massachusetts institute of technology

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Ramesh Raskar

Associate professor, Program in Media Arts and Sciences
areas of expertise: computational photography imaging optics, signal processing, computing
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Ramesh Raskar joined the Media Lab from Mitsubishi Electric Research Laboratories in 2008 as head of the Lab’s Camera Culture research group.

His research interests span the fields of computational photography, inverse problems in imaging and human-computer interaction. Recent inventions include transient imaging to look around a corner, next generation CAT-scan machine, imperceptible markers for motion capture, long distance barcodes (Bokode), touch+hover 3-D interaction displays (BiDi screen), low-cost eye care devices and new theoretical models to augment light fields (ALF) to represent wave phenomena.

In 2004, Raskar received the TR35 Award from Technology Review, which recognizes top young innovators under the age of 35, and in 2003, the Global Indus Technovator Award, instituted at MIT to recognize the top 20 Indian technology innovators worldwide. In 2009, he was awarded a Sloan Research Fellowship. He holds 40 U.S. patents and has received four Mitsubishi Electric Invention Awards. He is currently co-authoring a book on computational photography.

Daniela Rus

Associate director, Computer Science and Artificial Intelligence Lab; co-director, CSAIL Center for Robotics; EECS professor
areas of expertise: technology and policy, transportation systems, industry studies, information systems, manufacturing systems and policy, international competitiveness, industrial strategy and development in the automobile industry, engineering systems, lean advancement initiative (lai), international motor vehicle program (imvp), ford motor company-mit alliance, cooperative mobility program, robotics and mobile computing, agriculture automation and automation for environmental studies
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Daniela RusDaniela Rus is a professor in the Department of Electrical Enginnering and Computer Science at MIT. She co-directs the Computer Science and Artificial Intelligence Laboratory (CSAIL) Center for Robotics.

Previously, she was an assistant professor, associate professor and professor in the Computer Science Department at Dartmouth. She holds a PhD in computer science from Cornell University. Her research interests include robotics, mobile computing, sensor networks, and information organization. She is a Class of 2002 MacArthur Fellow.

Devavrat Shah

Jamieson Associate Professor, Department of Electrical Engineering and Computer Science
areas of expertise: computing, network algorithms, statistical inference, revenue maximization, wireless networks
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Devavrat Shah is currently a Jamieson Career Development associate professor with the Department of Electrical Engineering and Computer Science.

His research focus is on the theory of large complex networks which includes network algorithms, stochastic networks, network information theory and large scale statistical inference.

He was co-awarded the best paper awards at the IEEE INFOCOM '04, ACM SIGMETRICS/Performance '06; and supervised work that received the best student paper awards at Neural Information Processing Systems '08 and ACM SIGMETRICS/Performance '09. He received the 2005 George B. Dantzig best dissertation award from the INFORMS. He received the first ACM SIGMETRICS Rising Star Award 2008 for his work on network scheduling algorithms. He is currently an Associate Editor of Operations Research.

Michael Sipser

Faculty director, Lemelson-MIT Program
areas of expertise: theoretical computer science, complexity theory, algorithms, mathematical logic, combinatorics and graph theory
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Michael SipserMichael Sipser is a theoretical computer scientist. He is head of the Department of Mathematics, a professor of applied mathematics, and a member of the Computer Science and Artificial Intelligence Laboratory.

He is well known for his work on complexity theory, automata and language theory, and algorithms. He is the author of the widely used textbook Introduction to the Theory of Computation.

His published research spans several areas, including efficient error correcting codes, combinatorial algorithms, interactive proof systems, quantum computation and establishing the inherent computational difficulty of problems.

David Staelin

Professor, Department of Electrical Engineering and Computer Science
areas of expertise: remote sensing, wireless communications, signal processing and estimation, environmental sensing, microwave atmospheric sounding, meteorological satellites, spike signal processing in neurons, electrical engineering
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David Staelin has been a member of the Department of Electrical Engineering and Computer Science faculty and Research Laboratory of Electronics since 1965. He also was assistant director, MIT Lincoln Laboratory (1990-2001); co-founder, MIT Venture Mentoring Service (2000); chairman, MIT's EECS Graduate Area in Electronics, Computers and Systems (1976-1990); and a faculty member of MIT's Leaders for Manufacturing Program (1985-1998). He was a director of environmental research and technology (1969-1978), and co-founder and chairman of PictureTel Corp. (1984-87). He is a fellow of the IEEE and AAAS, and received the 1996 Distinguished Achievement Award from the IEEE Geoscience and Remote Sensing Society.

Staelin was a member of the President's Information Technology Advisory Committee (2003-05), chairman of the National Academy of Sciences Committee on Radio Frequency Requirements for Research (1983-86), and a member of several NASA committees and working groups, including the Space Applications Advisory Committee; the Advanced Microwave Sounder Working Group; the Geostationary Platform-Earth Science Steering Committee; and the Tropical Rainfall Measuring Mission Science Steering Group. He was principal investigator for the NASA Nimbus-E Microwave Spectrometer (launched 1972 on Nimbus 5), and the Scanning Microwave Spectrometer (launched 1975 on Nimbus 6). He was co-investigator of the Scanning Multichannel Microwave Spectrometer (1977 launch, Nimbus 7) and the Voyager Planetary Radio Astronomy Experiment (1977 launch, Voyagers 1 and 2). Additionally, he is a member of the NASA Atmospheric Infrared Sounder team (Aqua launch 2002), the NPP Science Team, the NOAA IPO Sounder Operational Algorithm Team, and the NASA Precipitation Mapping Mission Science Team.

Bruce Tidor

Professor of biological engineering and computer science
areas of expertise: molecular modeling of proteins and nucleic acids, protein structure-function relationships, electrostatic determinants of protein binding affinity and specificity, molecular recognition, protein folding, binding and catalysis, rational molecular design, conformational search, physical chemistry, biological chemistry, biomolecular engineering, computational biology, molecular pharmacology, high-throughput data analysis, systems biology, network modeling and design
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Bruce Tidor is professor of biological engineering and computer science at MIT. He graduated summa cum laude with an AB in chemistry and physics from Harvard College in 1983, and then received a Marshall Scholar Award to study at Oxford University's Wolfson College, where he earned an MSc in biochemistry. He received his PhD in biophysics from Harvard in 1990 and moved to the Whitehead Institute for Biomedical Research, where he started his independent research as a Whitehead Fellow.

In 1994, he was appointed to the faculty at MIT. He serves as founding co-director of MIT’s Computational and Systems Biology Initiative and also founded the associated PhD program.

Dr. Tidor's research focuses on the analysis of complex biological systems at the molecular and cellular level. Using molecular modeling, theory, and computation, he explores the structure, function, and interactions of proteins and nucleic acids and the roles played by specific chemical groups in defining the stability and specificity of molecular interactions. Using cell-level models, his group is exploring the relationship between network structure and biological function. He is actively involved in applying knowledge from modeling studies to rational design.

John Tsitsiklis

Clarence J. LeBel Professor of Electrical Engineering
areas of expertise: analysis, optimization, control and algorithms for deterministic and stochastic systems, resource allocation and decision making in networks
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John Tsitsiklis began his studies at MIT in 1976, and completed his PhD in electrical engineering in 1984. His thesis focused on the subject of decentralized decision-making and distributed computation, under the supervision of Michael Athans.

After serving as an acting assistant professor of electrical engineering at Stanford University (1983-1984), he returned to MIT in 1984 and has since been affiliated with the Laboratory for Information and Decision Systems (LIDS). He has served as a director of the Operations Research Center, and is currently an associate director of LIDS.

Tsitsiklis is the co-author of more than 100 journal papers in the areas of systems, optimization, control and operations research, and a number of books, including Introduction to Probability, with Dimitri Bertsekas. He is a fellow of the IEEE and of INFORMS. In 2007, he was elected to the National Academy of Engineering, and in 2008, he was conferred the title of Doctor honoris causa from the Universite Catholique de Louvain (Belgium).

Alan Willsky

Edwin Sibley Webster Professor of Electrical Engineering and Computer Science; director, Laboratory for Information and Decision Systems
areas of expertise: computer science, estimation, stochastic systems, and statistical signal and image processing, multiresolution methods, image reconstruction, large-scale data assimilation and multisensor fusion, computer vision, and graphical models for inference on complex phenomena, low-level computer vision and segmentation, medical image processing, remote sensing, object recognition and sensor networks
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Nickolai Zeldovich

Douglas T. Ross Career Development Assistant Professor of Software Technology
areas of expertise: building practical secure and scalable systems, operating systems, hardware architecture, databases, programming languages, and distributed systems
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Nickolai Zeldovich is Douglas T. Ross Career Development Assistant Professor at MIT's Department of Electrical Engineering and Computer Science and a member of the Computer Science and Artificial Intelligence Laboratory.

His research interests are in building practical secure systems, from operating systems and hardware to programming languages and security analysis tools. He received his PhD from Stanford University in 2008, where he developed HiStar, an operating system designed to minimize the amount of trusted code by controlling information flow. In 2005, he co-founded MokaFive, a company focused on improving desktop management and mobility using x86 virtualization. Zeldovich received a Sloan fellowship in 2010.
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