massachusetts institute of technology

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Experts for: Computer science, computing, IT

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Scott Aaronson

Associate professor, Department of Electrical Engineering and Computer Science
areas of expertise: computing, quantum computing, foundations of quantum mechanics, theoretical computer science
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Scott AaronsonScott Aaronson is an associate professor of electrical engineering and somputer science at MIT, and a member of the Theory of Computation and Complexity Theory groups.

He holds a PhD in computer science from the University of California, Berkeley, a bachelor's degree from Cornell University, and a GED from New York state. Before coming to MIT, he worked as a postdoctoral researcher at the Institute for Advanced Study in Princeton, N.J., from 2004-2005, and at the Institute for Quantum Computing at the University of Waterloo in Ontario, Canada, from 2005-2007.

His research interests center around fundamental limits on what can efficiently be computed in the physical world. This has entailed studying quantum computing, the most powerful model of computation we have based on known physical theory. His work on this subject has included limitations of quantum algorithms in the black-box model; algorithms for quantum spatial search and for simulating restricted classes of quantum circuits; the learnability of quantum states; quantum versus classical proofs and advice; and the power of postselected quantum computing and quantum computing with closed timelike curves. He also maintains an active interest in many topics in classical theoretical computer science, including circuit lower bounds, computational learning theory, communication complexity, Bayesian agreement and inference, and the interplay of complexity and rationality.

Anant Agarwal

Director of CSAIL
areas of expertise: computer science, computing, information technology (it), artificial intelligence (ai), robotics, electrical engineering and electronics, online education, cloud computing, computer architecture, multicore processors
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Anant AgarwalAnant Agarwal is the Director of CSAIL (Computer Science and Artificial Intelligence Laboratory) and a professor of Electrical Engineering and Computer Science at MIT.  He leads the Carbon group, which focuses on research involving operating systems and architectures for manycores and clouds. He is also a founder and CTO of Tilera Corporation which created the Tile multicore processor. Agarwal holds a Ph.D. from Stanford and a bachelor's from IIT Madras. He led the development of Raw – an early tiled multicore processor, Sparcle – an early multithreaded microprocessor, and Alewife – a scalable multiprocessor. He also led the VirtualWires project at MIT and was the founder of Virtual Machine Works, which took the VirtualWires technology to market. Agarwal won the Maurice Wilkes prize for computer architecture, and MIT’s Smullin and Jamieson prizes for teaching. He holds a Guinness World Record for the largest microphone array based on Raw, and is an author of the textbook “Foundations of Analog and Digital Electronic Circuits."

Saman P. Amarasinghe

Professor, Department of Electrical Engineering and Computer Science
areas of expertise: compiler optimizations, computer architecture, software engineering and parallel computing, compilation, program analysis and optimization, computer security, performance engineering of software systems, information technology for development
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Saman P. AmarasingheSaman P. Amarasinghe is a professor in the Department of Electrical Engineering and Computer Science at MIT and a member of the Computer Science and Artificial Intelligence Laboratory. Currently he leads the Commit compiler group.

Under Amarasinghe's guidance, the Commit group developed the PetaBricks and StreamIt languages and compilers, DynamoRIO dynamic instrumentation system, Program Shepherding to protect programs against external attacks and Superword Level Parallelism for multimedia extensions. His research interests are in discovering novel approaches to improve the performance of modern computer systems and make them more secure without unduly increasing the complexity faced by either the end users, application developers, compiler writers, or computer architects. Amarasinghe was also the founder of Determina Corporation, which was acquired by VMware.

Amarasinghe received his BS in Electrical Engineering and Computer Science from Cornell University in 1988, and his MSEE and PhD from Stanford University in 1990 and 1997, respectively.

Karl Berggren

Emanuel E. Landsman Associate Professor, Department of Electrical Engineering and Computer Science
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Methods of nanofabrication, especially applied to superconducting photodetectors, templated self-assembly, computing

Karl Berggren is the Emanuel E. Landsman (1958) Career Development Associate Professor of Electrical Engineering at MIT, Department of Electrical Engineering and Computer Science, where he heads the Quantum Nanostructures and Nanofabrication Group. He is also director of the Nanostructures Laboratory in the Research Laboratory of Electronics and is a core faculty member in the Microsystems Technology Laboratory.

From 1996 to 2003, Berggren served as a staff member at MIT Lincoln Laboratory in Lexington, Mass. His current research focuses on methods of nanofabrication, especially applied to superconductive quantum circuits, photodetectors, high-speed superconductive electronics, and energy systems. His thesis work focused on nanolithographic methods using neutral atoms.

V. Michael Bove Jr.

Principal research scientist, MIT Media Laboratory
areas of expertise: consumer electronics, future video displays, particularly 3-d, holography and holographic television, user interface, interactive systems, digital storytelling, digital technologies
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V. Michael Bove Jr. holds an SBEE, an SM in visual studies and a PhD in media technology, all from MIT, where he is currently head of the Object-Based Media Group at the Media Laboratory, co-directs the Center for Future Storytelling, and directs the consumer electronics program CELab.

He is the author or co-author of more than 60 journal or conference papers on digital television systems, video processing hardware/software design, multimedia, scene modeling, visual display technologies and optics. He holds patents on inventions relating to video recording, hardcopy, interactive television, and medical imaging, and has been a member of several professional and government committees. He is coauthor with the late Stephen A. Benton of the book Holographic Imaging (Wiley, 2008). He is on the Board of Editors of the Journal of the Society of Motion Picture and Television Engineers, and associate editor of Optical Engineering. He served as general chair of the 2006 IEEE Consumer Communications and Networking Conference (CCNC'06), and is a member of Board of Governors of the National Academy of Media Arts and Sciences. Bove is a fellow of the SPIE and of the Institute for Innovation, Creativity, and Capital. He was a founder of and technical advisor to WatchPoint Media (now a part of Tandberg Television) and is technical advisor to One Laptop Per Child (creators of the XO laptop for children in developing countries).

Anantha Chandrakasan

Professor, Department of Electrical Engineering and Computer Science; director, Microsystems Technology Lab
areas of expertise: electrical engineering, biomedical electronics, microsystems, digital integrated circuits, ultra-low power implementation of digital integrated systems, algorithms and protocols for wireless communication, system level computer-aided design tools, digital signal processing, portable multimedia devices, design methodologies for emerging technologies, design of digital integrated circuits and systems, wireless systems, circuits techniques for deep sub-micron technologies
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Anantha ChandrakasanAnantha P. Chandrakasan received the BS, MS and PhD degrees in electrical engineering and computer sciences from the University of California, Berkeley, in 1989, 1990 and 1994, respectively. Since September 1994, he has been with MIT, where he is currently the Joseph F. and Nancy P. Keithley Professor of Electrical Engineering. 

He was a co-recipient of several awards, including the 1993 IEEE Communications Society's Best Tutorial Paper Award, the IEEE Electron Devices Society's 1997 Paul Rappaport Award for the Best Paper in an EDS publication during 1997, the 1999 DAC Design Contest Award, the 2004 DAC/ISSCC Student Design Contest Award, the 2007 ISSCC Beatrice Winner Award for Editorial Excellence and the ISSCC Jack Kilby Award for Outstanding Student Paper (2007, 2008, 2009). He received the 2009 Semiconductor Industry Association University Researcher Award.

His research interests include low-power digital integrated circuit design, wireless microsensors, ultra-wideband radios and emerging technologies.

Randall Davis

Professor, Department of Electrical Engineering and Computer Science
areas of expertise: computing, artificial intelligence, intelligent multimodal interfaces and natural interaction, intellectual property issues in software
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Randall Davis received an AB from Dartmouth (summa cum laude, Phi Beta Kappa) in 1970 and a PhD from Stanford in artificial intelligence in 1976. He joined the Department of Electrical Engineering and Computer Science in 1978, and from 1979-1981 held an Esther and Harold Edgerton Endowed Chair. He served for five years as associate director of the Computer Science and Artificial Intelligence Laboratory (CSAIL), and for four years as a research director of CSAIL.

He has been one of the seminal contributors to the field of knowledge-based systems, playing a central role in the development of several systems. His current research involves developing advanced tools that permit natural multimodal interaction with software, via sketching, gesture and speech, particularly for computer-aided design. He and his group have produced multimodal interaction systems in a variety of domains, including physics, chemistry, software, electrical circuits and others.

He has also been active in the area of intellectual property and software. In 1990, he served as expert to the Court in Computer Associates v. Altai, a case that produced the abstraction, filtration, comparison test for software copyright. He served on the panel run by the Computer Science and Telecommunications Board (CSTB) of the National Academy of Science in 1991 that resulted in Intellectual Property Issues in Software. A 1994 paper in the Columbia Law Review analyzed the difficulties in applying intellectual property law to software and proposed a number of remedies. 

He has served as an expert in a variety of cases involving software, including the investigation by the Department of Justice of the Inslaw matter, where he investigated allegations of copyright theft and cover-up by the FBI, the National Security Agency, the Drug Enforcement Agency, the United States Customs Service and the Defense Intelligence Agency. From 1998-2000 he served as the chairman of the National Academy of Sciences study on intellectual property rights and the information infrastructure titled The Digital Dilemma: Intellectual Property in the Information Age (National Academy Press, 2000). 

Fredo Durand

Associate professor of electrical engineering and computer science
areas of expertise: picture generation and creation, pictorial style for non-photorealistic rendering, digital photography and video editing and enhancement, real-time rendering
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Fredo Durand is an associate professor of electrical engineering and computer science at MIT, and a member of the Computer Science and Artificial Intelligence Laboratory (CSAIL).

He received his PhD from Grenoble University, France, in 1999, supervised by Claude Puech and George Drettakis. From 1999-2002, he was a postdoc in the MIT Computer Graphics Group with Julie Dorsey.

Eric Grimson

Head, Department of Electrical Engineering and Computer Science
areas of expertise: computing, computer vision, medical image analysis and processing, image guided surgery, activity recognition
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Eric GrimsonEric Grimson is a professor of computer science and engineering at MIT, and holds the Bernard Gordon Chair of Medical Engineering at MIT. He is currently serving as the head of the Department of Electrical Engineering and Computer Science at MIT.

He received a BSc (High Honors) in mathematics and physics from the University of Regina in 1975 and a PhD in mathematics from MIT in 1980.

Grimson currently heads the Computer Vision Group of MIT's Computer Science and Artificial Intelligence Laboratory, which has pioneered state-of-the-art systems for activity and behavior recognition, object and person recognition, image database indexing, image guided surgery, site modeling and many other areas of computer vision.

Grimson is a fellow of the American Association for Artificial Intelligence (AAAI), a fellow of the IEEE, and was awarded the Bose Award for Excellence in Teaching in the School of Engineering at MIT.

Daniel Jackson

Professor of electrical engineering and computer science; MacVicar Faculty Fellow
areas of expertise: computing, dependability and critical systems, software development approaches, software design, programming languages
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Daniel JacksonDaniel Jackson is professor of computer science at MIT and a MacVicar Teaching Fellow.

He is the lead designer of the Alloy modeling language, and author of Software Abstractions: Logic, Language, and Analysis (MIT Press, 2006). He was chair of a National Academies study titled Software for Dependable Systems: Sufficient Evidence? (National Academies, May 2007) and is currently serving on a National Academies study investigating unintended acceleration and electronic vehicle controls.

He received his MA from Oxford University in Physics, and SM and PhD from MIT in computer science, and has been a software engineer for Logica UK and Assistant Professor of Computer Science at Carnegie Mellon University.

He has broad interests in many areas of software engineering, especially in dependability and critical systems, in software design and specification, and in formal methods.
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