| 1 Jitendra Malik (Professor, University of California at Berkeley) |
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| Expertise: Object Recognition / Two-View Motion Estimation Learning Search Control Rules / Explanation-based Approach Interactive Visualization / Computer graphics Machine Learning | |||||
| 2 Robert E. Schapire (Princeton University Department of Computer Science) |
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| Expertise: Communication Complexity / Lower Bounds Information Retrieval / Probabilistic Indexing Machine Learning | |||||
| 3 M. I. Jordan (Professor, Department of EECS Department of Statistics University of California, Berkeley) |
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| Expertise: Data Compression / Arithmetic Coding Machine Learning | |||||
| 4 Alex Pentland (Professor, Massachusetts Institute of Technology) |
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| Expertise: Search Technology / News Brief Face Recognition / Human Motion Object Recognition / Two-View Motion Estimation Wearable Systems / Complex system Learning Search Control Rules / Explanation-based Approach Machine Learning | |||||
| 5 R. Rivest (Professor, Department of Electrical Engineering and Computer Science MIT) |
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| Expertise: Communication Complexity / Lower Bounds Error function / Runge-Kutta integration Computer / Systems Signature Schemes / Authenticated Key Exchange Secure Machine Learning | |||||
| 6 S. Thrun (Professor of Computer Science, Computer Science Department Stanford University) |
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| Expertise: Learning Search Control Rules / Explanation-based Approach Mobile Robot / Hybrid Control Machine Learning | |||||
| 7 L. Valiant (Professor, Computer Science and Applied Mathematics, School of Engineering and Applied Sciences, Harvard University.) |
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| Expertise: Communication Complexity / Lower Bounds Machine Learning | |||||
| 8 P. Viola (Principal Scientist, Microsoft Live Labs ) |
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| Expertise: Object Recognition / Two-View Motion Estimation Machine Learning | |||||
| 9 Y. Freund (Department of Computer Science and Engineering University of California) |
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| Expertise: Expression data / Microarray experiment Machine Learning | |||||
| 10 Yoram Singer (Research Scientist, Google) |
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| Expertise: Natural Language System / Statistical Machine Translation Data Compression / Arithmetic Coding Machine Learning | |||||
| 11 J. R. Quinlan |
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| Expertise: Data Analysis / Computer Systems Learning Search Control Rules / Explanation-based Approach Machine Learning | |||||
| 12 Guillermo Sapiro (Department of Electrical and Computer Engineering University of Minnesota ) |
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| Expertise: Image Registration / MR Images Wavelet image coding / Video compression Object Recognition / Two-View Motion Estimation Interactive Visualization / Computer graphics Machine Learning | |||||
| 13 Andrew Ng (Associate Professor, Computer Science Department Department of Electrical Engineering (by courtesy) Stanford University ) |
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| Expertise: Bayesian Networks Mobile Robot / Hybrid Control Machine Learning | |||||
| 14 V. N. Vapnik (Professor, Department of Computer Science, University of London) |
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| Expertise: Neural Networks / BYY learning Machine Learning | |||||
| 15 Sally Floyd (staff scientist, AT&T-funded research institute at ICSI in Berkeley California.) |
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| Expertise: Wireless network / End-to-end Routing Behavior Machine Learning | |||||
| 16 S. Geman (Professor:, Applied Mathematics ) |
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| Expertise: Channel state information / Universal coding Natural Language System / Statistical Machine Translation Object Recognition / Two-View Motion Estimation Machine Learning | |||||
| 17 Nir Friedman (Professor, School of Computer Science and Engineering Alexander Silberman Institute of Life Sciences The Hebrew University of Jerusalem) |
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| Expertise: Expression data / Microarray experiment Data Compression / Arithmetic Coding Learning Search Control Rules / Explanation-based Approach Bayesian Networks Machine Learning | |||||
| 18 Leo Breiman (Leo Breiman (Professor Emeritus) is is a member of the National Academy of Sciences. His current research interests are in computationally intensive multivariate analysis including the use of nonlinear methods for pattern recognition and prediction in high dimensional spaces. He is a co-author of Classification and Regression Trees and he has developed decision trees as computationally efficient alternatives to neural nets. This work has applications in speech and optical character recognition. He is the author of the textbooks Probability and Stochastic Processes with a View Toward Applications, Statistics with a View Toward Applications, and Probability, Some recent papers are available by FTP) |
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| Expertise: Machine Learning | |||||
| 19 David Haussler (Professor, Bioinformatics and computational biology) |
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| Expertise: Communication Complexity / Lower Bounds Expression data / Microarray experiment Data Compression / Arithmetic Coding Machine Learning | |||||
| 20 W. Burgard (Professor, computer science University of Freiburg) |
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| Expertise: Intelligent Systems / Artificial Intelligence Intelligent User Interfaces / National RoboCup Team Mobile Robot / Hybrid Control Machine Learning | |||||
| 21 Dieter Fox (Associate Professor and Director, Department of Computer Science & Engineering University of Washington) |
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| Expertise: Adaptive Mobile Applications / Pervasive Computing Systems Learning Search Control Rules / Explanation-based Approach Mobile Robot / Hybrid Control Machine Learning | |||||
| 22 Padhraic Smyth (Professor and Director, School of Information and Computer Sciences, Center for Machine Learning and Intelligent Systems, University of California, Irvine) |
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| Expertise: Data mining Bayesian Networks Machine Learning | |||||
| 23 Daphne Koller (Professor, Computer Science Department Stanford University ) |
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| Expertise: Communication Complexity / Lower Bounds Data Compression / Arithmetic Coding Object Recognition / Two-View Motion Estimation Learning Search Control Rules / Explanation-based Approach Bayesian Networks Machine Learning | |||||
| 24 Andrew McCallum (Professor, Department of Computer Science University of Massachusetts Amherst) |
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| Expertise: Natural Language System / Statistical Machine Translation Information Retrieval / Probabilistic Indexing Data mining Learning Search Control Rules / Explanation-based Approach Bayesian Networks Machine Learning | |||||
| 25 Trevor Darrell (Professor, University of California, Berkeley, CA) |
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| Expertise: Face Recognition / Human Motion Object Recognition / Two-View Motion Estimation Machine Learning | |||||
| 26 Tomaso Poggio (Investigator and Professor, Department of Brain and Cognitive Sciences MIT) |
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| Expertise: Face Recognition / Human Motion Object Recognition / Two-View Motion Estimation Face recognition / Image analysis Machine Learning | |||||
| 27 H. Mannila (Professor, Helsinki University of Technology) |
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| Expertise: Logic Programs Data mining XML Data Machine Learning | |||||
| 28 Pedro Domingos (Associate Professor, Dept. of Computer Science & Engineering University of Washington) |
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| Expertise: Semantic Web / Ontology Alignment Data mining Learning Search Control Rules / Explanation-based Approach Machine Learning | |||||
| 29 Michael L. Littman (Professor and Chair, Rutgers University Department of Computer Science) |
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| Expertise: Mechanism design / Learning Stochastic Finite Automata Wireless Networks / Algorithmic Complexity Multi-Agent Systems / Agent organization Learning Search Control Rules / Explanation-based Approach Bayesian Networks Machine Learning | |||||
| 30 Avrim Blum (Professor, Department of Computer Science Carnegie Mellon University) |
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| Expertise: Mechanism design / Learning Stochastic Finite Automata Communication Complexity / Lower Bounds Approximation Algorithms / Perfect Graphs Machine Learning | |||||
| 31 Alexander Smola (Principal Research Scientist and Professor, Yahoo! Research, Australian National University) |
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| Expertise: Machine Learning | |||||
| 32 M. J. Pazzani (Professor, Computer Science, Rutgers, The State University of New Jersey) |
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| Expertise: Data mining Learning Search Control Rules / Explanation-based Approach Intelligent User Interfaces / National RoboCup Team Machine Learning | |||||
| 33 Zoubin Ghahramani (Professor, Department of Engineering University of Cambridge) |
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| Expertise: Expression data / Microarray experiment Object Recognition / Two-View Motion Estimation Machine Learning | |||||
| 34 A. L. Yuille (professor, Department of Statistics, University of California, Los Angeles. ) |
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| Expertise: Neural Networks / BYY learning Image Registration / MR Images Object Recognition / Two-View Motion Estimation Machine Learning | |||||
| 35 W. Freeman (Professor, Dept. of Electrical Engineering and Computer Science Massachusetts Institute of Technology) |
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| Expertise: Object Recognition / Two-View Motion Estimation Interactive Visualization / Computer graphics Machine Learning | |||||
| 36 John D. Lafferty (Professor of Computer Science, Machine Learning, and Statistics, Computer Science Department, Machine Learning Department, Department of Statistics, Carnegie Mellon University) |
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| Expertise: Natural Language System / Statistical Machine Translation Information Retrieval / Probabilistic Indexing Machine Learning | |||||
| 37 D. Heckerman (Manager, Machine Learning and Applied Statistics (MLAS) Group, Microsoft Research) |
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| Expertise: Data mining Learning Search Control Rules / Explanation-based Approach Bayesian Networks Machine Learning | |||||
| 38 Thorsten Joachims (Associate Professor, Department of Computer Science Cornell University) |
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| Expertise: Wireless Networks / Algorithmic Complexity Information Retrieval / Probabilistic Indexing Machine Learning | |||||
| 39 C. J. C. Burges (Principal Researcher manager, Web Learning Group Text Mining Search and Navigation Group Microsoft Research) |
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| Expertise: Data Compression / Arithmetic Coding Machine Learning | |||||
| 40 L. Kaelbling (Professor, Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology) |
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| Expertise: Learning Search Control Rules / Explanation-based Approach Bayesian Networks Machine Learning | |||||
| 41 Dana Ballard (Professor, University of Texas at Austin Computer Science Brain & Cognitive Sciences) |
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| Expertise: Neural Networks / BYY learning Learning Search Control Rules / Explanation-based Approach Machine Learning | |||||
| 42 Isabelle Guyon (ClopiNet) |
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| Expertise: Neural Networks / BYY learning Character Recognition Face recognition / Image analysis Machine Learning | |||||
| 43 Christopher Manning (Associate Professor, Computer Science and Linguistics Natural Language Processing group Stanford University) |
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| Expertise: Natural Language System / Statistical Machine Translation Machine Learning | |||||
| 44 Ian H. Witten (Professor, Department of Computer Science University of Waikato New Zealand) |
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| Expertise: Data Compression / Arithmetic Coding Digital library / Information Access Programming Language / Multiprogramming System Interactive Computer Systems / Knowledge Acquisition Database Systems / Programming Languages Machine Learning | |||||
| 45 Fernando C. N. Pereira (Professor Chair, Computer and Information Science University of Pennsylvania) |
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| Expertise: Logic Programs Natural Language System / Statistical Machine Translation Learning Search Control Rules / Explanation-based Approach Machine Learning | |||||
| 46 Chih-Jen Lin (Professor, Department of Computer Science, National Taiwan University) |
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| Expertise: Neural Networks / BYY learning Delay Test / Analysis Replace Fault Simulation Machine Learning | |||||
| 47 Thomas Dietterich (Professor and Director of Intelligent Systems, School of Electrical Engineering and Computer Science) |
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| Expertise: Learning Search Control Rules / Explanation-based Approach Intelligent User Interfaces / National RoboCup Team Machine Learning | |||||
| 48 D. J. C. MacKay (Gatsby Senior Research Fellow Professor, Department of Physics Cavendish Laboratory, University of Cambridge.) |
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| Expertise: Expression data / Microarray experiment Logic Programs / Algebraic Semantics Binary code / Error detection Mobile Robot / Hybrid Control Machine Learning | |||||
| 49 Raymond J. Mooney (Professor, Computer Sciences University of Texas at Austin ) |
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| Expertise: Natural Language System / Statistical Machine Translation Data mining Learning Search Control Rules / Explanation-based Approach Machine Learning | |||||
| 50 Joe Kilian (Computer Science Department Rutgers University ) |
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| Expertise: Communication Complexity / Lower Bounds Signature Schemes / Authenticated Key Exchange Secure Machine Learning | ||||