Microsoft Research recognizes these outstanding new faculty members who were nominated by their universities and represent a selection of the best and the brightest in their fields.
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Microsoft Research Faculty Fellows for 2012
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Carnegie Mellon University Assistant Professor Department of Computer Science
Emma Brunskill's research focuses on creating automated decision systems that interact with people, a challenge that spans artificial intelligence, machine learning, and human-computer interaction. She is particularly interested in adaptive, individualized tutoring systems that learn and self-optimize. Emma also works on health applications and on using information communication technologies to address challenges in low resource settings and developing regions.
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Assistant Professor Massachusetts Institute of Technology
Constantinos Daskalakis is the X Consortium Assistant Professor of Computer Science at MIT. His research studies the interface of computer science and economics, with a focus on computational aspects of the Internet, online markets, and social networks. Daskalakis has been honored with the 2007 Microsoft Graduate Research Fellowship, the 2008 ACM Doctoral Dissertation Award, the 2010 Sloan Fellowship, the 2011 SIAM Outstanding Paper Prize, and the MIT Ruth and Joel Spira Award for Distinguished Teaching. His work on the complexity of the Nash equilibrium was honored by the Game Theory Society with the First Computer Science and Game Theory prize. Daskalakis received his PhD in Computer Science from UC Berkeley and was a post-doctoral researcher at Microsoft Research prior to joining MIT.
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Senior Lecturer Australian National University School of Computer Science
Stephen Gould is a faculty member in the Research School of Computer Science at the Australian National University. He received his PhD from Stanford University in 2010. Prior to his PhD, Stephen founded and worked in a number of start-up companies. Stephen's current research interests are in developing mathematical models that allow computers to learn how to interpret scenes from images. This involves recognizing objects and understanding how they interact with other objects and with their environment.
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ETH Zurich Assistant Professor Department of Computer Science
Andreas Krause's research is in learning and adaptive systems that actively acquire information; reason; and make decisions in large, distributed, and uncertain domains, such as sensor networks and the web. It spans theoretical aspects in machine learning and optimization, as well as interdisciplinary applications, ranging from community sensing to computational sustainability to social networks. He got his PhD in Computer Science from Carnegie Mellon University in 2008. He is a Kavli Frontiers Fellow of the U.S. National Academy of Sciences, and received an NSF CAREER award as well as several best paper awards.
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University of Utah Assistant Professor School of Computing
Miriah Meyer's research lives at the interface of computer science and data-intensive domains, where she designs interactive visualization systems that help scientists make sense of complex data. Her current work focuses on nimble and intuitive visualization tools that support research in genomics and molecular biology. Meyer takes a user-centered, problem-driven approach to developing visualizations that target specific scientific questions, working closely with scientists in an iterative and collaborative process. Her tools are integrated into the workflow of numerous biological labs and have led to several scientific discoveries, as well as to the validation and refinement of experimental and computational methods.
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Assistant Professor Universidad del Norte Electrical and Electronic Engineering
Juan Carlos is interested in helping computers and robots see the world. In particular, his research is focused on designing novel algorithms for automatic recognition and detailed understanding of human motions, activities, and behaviors from images and videos. This technology has the potential to enable new life-improving activity-aware systems, such as personal robots and smart homes, smart video surveillance, medical diagnosis and monitoring, automated sports analysis, and semantic video search.
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Assistant Professor Cornell University
Ashutosh Saxena works on a new generation of robots that will operate fully autonomously in human environments. His research is focused on the development of new machine-learning algorithms that enable robots to process massive amounts of sensory input data in real time and learn how to perform tasks in unstructured environments. His primary application domain is in assistive robotics, where his algorithms have enabled robots to perform tasks such as fetching items on verbal request, perform basic household chores, and identify and assist in human activities. He hopes to see such assistive robots appear in our homes, offices, and nursing homes soon.
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Microsoft Research Faculty Fellows for 2011
Maria Florina Balcan
Georgia Institute of Technology
Assistant Professor
School of Computer Science
Maria Florina Balcan is an assistant professor in the School of Computer Science at Georgia Institute of Technology. She received her PhD in Computer Science from Carnegie Mellon University under the supervision of Avrim Blum. From October 2008 until July 2009, she was a postdoc at Microsoft Research, New England. Her main research interests are computational and statistical machine learning, computational aspects in economics and game theory, and algorithms. She is a recipient of the Carnegie Mellon University SCS Distinguished Dissertation Award and the National Science Foundation NSF CAREER Award.
Krishnendu Chatterjee
IST Austria
Assistant Professor
Krishnendu is interested in graph games that arise in the formal verification of systems, and has deep connections with logic and automata theory. He established many fundamental results related to stochastic games on graphs, and is currently working on quantitative graph games and its application to synthesis of correct systems. He got his PhD from University of California, Berkeley in 2007, and his thesis won the David Sakrison Memorial Prize and Ackermann Award.
Jure Leskovec
Stanford University
Assistant Professor
Department of Computer Science
Jure Leskovec is an assistant professor of Computer Science at Stanford University. His research focuses on the analysis and modeling of large social and information networks as the study of phenomena across the social, technological, and natural worlds. Problems he investigates are motivated by large scale data, the Web and Social Media. Jure received his PhD in Machine Learning from Carnegie Mellon University in 2008 and spent a year at Cornell University. His work received six best paper awards, won the ACM KDD cup and topped the Battle of the Sensor Networks competition
Alistair McEwan
The University of Sydney
Lecturer of Computer Engineering
School of Electrical and Information Engineering
Alistair McEwan’s work aims to solve major health issues with technology, and involves research in the emerging field of bioelectronics—the interaction between electronics and biology. His current investigation of the electrode–skin interface aims to improve emergency diagnosis of heart attack and stroke as well as long-term monitoring of cardiovascular disease. He also works on related projects in electrical-impedance imaging systems, microelectronic circuits and systems, and neuromorphic engineering.
Shwetak Patel
University of Washington
Assistant Professor
Departments of Computer Science & Engineering and Electrical Engineering
Shwetak Patel's research is at the intersection of hardware, software, and human-computer interaction. His research focuses on building easy-to-deploy and practical sensing systems for the home. His work is being applied to sustainability, elder care, home safety, and the creation of new approaches for natural user interfaces. Many of his techniques use the existing utilities infrastructure as a "sensor," thereby reducing the need for additional instrumentation. In one example, Patel has developed techniques for energy and water monitoring that provide a detailed breakdown of consumption in the home through monitoring a single point on the utility infrastructure. Through these new sensing approaches, Patel envisions the ability to instrument homes easily with smart technology for high-value applications.
Anderson de Rezende Rocha
University of Campinas
Assistant Professor
Institute of Computing
Prof. Rocha's research interests include digital image and video forensics, computer vision, pattern analysis, and machine intelligence—focused on the field of digital document forensics. He seeks solutions for problems regarding collection, organization, and classification of digital evidence that is used by law enforcement agencies in Brazil and abroad. He is investigating how to reduce the misuse of important evidence and is working on digital categorization solutions to reduce the technical effort that is required to analyze each piece of evidence. Prof. Rocha’s work emphasizes tracking the source of the evidence, new techniques for establishing authenticity, and exposing possible tampering.
Keith Noah Snavely
Cornell University
Assistant Professor
Computer Science Department
Noah Snavely is interested in using massive collections of images on the web to better understand and visualize our world. His research builds new computer-vision algorithms for scalable 3-D reconstruction, new graphics techniques for experiencing places through online photos, and new ways to enable communities of photographers to capture useful image collections. His software is being used by educators, artists, and scientists across a range of disciplines.
Brent Waters
University of Texas
Assistant Professor
Department of Computer Sciences
Brent Waters studies cryptography and computer security. His research is laying the foundations for a new vision of encryption called Functional Encryption. Instead of encrypting to individual users, in a Functional Encryption system, one can embed any access predicate into the cipher text itself. In addition, he is interested in understanding the foundational underpinnings of cryptography and in developing security primitives that are both practical and provably secure.
Microsoft Research Faculty Fellows for 2010
Sinan Aral
NYU Stern School of Business
Department of Information, Operations, and Management Sciences
Doug DowneyNorthwestern University
Department of Electrical Engineering and Computer Science
Raanan Fattal
The Hebrew University of Jerusalem
School of Computer Science and Engineering
abhi shelat
University of Virginia
Department of Computer Science
Haiying Shen
Clemson University
Department of Electrical and Computer Engineering
Cyrill Stachniss
University of Freiburg, Germany
Department of Computer Science
Evimaria Terzi
Boston University
Computer Science Department
Microsoft Research Faculty Fellows for 2009
Gill Bejerano
Stanford University
Developmental Biology and Computer Science
Luis Ceze
University of Washington
Computer Science and Engineering
Nicole Immorlica
Northwestern University, McCormick School of Engineering
Electrical Engineering and Computer Science Department
Svetlana Lazebnik
University of North Carolina at Chapel Hill
Department of Computer Science
Rafael Pass
Cornell University
Department of Computer Science
Microsoft Research Faculty Fellows for 2008
Kristen Grauman
University of Texas at Austin
Computer Sciences
Susan Hohenberger
Johns Hopkins University
Department of Computer Science
Robert Kleinberg
Cornell University
Computer Science
Philip Levis
Stanford University
Departments of Computer Science and Engineering
Karen Lipkow
University of Cambridge
Department of Biochemistry
Russell Tedrake
Massachusetts Institute of Technology
Electrical Engineering and Computer Science
Microsoft Research Faculty Fellows 2007
Magdalena Balazinska
University of Washington
Department of Computer Science and Engineering
Josh Bongard
University of Vermont
Department of Computer Science
Yixin Chen
Washington University in St. Louis
Department of Computer Science and Engineering
Adam Siepel
Cornell University
Biological Statistics and Computational Biology
Luis von Ahn
Carnegie Mellon University
Department of Computer Science
Microsoft Research Faculty Fellows 2006
Regina Barzilay
Massachusetts Institute of Technology
Computer Science and Artificial Intelligence
Aaron Hertzmann
University of Toronto
Computer Science
Scott Klemmer
Stanford University
Computer Science
Eddie Kohler
University of California, Los Angeles
Computer Science
Fei-Fei Li
Stanford University
Computer Science
Mark Rouncefield
University of Lancaster
Computing Department
Andrey Rybalchenko
Max Planck Institute for Software Systems
Microsoft Research Faculty Fellows 2005
Ruth Baker
University of Oxford
Centre for Mathematical Biology
Frédo Durand
Massachusetts Institute of Technology
Computer Graphics
Subhash Khot
Georgia Institute of Technology
College of Computing
Dan Klein
University of California at Berkeley
Computer Science Division
Radhika Nagpal
Harvard University
School of Engineering and Applied Sciences
Wei Wang
University of North Carolina at Chapel Hill
Department of Computer Science
Klaus-Peter Zauner
University of Southampton
School of Electronic and Computer Science
