rafael Reif said in his opening remarks at the event, held inside Kresge Auditorium. “When you think of the programs and progress he helped create, it’s impossible to imagine MIT without them.”

Among other things, Gray spearheaded MIT efforts to draw minority students to campus and to increase the number of female students. Gray helped implement MIT’s Undergraduate Research Opportunities Program (UROP), which has become a staple of academic life at MIT, and advocated for the addition of biology to the MIT core curriculum. As president in the 1980s, Gray also worked to open the Whitehead Institute, a cornerstone of MIT’s now-expansive research efforts in the life sciences. 

"A true leader" 

If Gray was ambitious for MIT, he remained personally unpretentious, a leader who was skilled at listening and dealt with people in a genial and straightforward manner.

“Paul was profoundly honest,” Reif said. “He lived by the highest ethical and moral standards.” Moreover, Reif added, “There was a moral unity to his whole life, a unity of purpose and values. He knew who he was, down to the core. That gave him deep personal confidence in every situation. And it gave everyone else perfect confidence that he would always do the right thing. And he always did.”

Gray’s key actions included constructing programs, starting in the late 1960s, that identified and recruited minority students to matriculate at MIT.  In so doing, Gray worked extensively with Shirley Ann Jackson ’68 PhD ’73, the first African-American to receive a doctorate from MIT, who has been president of Rensselaer Polytechnic Institute since 1999 and is a life member of the MIT Corporation.

“I’ve always felt an enormous sense of kinship with Paul because we shared important moments of leadership together,” Jackson said in her remarks.

As Jackson recounted, she was one of just two African-American women in her graduating class, something she described as a “lonely” experience. Upon deciding to stay at MIT for graduate school, she became involved in the formation of MIT’s Black Students’ Union, whose requests for more resources led MIT to form its Task Force on Educational Opportunity. Gray helped direct the Institute’s response. 

“He quickly demonstrated that he was a true leader, exactly the right, mature person for a turbulent time,” Jackson said. “He took what could have been an adversarial situation, and sometimes it was, and instantly identified our shared objectives. … He immediately grasped that MIT could, and should, be better.”

Jackson, invited to join the Task Force on Educational Opportunity, soon found herself frequently working alongside Gray and observing his empathetic nature. “He was ready to listen, to learn, and to act,” Jackson, adding that the task force “spurred a breathtaking change at MIT,” by developing an array of programs that ultimately opened up the Institute to more minorities and women, among both students and faculty.

Gray’s efforts, Jackson added, were part of a career-long collaboration with his wife, Priscilla King Gray, as they both worked to enhance the Institute’s sense of community. 

“Importantly, Paul and Priscilla, as partners, worked to make MIT a more welcoming place, in myriad ways, for everyone,” Jackson said. She added that Gray was “a sounding board, mentor, supporter, and friend, throughout my career.”

In retirement, over the last decade, Gray remained a mentor and sounding board to many at MIT. Susan Hockfield, MIT’s 16th president, who served from 2005 to 2012, recalled Gray as a valued advisor who served as her “first and most essential guide to MIT” when she arrived at the Institute.

As Hockfield noted, Gray’s support for the expansion of bioscience research and teaching at MIT “set conditions in place for the biological, biomedical, biotech explosion at MIT and in Kendall Square,” which has helped keep both locales at the forefront of innovation.

“Thank you, Paul, for bringing us together in support of MIT’s core values: the pursuit of truth, meritocracy, personal integrity, and service to others,” Hockfield said.

“This special place”

Gray was born in Newark, New Jersey, on Feb. 7, 1932, and, growing up, became an eager student whose father encouraged him to tinker with electronic gadgets. Gray earned all three of his MIT degrees in electrical engineering and joined the MIT faculty in 1960. He served as associate dean for student affairs from 1965 to 1967; associate provost from 1969 to 1970; and dean of the School of Engineering from 1970 to 1971.

In the next phase of his career, Gray became the MIT chancellor from 1971 to 1980, served as MIT’s 14th president from 1980 to 1990, and then became chairman of the MIT Corporation (the Institute’s board of trustees) from 1991 to 1997.

When Gray arrived at MIT, women constituted 2 percent of students, and minorities were very few in number; by 1990, when Gray’s tenure as president ended, 30 percent of undergraduates were women and 14 percent were underrepresented minorities.

In a move characteristic of Gray’s attachment to daily life at the Institute, he returned to the faculty in 1997, teaching undergraduate classes and advising students until recent years. Gray died in September after a battle with Alzheimer’s disease.

As multiple speakers at the event noted, Gray liked calling MIT “this special place,” an idea he impressed upon his colleagues, family, and friends. “MIT truly is this special place,” said Gray’s son, Andrew Gray, in remarks at the celebration. “It’s its people that make it so.”

Andrew Gray recounted fond memories of how, as a child of Paul Gray, MIT faculty members became his “heroes,” and he got to know figures such as physicist and dean Margaret MacVicar, and Jerome Wiesner, MIT’s 13th president, who served from 1971 to 1980.

As Andrew Gray observed, it was telling that for his official portrait Gray chose to pose with Priscilla Gray, regarding her an equal partner in his activities. As president, the Grays would annually host every member of the senior class for dinner, in groups of 60 to 70, at the president’s on-campus residence — fittingly named “Gray House” in 2002.

Andrew Gray also recounted a story about the first date between his parents. On a chilly evening, Paul Gray had gloves, while Priscilla did not. Paul, thinking nimbly, suggested they each wear one glove, and hold hands with their uncovered hands. “Not bad for a nerd from New Jersey,” Andrew Gray quipped, drawing a warm laugh from the audience.

Andrew Gray said he once asked his father why he had been so resistant to the kinds of prejudice he had apparently encountered in his formative years; in response, Paul Gray said, “Well, I guess it just never made any sense to me.” Paul Gray also once commented to his son that making MIT a residential college for women as well as men, another initiative he backed, was a “turning point for this school.”

One of Gray’s daughters, the reverend Virginia W.G. Army, also spoke, saying that Gray “lived his life full tilt” in an effort to make the world better, and shared stories about Gray as a family man and proud father.

In one instance, she recalled, Gray, an accomplished woodworker, found a bookcase that was being discarded at MIT, and made it a home project in which the two of them turned it into a complete, detailed doll’s house for her.  “Of course, we even put electricity in as well,” she said, noting that it ran on a battery that her father the engineer connected to it.

“He made himself available and present in all of our lives,” Army said. “My father was my hero.”

Teacher and mentor

Thursday’s celebration also included a rendition of “America the Beautiful” and “Fanfare for the Common Man,” performed by the Kenneth Amis Ensemble; a presentation of the flags by the MIT Police and the MIT ROTC Joint Honor Guard; a video tribute featuring footage of Gray’s tenure as president; the performance of a Brahms sonata, by Institute Professor Marcus Thompson, on viola, and senior lecturer in music David Deveau, on piano; and the school song, “In Praise of MIT,” performed by the MIT Chorallaries.

Robert B. Millard ’73, chair of the MIT Corporation, delivered remarks formally closing the event.

A number of Gray’s former students and colleagues spoke as well, testifying to the life-long influence they felt from his mentorship and friendship.

“Paul became my role model,” said James W. Taylor ’65 SM ’67, who became a close family friend of the Grays. “Many people never find that. … Paul became the standard by which I lived much of the rest of my life.”

Wilson studied MIT’s curriculum structure with Gray in the 1960s, and noted that Gray’s “clarity of thought was incredible.”

“He was a warm, dedicated, and effective teacher,” said Gerald Wilson ’61 SM ’63 ScD ’65, an MIT professor emeritus of electrical engineering and computer science, who became dean of the School of Engineering from 1982 to 1992. Wilson, who met Gray when Wilson was an undergraduate and Gray a teaching assistant, noted that Gray insisted on being called “Paul,” and “engendered and nourished a sense of community that everyone felt.”

Victor Fung ’66 SM ’66, another former student of Gray, amused the audience with a story about Gray reluctantly giving him a good grade for a graduate project, despite Fung’s habit of tardiness for his meetings between the two of them. Gray wrote a letter to Fung at the time, praising him, and also encouraging him to do better.

“Paul really impressed upon me that having the right idea is not enough,” Fung said, but that “you’ve got to execute properly” to get things done in the world. That letter, Fung added, is now a family keepsake.

Lawrence Bacow ’72, an economist who served as president of Tufts University from 2001 to 2011, also recounted the advice and encouragement he received from Gray, and called him “refreshingly unpretentious” despite his stature and accomplishments.

“I don’t think any president of any institution ever represented the values of the place better than Paul Gray,” Bacow said.

Gray’s lack of pretension was a running theme in the celebration’s remarks. Reif said he experienced it as a faculty member in the 1990s, administering the electrical engineering courses for undergraduates.

“Paul would always come to my office at the start of the semester,” Reif recollected. “This MIT legend, president, and chairman, would ask me what I wanted him to teach. I would always say, ‘Paul, what would you like to teach?’ And he would always choose 6.002, Circuits and Electronics. That’s the first academic subject in electrical engineering. Paul used to say it was like learning to play scales. … It’s the foundation of everything.”

Gray’s approach and achievements, Reif added, can serve as a personal example for others, but they also demonstrate the ways whole communities and institutions can evolve and improve, to meet humane aspirations.

“Would MIT even be MIT if we did not welcome talented people of every background?” asked Reif in his remarks. “In the life of a community, cultural change and moral growth are possible.”

For more on this story, see the article, photos, and videos on the MIT News website.

 

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Tuesday, December 5, 2017 - 5:00pm

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Memorial tribute celebrates the life of the former Institute president, academic leader, and EECS faculty member.

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Asu Ozdaglar named head of Department of Electrical Engineering and Computer Science

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Prof. Asu Ozdaglar                                                                                                Photo: Lillie Paquette | School of Engineering

School of Engineering

Asu Ozdaglar, the Joseph F. and Nancy P. Keithley Professor of Electrical Engineering and Computer Science, has been named the new department head of EECS, effective Jan. 1, 2018. She has been the interim head of the department since July 1, 2017, when former head Anantha Chandraksan was named dean of the School of Engineering.

“Professor Ozdaglar is an inspiring researcher and has emerged as a true leader in the areas of optimization theory and algorithms, game theory, and networks,” Chandrakasan says. “Her vision and dedication as an educator have been equally impressive. She is both a tireless advocate and coach for her students, and she has been a strong advocate for educational innovation in EECS.”

A former associate department head in EECS, director of the Laboratory for Information Decision Systems, and associate director of the Institute for Data, Systems, and Society, Ozdaglar has made fundamental contributions to optimization theory, economic and social networked systems, and game theory. Her research in optimization ranges from convex analysis and duality to distributed methods for large-scale systems and optimization algorithms for machine learning. Her work on game theory focuses on adaptive dynamics in networks and large games, and issues of new equilibrium concepts and computation of equilibria. Her research has integrated analysis of social and economic interactions within the study of networks and spans many dimensions of these areas, including the analysis of learning and communication, diffusion and information propagation, influence in social networks, and cascades and systemic risk in economic and financial systems.

Ozdaglar’s educational contributions to MIT are equally substantial. She has developed a range of graduate and undergraduate courses, including a graduate-level game theory subject and an undergraduate course on networks that is jointly listed with the Department of Economics. She played a leading role (with Costis Daskalakis and colleagues in course 14) in launching a new undergraduate major in 6-14: Computer Science, Economics and Data Science. She also served as technical program co-chair of EECS’s Rising Stars program in 2015. 

Ozdaglar is a past recipient of a Microsoft fellowship, the MIT Graduate Student Council Teaching award, the NSF Career award, the 2008 Donald P. Eckman award of the American Automatic Control Council, and the Class of 1943 Career Development Chair. She was the inaugural Steven and Renee Innovation Fellow, and won the 2014 Spira teaching award. She served on the Board of Governors of the Control System Society in 2010 and was an associate editor for IEEE Transactions on Automatic Control. She is the inaugural area co-editor for a new area for the journal Operations Research, entitled “Games, Information and Networks,” and she is the co-author of Convex Analysis and Optimization (Athena Scientific, 2003).

Ozdaglar received her bachelor’s degree in electrical engineering from the Middle East Technical University, in Ankara, Turkey, in 1996, and SM and PhD degrees in electrical engineering and computer science from MIT in 1998 and 2003.

EECS is the largest academic unit at MIT. It currently enrolls 1,274 undergraduate majors and 1,943 graduate students. In 2016-17, the department awarded 143 undergraduate, 260 master’s, and 94 doctoral degrees. EECS’s 130 faculty members conduct their research in four affiliated labs: the Computer Science and Artificial Intelligence Laboratory (CSAIL), the Laboratory for Information and Decision Systems (LIDS), the Microsystems Technology Laboratories (MTL), and the Research Laboratory of Electronics (RLE).

For related coverage, visit the MIT News website.

 

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Friday, December 8, 2017 - 1:00pm

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She succeeds Anantha Chandrakasan, who was named dean of engineering, as leader of MIT’s largest academic department

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Four from MIT named Association for Computing Machinery Fellows

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Clockwise from top left: Goldwasser, Lozano-Pérez, Sipser, Micali.

Honorees included three EECS professors affiliated with the Computer Science and Artificial Intelligence Laboratory (CSAIL) -- Shafi Goldwasser, Tomás Lozano-Pérez, and Silvio Micali -- along with School of Science Dean Michael Sipser.

The professors were among fewer than 1 percent of ACM members to receive the distinction. Fellows are named for contributions spanning such disciplines as graphics, vision, software design, algorithms, and theory.

“Shafi, Tomás, Silvio, and Michael are very esteemed colleagues and friends, and I’m so happy to see that their contributions have recognized with ACM’s most prestigious member grade,” said CSAIL Director Daniela Rus, who herself was named an ACM Fellow in 2014. “All of us at MIT are very proud of them for receiving this distinguished honor.”

Goldwasser was selected for “transformative work that laid the complexity-theoretic foundations for the science of cryptography.” This work has helped spur entire subfields of computer science, including zero-knowledge proofs, cryptographic theory, and probabilistically checkable proofs. In 2012 she received ACM’s Turing Award, often referred to as “the Nobel Prize of computing.”

Lozano-Pérez was recognized for “contributions to robotics, and motion planning, geometric algorithms, and their applications.” His current work focuses on integrating task, motion, and decision planning for robotic manipulation. He was a recipient of the 2011 IEEE Robotics Pioneer Award, and is also a 2014 MacVicar Fellow and a fellow of the Association for the Advancement of Artificial Intelligence (AAAI) and of the IEEE.

Like Goldwasser, Micali was also honored for his work in cryptography and complexity theory, including his pioneering of new methods for the efficient verification of mathematical proofs. His work has had a major impact on how computer scientists understand concepts like randomness and privacy. Current interests include zero-knowledge proofs, secure protocols, and pseudorandom generation. He has also received the Turing Award, the Goedel prize in theoretical computer science, and the RSA prize in cryptography.

Sipser, the Donner Professor of Mathematics, was recognized for “contributions to computational complexity, particularly randomized computation and circuit complexity.” With collaborators at Carnegie Mellon University, Sipser introduced the method of probabilistic restriction for proving super-polynomial lower bounds on circuit complexity, and this result was later improved by others to be an exponential lower bound. He is a fellow of the American Academy of Arts and Sciences and the American Mathematical Society, and a 2016 MacVicar Fellow. He is also the author of the widely used textbook, "Introduction to the Theory of Computation."

ACM will formally recognize the fellows at its annual awards banquet on Saturday, June 23, 2018, in San Francisco.

For related information, visit the MIT News website. For complete information on this year's fellows and other awards programs, visit the ACM website.

 

 

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Monday, December 11, 2017 - 4:15pm

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EECS Professors Goldwasser, Lozano-Perez, and Micali, along with School of Science Dean Sipser, honored for "providing key knowledge" to computing.

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EECS announces six new faculty members

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Top row, L to R: Han, Isola, Kraska. Bottom row, L to R: Niroui, Satyanarayan, Shun.

 

School of Engineering

The School of Engineering will welcome 16 new faculty members to its departments, institutes, labs, and centers for the 2017-2018 and 2018-2019 academic years. Among them are six faculty members in EECS:

Song Han will join EECS as an assistant professor in July 2018. He received his master’s degree and PhD in electrical engineering from Stanford. His research focuses on energy-efficient deep learning at the intersection of machine learning and computer architecture. Han proposed the deep compression algorithm, which can compress neural networks by 17 to 49 times while fully preserving prediction accuracy. He also designed the first hardware accelerator that can perform inference directly on a compressed sparse model, which results in significant speed increases and energy saving. His work has been featured by O’Reilly, TechEmergence, and The Next Platform, among others. Han has won best-paper awards at the International Conference on Learning Representations and the International Symposium on Field-Programmable Gate Arrays.

Phillip Isola will join EECS as an assistant professor in July 2018. He received a bachelor’s degree in computer science from Yale University and a PhD in brain and cognitive sciences from MIT. Currently a fellow at OpenAI, Isola studies visual intelligence from the perspective of both minds and machines. He received a National Science Foundation (NSF) graduate fellowship as well as an NSF postdoctoral fellowship.

Tim Kraska will join EECS as an associate professor in January 2018. Currently an assistant professor of computer science at Brown University, Kraska received a PhD from ETH Zurich, then spent three years as a postdoc in the AMPLab at the University of California at Berkeley, where he worked on hybrid human-machine database systems and cloud-scale data management systems. He focuses on building systems for interactive data exploration, machine learning, and transactional systems for modern hardware, especially the next generation of networks. Kraska was recently selected as a 2017 Alfred P. Sloan Research Fellow in computer science. He has also received an NSF CAREER Award, an Air Force young investigator award, two Very Large Data Bases conference best-demo awards, and a best-paper award from the IEEE International Conference on Data Engineering.

Farnaz Niroui will join EECS as an assistant professor in January 2019. She received her PhD and master’s degrees in electrical engineering from MIT and a bachelor’s degree in nanotechnology engineering from the University of Waterloo. She is currently a Miller Postdoctoral Fellow at the University of California at Berkeley. Her research integrates electrical engineering with materials science and chemistry to develop hybrid nanofabrication techniques to enable precise yet scalable processing of nanoscale architectures capable of uniquely controlling light-matter interactions, electronic transport, and exciton dynamics to engineer new paradigms of active nanoscale devices. During her graduate studies, Niroui was a recipient of the Engineering Research Council of Canada scholarship, and she was selected for the Rising Stars program in EECS at MIT in 2015 and in 2016 at Carnegie Mellon University.

Arvind Satyanarayan will join EECS as an assistant professor in July 2018. He received a bachelor’s degree from the University of California at San Diego and a master’s degree from Stanford — both in computer science — and a PhD in computer science from Stanford, working with the University of Washington Interactive Data Lab. Satyanarayan is currently a postdoc at Google Brain, working on improving the interpretability of deep-learning models through visualization. He focuses on developing new declarative languages for interactive visualization and leveraging them in new systems for visualization design and data analysis. His work has also been deployed on Wikipedia to enable interactive visualizations within articles. Satyanarayan’s research has been recognized with a Google PhD fellowship and best-paper awards at the IEEE InfoVis and the Association for Computing Machinery (ACM) Computer-Human Interaction conference.

Julian Shun joined EECS as an assistant professor in September 2017. He received a bachelor’s degree in computer science from the University of California at Berkeley, and a PhD in computer science from Carnegie Mellon University (CMU). Before coming to MIT, he was a postdoctoral Miller Research Fellow at UC Berkeley. Shun’s research focuses on the theory and practice of parallel algorithms and programming. He is particularly interested in designing algorithms and frameworks for large-scale graph analytics. He is also interested in parallel algorithms for text analytics, concurrent data structures, and methods for deterministic parallelism. Shun received the ACM doctoral dissertation award, the CMU School of Computer Science doctoral dissertation award, a Facebook graduate fellowship, and a best-student-paper award at the Data Compression Conference.

"I am pleased to welcome our exceptional new faculty. Their presence will enhance the breadth and depth of education and research within the School of Engineering, and strengthen MIT’s commitment to making a better world,” says Anantha Chandrakasan, dean of the School of Engineering. “I look forward to their contributions in the years to come.

For more on the appointments, including a list of new faculty in other School of Engineering Departments, visit the MIT News website.

 

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Monday, December 11, 2017 - 5:00pm

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The new professors are among 16 joining seven School of Engineering departments.

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Device makes power conversion more efficient

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MIT postdoc Yuhao Zhang works on power-conversion research at MTL. Photo: Yuhao Zhang 

Larry Hardesty | MIT News

Power electronics, which do things like modify voltages or convert between direct and alternating current, are everywhere. They’re in the power bricks we use to charge our portable devices; they’re in the battery packs of electric cars; and they’re in the power grid itself, where they mediate between high-voltage transmission lines and the lower voltages of household electrical sockets.

Power conversion is intrinsically inefficient: A power converter will never output quite as much power as it takes in. But recently, power converters made from gallium nitride have begun to reach the market, boasting higher efficiencies and smaller sizes than conventional, silicon-based power converters.

Commercial gallium nitride power devices can’t handle voltages above about 600 volts, however, which limits their use to household electronics.

At the Institute of Electrical and Electronics Engineers’ International Electron Devices Meeting this week, researchers from MIT, semiconductor company IQE, Columbia University, IBM, and the Singapore-MIT Alliance for Research and Technology, presented a new design that, in tests, enabled gallium nitride power devices to handle voltages of 1,200 volts.

That’s already enough capacity for use in electric vehicles, but the researchers emphasize that their device is a first prototype manufactured in an academic lab. They believe that further work can boost its capacity to the 3,300-to-5,000-volt range, to bring the efficiencies of gallium nitride to the power electronics in the electrical grid itself.

That’s because the new device uses a fundamentally different design from existing gallium nitride power electronics.

“All the devices that are commercially available are what are called lateral devices,” says Tomás Palacios, who is an MIT professor of electrical engineering and computer science, a member of the Microsystems Technology Laboratories (MTL), and senior author on the new paper. “So the entire device is fabricated on the top surface of the gallium nitride wafer, which is good for low-power applications like the laptop charger. But for medium- and high-power applications, vertical devices are much better. These are devices where the current, instead of flowing through the surface of the semiconductor, flows through the wafer, across the semiconductor. Vertical devices are much better in terms of how much voltage they can manage and how much current they control.”

For one thing, Palacios explains, current flows into one surface of a vertical device and out the other. That means that there’s simply more space in which to attach input and output wires, which enables higher current loads.

For another, Palacios says, “when you have lateral devices, all the current flows through a very narrow slab of material close to the surface. We are talking about a slab of material that could be just 50 nanometers in thickness. So all the current goes through there, and all the heat is being generated in that very narrow region, so it gets really, really, really hot. In a vertical device, the current flows through the entire wafer, so the heat dissipation is much more uniform.”

Narrowing the field

Although their advantages are well-known, vertical devices have been difficult to fabricate in gallium nitride. Power electronics depend on transistors, devices in which a charge applied to a “gate” switches a semiconductor material — such as silicon or gallium nitride — between a conductive and a nonconductive state.

For that switching to be efficient, the current flowing through the semiconductor needs to be confined to a relatively small area, where the gate’s electric field can exert an influence on it. In the past, researchers had attempted to build vertical transistors by embedding physical barriers in the gallium nitride to direct current into a channel beneath the gate.

But the barriers are built from a temperamental material that’s costly and difficult to produce, and integrating it with the surrounding gallium nitride in a way that doesn’t disrupt the transistor’s electronic properties has also proven challenging.

Palacios and his collaborators adopt a simple but effective alternative. The team includes first authors Yuhao Zhang, a postdoc in Palacios’s lab, and Min Sun, who received his MIT PhD in EECS last spring; Daniel Piedra and Yuxuan Lin, MIT graduate students in EECS; Jie Hu, a postdoc in Palacios’s group; Zhihong Liu of the Singapore-MIT Alliance for Research and Technology; Xiang Gao of IQE; and Columbia’s Ken Shepard.

Rather than using an internal barrier to route current into a narrow region of a larger device, they simply use a narrower device. Their vertical gallium nitride transistors have bladelike protrusions on top, known as “fins.” On both sides of each fin are electrical contacts that together act as a gate. Current enters the transistor through another contact, on top of the fin, and exits through the bottom of the device. The narrowness of the fin ensures that the gate electrode will be able to switch the transistor on and off.

“Yuhao and Min’s brilliant idea, I think, was to say, ‘Instead of confining the current by having multiple materials in the same wafer, let’s confine it geometrically by removing the material from those regions where we don’t want the current to flow,’” Palacios says. “Instead of doing the complicated zigzag path for the current in conventional vertical transistors, let’s change the geometry of the transistor completely.”

For more information and related coverage, visit the MIT News website.

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Monday, December 11, 2017 - 6:00pm

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EECS researchers say new design could dramatically cut energy waste in electric vehicles, data centers, and the power grid.

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Envisioning the future of signal processing

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Prof. Alan V. Oppenheim                                             Photo: Gretchen Ertl

Allison Takemura | EECS

We live in a sea of signals. “They’re natural, manmade, medical; speech, music; synthetic; physical signals, and communication,” says Meir Feder, professor of electrical engineering and Information Theory Chair at Tel Aviv University.

For example, when we snap a photo with our phones, record a funny cat video, or tell Siri to write a text, technology is taking signals from the environment — for instance, analog audio and visual information — and making it digital: into ones and zeros that machines can read. The information comes out the other end, where it appears reanimated, or processed, into something we can use and understand.

There’s a whole field devoted to studying how to listen and watch for such signals, and then transform and translate them. Most of us have just never heard of it — which might be a testament to its impact. “I think that one indicator of the power of signal processing is that it doesn't get credit anymore,” says Anantha Chandrakasan, Vannevar Bush Professor of Electrical Engineering and Computer Science (EECS), and Dean of the MIT School of Engineering. “It's everywhere.”

On Oct. 22 and 23, a group of researchers marked the 80th birthday of one of the pioneers in the field of digital signal processing (DSP): Alan V. Oppenheim, MIT’s Ford Professor of Engineering. With Ron Schafer, professor emeritus at Georgia Tech, Oppenheim coauthored the textbook Discrete-Time Signal Processing. “Some edition of this book is — or should be — on every DSP engineer's shelf,” says Tom Baran, research affiliate in MIT’s Research Laboratory of Electronics’ DSP Group and the lead organizer of a dinner in Oppenheim’s honor and the Future of Signal Processing Symposium.

During the day-long symposium, researchers defined the next wave of problems that this field will tackle. These included applications in security, forensics, and health. The researchers also described some unexpected areas of science that will help propel the field: quantum physics, 19th-century algebra, and a signal’s customary nemesis: noise.

These are selected images; to see all the day's photos, view the full album. Photos: Gretchen Ertl. 

A signal in the darkness

Signal processing can make us safer, Chandrakasan says. His research group is developing processing techniques to enhance the security of devices that comprise the so-called Internet of Things (IoT). “Everything that can be connected to the Internet wirelessly can be hacked,” says Chandrakasan, a member of the symposium’s organizing committee.

Data in the right hands, of course, can be a security boon. Symposium speaker Admiral John Richardson, 31st Chief of Naval Operations for the U.S. Navy, explains that physical ship-building can’t keep up with the Navy’s actual demand. Instead of only more ships, there’s a need to make better ships, he says. Using advanced signal processing, a fully networked fleet would be able to listen in the water and respond with greater coordination, giving them a tactical advantage.

“Signal processing has a terrific and important role in making our Navy more capable,” Richardson says.

New approaches in signal processing could also support combating terrorism and locating criminals. Another symposium speaker, Min Wu, professor of electrical and computer engineering at the University of Maryland, illustrates the point with a video recording of Osama bin Laden. “Many people fighting terrorism want to know when the video was shot, where the video was shot,” she says.

To help answer that question, Wu and her team have developed signal processing techniques to use tiny variations in the electric grid that result from the miniscule changes in its electric frequency that happen all the time. For a recording inside a room, for example, that might translate to an ever-so-slight flickering of the lights. Outside, it could be the subtle changes in ambient sounds of power equipment connected to the grid.

The variations allow researchers to localize the signal to whichever electric grid has the same fingerprint. Right now, it’s possible to differentiate recordings done in places with completely separate electric grids – for instance, distinguishing between recordings made in the western United States from those done in India or Lebanon. Even that level could help narrow down the locations of terrorist cells, Wu says. The Department of Homeland Security has also approached her to help determine where victims of child pornography were filmed.

Richard Baraniuk, professor of electrical and computer engineering at Rice University and founder and director of OpenStax, spoke at the symposium about how signal processing can help crack open the black box of why machine learning is so effective.

Another speaker, Martin Vetterli — president of Ecole Polytechnic Federale de Lausanne — dazzled the audience by talking about his group's recent effort in high-quality digital acquisition and rendering of rare artifacts. He showed how to revive the Lippmann photography method by making the process digital in order to create astonishingly vivid images. He also presented a process of virtual relighting applied to one of the oldest well-preserved New Testament manuscripts, called Papyrus 66. Despite being projected on a screen, the papyrus looked as real as if it were right in front of the audience.

Body Signals

Signal processing can help manage internal threats as well as those from the outside. Chandrakasan and his group have developed a low-power cap of electrodes to detect changes in brain-wave patterns that herald an oncoming seizure. By alerting patients eight to 10 seconds in advance, the technology allows them to move into a safer position or environment.

Another application is in the treatment of cancer. Symposium speaker Ron Weiss — an MIT professor in the departments of Biological Engineering and EECS and Director of MIT’s Synthetic Biology Center — and his group have developed proof-of-concept biological circuits. These process biochemical signals into a desirable outcome: targeting and destroying cancer cells.

How this currently works is that an engineered virus is injected into the blood stream of a mouse. From there, it makes its way into a cell. Then it does a computation: does it sense the right combination of four to six biomarkers that indicate the cell is cancerous? If the answer is “yes,” the virus flips into “destroy” mode. This kind of biological circuit is itself a signal processing system.

Processing updates

As new applications emerge in signal processing, novel approaches are brewing as well.

Drawing on work pioneered by Oppenheim and his then-student Yonina Eldar (now professor of electrical engineering at Technion and a member of the symposium’s organizing committee), Isaac Chuang believes quantum physics will play a role in signal processing.

“Signals from the physical world are actually quantum as they come in,” says Chuang, another symposium speaker who is professor of EECS and physics and Senior Associate Dean of Digital Learning at MIT. “The faintest light from the moon is a quantum signal.” Quantum computing — replacing the ones and zeroes of traditional computers with quantum states — could make calculations for processing signals faster.

Math from the 19th century could also provide a boost to signal processing, says Feder, of Tel Aviv University. Take the quaternion: an extension of complex numbers, but with four elements instead of two. It’s useful for representing certain signals that correspond to the location and orientation of a three-dimensional body in space, like a rotation, he says.

Quaternions may not be the only promising mathematics that could be useful in future signal processing. They’re a special case of a broader branch called Clifford algebras, says Petros Boufounos, senior principal research scientist at Mitsubishi Electric Research Laboratories, adding that all Clifford algebras deserve a second look. “They provide you with amazing structure,” says Boufounos, another member of the symposium’s organizing committee.

Finally, noise and randomness, the historical foes of signals, may prove beneficial. “Intentional randomness is something we don’t completely understand,” Boufounos says. But it can improve performance, he adds. Boufounos shows a picture of a videographer on MIT’s campus with its buildings in the background. When filtered to remove pixels with less contrast, the background disappears. But adding noise brings those features, previously lost, back.

“Randomness can be very useful if we properly harness it,” Boufounos says.

The horizon of innovations in signal processing seems endless. There is no want in demand, according to Oppenheim. “There will always be signals,” he’s often said. “And they will always need processing.”

For more on the Future of Signal Processing Symposium — including photos and videos of presentations -- visit the event website.

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Thursday, December 7, 2017 - 4:00pm

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Intellectual descendants and colleagues of MIT professor Alan V. Oppenheim gathered to mark his 80th birthday and discuss the future of a quietly prolific scientific field.

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Bose Grants for 2017 reward bold and unconventional research visions

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Photo: John Gillooly

MIT Resource Development

Since 2014, the Professor Amar G. Bose Research Grant has supported MIT faculty with innovative and potentially paradigm-shifting research ideas, and this year is no exception: With Bose funding, six research teams composed of nine MIT faculty members -- including two from EECS -- will pursue projects ranging from nanoengineering a light-emitting plant to developing solid-state atmospheric propulsion technology for aircraft.  

Steven Barrett, John Hart, Or Hen, Dina Katabi, Sheila Kennedy, Justin Solomon, Michael Strano, Timothy Swager, and Evelyn Wang were recognized at a reception in late November, hosted by MIT President L. Rafael Reif and attended by past awardees. To celebrate the fifth anniversary of the Bose Grants, MIT also held a colloquium that included a panel discussion about the importance of philanthropic support for basic science research. Katabi is the Andrew and Erna Viterbi Professor of EECS and director of the Networks @ MIT (NETMIT) Group at the Computer Science and Artificial Intelligence Laboratory (CSAIL). Solomon is X-Consortium Career Development Assistant Professor and principal investigator in the Geometric Data Processing Group at CSAIL.

The grant program is named for the late Amar Bose ’51, SM ’52, ScD ’56, a three-time EECS alumnus, longtime MIT faculty member, and founder of the Bose Corporation. This year’s reception also honored his son, Vanu Bose ’87, SM ’94, PhD ’99, another three-time EECS alumnus, who passed away in November. In his opening remarks, President Reif called Vanu Bose the “heart and soul of the Bose program.” “For now, the best way to honor our friend is to appreciate together the wonderful gift that is the Bose research fellowship,” he said.

Vanu’s wife, Judith, spoke to the newest class of fellows about his boundless enthusiasm for the Bose Grants: “Vanu loved this moment. He loved it for the way that it so beautifully and perfectly celebrated the intellectual curiosity of his father, and of Bose Corporation. And he loved it because it was the moment he got to celebrate all of you.”

The grants support unconventional, ahead-of-the-curve, and often interdisciplinary research endeavors that are unlikely to be funded through traditional avenues, yet have the potential to lead to big breakthroughs. Bose Fellows, chosen this year from a pool of more than 100 applicants, receive up to $500,000 over three years of research.  

“That is the promise of the Bose Fellowship, to help bold new ideas become realities, and I’m deeply grateful to the Bose family for making all of it possible,” Reif concluded.

Reinventing propulsion for aircraft

Is it possible to develop a propulsion system for drones and airplanes that involves no moving parts? That is the question that Steven Barrett will explore with his Bose Grant as he works on developing solid-state atmospheric propulsion technology.

“If you think about the history of aviation at a sort of fundamental level, the way in which aircraft are being propelled, the source of thrust, hasn't changed for over 100 years. It still needs a propeller or a turbine,” he explains.

Barrett’s research will employ a principle that involves ionizing air and accelerating the ionized air in an electrostatic field. As the accelerated ions collide with air molecules, they transfer momentum, creating a propulsive force.

“We have experiments that characterize the physics, efficiency, and effectiveness of creating this sort of propulsive force, and we've created simple prototypes as well,” Barrett says. “The next stage will be to try and make propulsion systems that are solid state that have the potential to be practically useful.”

For example, Barrett would like to integrate a solid-state propulsion system into the skin of an aircraft, eliminating the need for external engines or propellers. “The aircraft would pull itself through the air by ionizing air over its surface and then accelerating that air electrostatically,” Barrett explains.

Barrett is excited to use his Bose Grant to see how far forward he can push solid-state propulsion technology. “I think this project fits into the spirit of Bose, which is to do things that are clearly unconventional, high risk, and where you don't really know if it's going to work or not, but you think it's worth taking a risk,” he says.

Building a more informative barcode

John Hart, Dina Katabi, and Tim Swager are developing a high-tech version of the barcodes used to identify everyday retail products. Their technology will combine a radio-frequency antenna with sensors to store and communicate detailed information about a product.

“Basically, you want to have a way of encoding what the product is, where was it born, when was it born, and what's its current state,” Swager explains. “And you'd like to have all of that [built] into something that's going to cost a penny or less.”

The researchers are working on building a radio-frequency antenna embedded with chemical sensors that change their electrical properties in response to chemical stimuli such as carbon dioxide or microbial activity. To keep costs down while scaling up, they will use fast, high- precision printing techniques.

“The goal is to come up with next generation types of resonant, radio-frequency circuits that are coupled into our chemistry, that then can be printed with great precision at high rates for all sorts of packaging applications,” Swager says.

The team hopes their next-generation barcode will help retailers, consumers, and distributors better understand product quality, and while they aren’t sure what the exact outcome will be, the researchers are confident that their cross-disciplinary efforts will produce something useful.

“This was a refreshingly interesting intersection of our areas of expertise, and it's a way to push the boundaries of each of our own research areas as the collective product,” Hart says, adding that Bose funding provides a unique chance for exploration. “The Bose Grant was an opportunity to ask the most open-ended question that we could, and to dream big,” he says.

Seeking light from an unexpected source

Engineer Michael Strano and architect Sheila Kennedy are combining their expertise to develop the ultimate “green” energy technology: They are using nanotechnology to build plants that can provide lighting for buildings and cities.

“Plants are already well adapted for the outdoor environment. They self-repair, they already exist in the places where we would like lamps to function, they live and persist through weather events, they access their own water, and they do all of this autonomously. They're not on a power grid and produce and store their own fuel,” Strano explains. “In my laboratory, we've been asking the question of whether living plants could be the starting point of advanced technology.”

The team is developing a technique that uses four nanoparticles — tiny particles the size of the natural building blocks of a plant — to intercept a chemical pathway the plant uses to make adenosine triphosphate, or ATP, and divert some of this fuel to make the plant luminesce. “These plants are not going to be searchlights or floodlights, but we've calculated that they can have a level of brightness and duration that will serve many important applications,” Strano says.

“Really what we're talking about is a new form of living illumination infrastructure, which could involve many different species of wild-growing plants: single plants, plants aggregated, plants delivered and integrated into the built environment in new ways that are entirely different from the electrical grid paradigm,” Kennedy adds.

Realizing that it would be difficult to secure traditional funding for a project that combines nanotechnology, plant biology, architecture and urban design in such an unprecedented way, Strano and Kennedy looked to Bose. “The Bose is a unique and rare opportunity that MIT has for impactful thinking and the development of new ideas that are both completely logical and mind-blowing at the same time,” Kennedy says.

Designing wires to transport heat

With her Bose research grant, Evelyn Wang will attempt to design thermal wires that can efficiently transport heat long distances.

“We daily use electrical wires everywhere, we transfer electricity through the grid using these various cables around cities, and certainly that becomes a very powerful way for us to think about how we distribute electricity,” Wang explains. “However, it is very difficult to transfer thermal energy around the same types of distances, say on the order of hundreds of meters to kilometers.”

Wang is proposing a system that looks like an electrical wire, but takes advantage of the latent heat in liquid to vapor phase change. The wire will have an evaporator at one end that uses heat to vaporize liquid inside a pipe. The vapor will then travel to the other end of the wire, where a condenser will turn it back into a liquid, releasing heat in the process.

Wang is designing a new kind of evaporator that relies on surface tension forces, and she is building a condenser that uses mesh structures to facilitate the condensation process.

“It's kind of like a closed-loop system that looks almost like a solid material,” says Wang, “but there’s actually something passive that's working inside that allows us to be able to facilitate the effective thermal conductivity that you need to be able to now transfer across these length scales that we want.”

A Bose Grant has given Wang the flexibility to pursue what she calls “a little bit of a blue-sky project [that is] really highly exploratory.” “In some ways, the philosophy of what we want to do is quite different. It's something that I don’t think people will believe until they see that it actually works.”

A better way of drawing voting districts

Justin Solomon is using a computer science approach to tackle gerrymandering, a centuries-old political issue that could easily affect the redrawing of voting districts after the 2020 census.

“There are a lot of cases where people engineer the vote that they receive by drawing the lines in a particular way. And it's a really critical issue for our democracy,” Solomon says. “This is one of the great problems at the intersection of mathematics, computation, and society.”

With funding from Bose, Solomon and his team, along with collaborators from the joint Tufts-MIT Metric Geometry and Gerrymandering Group, plan to develop computational tools that will help state lawmakers draw fair districts and help courts objectively assess whether existing districts have been drawn equitably.

One promising approach involves developing a computer program that can generate millions of different political redistricting plans for a given district. Lawmakers could then compare a newly drawn district to the computer-generated versions.

“If it turns out that among the millions and millions of plans that you generated, few if any share fairness properties with the plan drawn by a legislature, then you have a pretty strong argument that something went wrong,” Solomon says.

The team will also use their funding to turn what is currently a volunteer-based research effort into an academic discipline with full-time researchers.

Solomon is especially grateful for his Bose Grant because it is allowing his team to pursue research that could not be funded through traditional avenues. “I think especially in the mathematical and computational community, people are averse to funding what they perceive as politically risky, which is really a shame,” Solomon says. “I view this as a problem with our democracy regardless of what side of the aisle you're on.”

A new approach to particle physics experiments

Or Hen is proposing a bold new approach to particle physics experiments: He will replace traditional long-term experiments involving thousands of researchers and large-scale accelerators with a simple tabletop beta-decay experiment called OLIVIA that can be repeated over and over again in the lab.

“Particle physics is one of the most fundamental aspects of science, where we try to understand what are the building blocks of the universe: the fundamental particles that we're all built of and their interactions,” Hen explains. “And now we're at a point where we know that there's new physics, in the sense that there are features of the universe that we can’t explain using the current particles and interactions that we know of, but so far we did not find any new ones in accelerators.”

Hen’s OLIVIA approach, which he calls “small and broad” involves analyzing nuclear beta decay of a radioactive isotope called lithium-8. To capture what happens during the beta decay process, he will use a new type of beta detector that is essentially a vessel full of gas. He will pump in gas containing lithium-8 nuclei, let it decay, and measure the resulting ionization, which is indicative of the decay process.  

“The advantage of doing low-energy experiments is that I can actually do particle physics experiments in my lab at MIT, literally on a tabletop. This means looking for new physics in an indirect way, which also makes the search very broad,” Hen says. “By measuring the full kinematical distribution of the nuclear decay products, it's been shown that we can get great sensitivity to new physics.”

Hen’s innovative approach to particle physics experiments captures the essence of the Bose Grants. “Bose is an amazing opportunity that really allows me to add a new direction to my research,” Hen says. “Bose basically gives you the freedom to go out on a limb.”
 

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Monday, December 18, 2017 - 8:45am

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Six potentially paradigm-shifting research projects – including two involving EECS faculty – will make strides with funding from Professor Amar G. Bose Research Grants.

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EECS names two associate department heads and creates new strategic leadership role

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L to R: EECS Professors Saman Amarasinghe, Joel Voldman, and Nancy Lynch

EECS Staff

The Department of Electrical Engineering and Computer Science (EECS) has announced the appointment of two new associate department heads (ADHs). Professors Saman Amarasinghe and Joel Voldman have been named as new ADHs, effective immediately, says Asu Ozdaglar, who became EECS department head on Jan. 1.

In addition, EECS has created the role of ADH for strategic directions. Professor Nancy Lynch will be the inaugural holder of this new position, overseeing new academic and research initiatives.

“I am thrilled to be starting my own new role in collaboration with such a strong leadership team,” says Ozdaglar, also the Joseph F. and Nancy P. Keithley Professor of Electrical Engineering and Computer Science. “All three are distinguished scholars and dedicated educators whose experience will contribute greatly to shaping the department’s future.”

Associate Department Heads: Saman Amarasinghe and Joel Voldman

Amarasinghe leads the Commit compiler research group at the Computer Science and Artificial Intelligence Laboratory (CSAIL). His group focuses on programming languages and compilers that maximize application performance on modern computing platforms. It has developed the Halide, TACO, Simit, StreamIt, StreamJIT, PetaBricks, MILK, Cimple, and GraphIt domain-specific languages and compilers, which all combine language design and sophisticated compilation techniques to deliver unprecedented performance for targeted application domains such as image processing, stream computations, and graph analytics..

Amarasinghe also pioneered the application of machine learning for compiler optimization, from Meta optimization in 2003 to OpenTuner extendable autotuner today. He was the co-leader of the Raw architecture project with EECS Professor and edX CEO Anant Agarwal. Recently, his work received a best-paper award at the 2017 Association for ComputingcMachinery (ACM) Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA) conference and a best student-paper award at the 2017 Big Data conference. Amarasinghe was the founder of Determina Inc., a startup based on computer security research pioneered in his MIT research group and later acquired by VMware. He is the faculty director for MIT Global Startup Labs, whose summer programs in 17 countries have helped launch more than 20 startups.

Amarasinghe, a faculty member since 1997, served as an EECS education officer and currently chairs the department’s computer science graduate admissions committee. He developed the popular Performance Engineering of Software Systems (6.172) class with Charles Leiserson, the Edwin Sibley Webster Professor of EECS.  Recently, he has created individualized software project classes such as the Open Source Software Project Lab, the Open Source Entrepreneurship Lab, and the Bring Your Own Software Project Lab.  He received a bachelor’s degree in EECS from Cornell University, and a master’s degree and PhD in electrical engineering from Stanford University. Amarasinghe succeeds Lynch, who had been ADH since September 2016.   

Voldman is a professor in EECS and a principal investigator in the Research Laboratory of Electronics (RLE) and the Microsystems Technology Laboratories (MTL). He received a bachelor’s degree in electrical engineering from the University of Massachusetts, Amherst, and SM and PhD degrees in electrical engineering from MIT. During his time at MIT, he developed biomedical microelectromechanical systems (bioMEMS) for single-cell analysis. Afterward, he was a postdoctoral associate in George Church’s lab at Harvard Medical School, where he studied developmental biology. He returned to MIT as an assistant professor in EECS in 2001. He was awarded the NBX Career Development Chair in 2004, became an associate professor in 2006, and was promoted to professor in 2013.

Voldman’s research focuses on developing microfluidic technology for biology and medicine, with an emphasis on cell sorting and stem cell biology. He has developed a host of technologies to arrange, culture, and sort diverse cell types, including immune cells, endothelial cells, and stem cells. Current areas of research include recapitulating the induction of atherosclerosis on a microfluidic chip, and using microfluidic tools to study how immune cells decide to attack tumor cells. He is also interested in translational medical work, such as developing point-of-care drop-of-blood assays for proteins and rapid microfluidic tests for immune cell activation for the treatment of sepsis. 

In addition, Voldman has co-developed two introductory EECS courses. One, Introduction to EECS via Medical Technology (6.03), uses medical devices to introduce EECS concepts such as signal processing and machine learning. The other, more recent class, Interconnected Embedded Systems (6.S08/6.08), uses the “Internet of Things” to introduce EECS concepts such as system partitioning, energy management, and hardware/software co-design. 

Voldman has received multiple awards, including a National Science Foundation (NSF) CAREER award, an American Chemical Society (ACS) Young Innovator Award, a Bose Fellow grant, MIT’s Jamieson Teaching Award, a Louis D. Smullin (’39) Award for Teaching Excellence from EECS, a Frank Quick Faculty Research Innovation Fellowship from EECS, an IEEE/ACM Best Advisor Award, and awards for posters and presentations at international conferences. Voldman succeeds Ozdaglar.

Associate Department Head for Strategic Directions: Nancy Lynch 

Lynch, the NEC Professor of Software Science and Engineering, also heads the Theory of Distributed Systems research group in CSAIL.

She is known for her fundamental contributions to the foundations of distributed computing. Her work applies a mathematical approach to explore the inherent limits on computability and complexity in distributed systems. Her best-known research is the “FLP" impossibility result for distributed consensus in the presence of  process failures. Other research includes the I/O automata system  modeling frameworks. Her recent work focuses on wireless network  algorithms and biological distributed algorithms.

Lynch has written or co-written hundreds of research articles. She is the author of the textbook “Distributed Algorithms'' and co-author of “Atomic Transactions” and “The Theory of Timed I/O Automata.” She is an ACM Fellow, a Fellow of the American Academy of Arts and Sciences, and a member of the National Academy of Science and the National Academy of Engineering.  She has received the Dijkstra Prize (twice), the van Wijngaarden prize, the Knuth Prize, the Piore Prize, and the Athena Prize.

A member of the MIT faculty since 1982, Lynch has supervised 30 PhD students and similar numbers of master’s-degree candidates and postdoctoral associates, many of whom have themselves become research leaders. She received a bachelor’s degree from Brooklyn College and a PhD from MIT, both in mathematics.

Date Posted: 

Wednesday, January 10, 2018 - 2:45pm

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Professors Saman Amarasinghe and Joel Voldman have been named ADHs. Professor Nancy Lynch becomes ADH for Strategic Directions.

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