|
James
Allen
Natural language understanding, discourse, knowledge representation, common-sense reasoning, and planning.
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Jeffrey
Bigham
Human Computer Interaction, Access Technology, Human Computation, Social Media, Intelligent User Interfaces, Web Accessibility
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Chris
Brown
Artificial intelligence, computer vision, machine learning.
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Liudvikas
Bukys
computer security, networks, distributed application, color image science
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Chen
Ding
Computer programming, locality optimization, memory hierarchy management, suggestion-based program parallelization and optimization.
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Sandhya
Dwarkadas
Parallel and distributed computing, computer architecture, and networks, and in the interaction and interface between the compiler, runtime system, and underlying architecture; software distributed shared memory, integrated compiler and runtime support for parallelism, simulation methodology, uniprocessor and multiprocessor architectures, parallel applications development, and performance evaluation.
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George
Ferguson
Artificial Intelligence; Intelligent agents: agent communication languages, agent architectures; User interfaces: speech recognition, natural language understanding, dialogue, conversational agents; Temporal reasoning: representation, planning, scheduling; Semantic Web: ontologies, knowledge-based systems.
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| Andrew Gallagher |
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Daniel
Gildea
Statistical approaches to natural language processing, machine translation, and language understanding.
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Wendi
Heinzelman
UR Electrical & Computer Engineering
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Lane A.
Hemaspaandra
Computational social choice (elections, preference aggregation, power indices, etc.), counting-based computation, probabilistic computation, unambiguous computation, the importance of query order when accessing databases, the study of efficient algorithms for complex sets, computational complexity theory, and complexity-theoretic aspects of security, fault-tolerance, and data compression.
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Michael
Huang
UR Electrical & Computer Engineering
Computer architecture with a particular interest in exploring new capabilities in the underlying device and circuit technologies.
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Engin
Ipek
Computer architecture, with an emphasis on multicore architectures, hardware-software interaction, and the application of machine learning to computer systems.
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Robert A.
Jacobs
UR Brain & Cognitive Science
Brain & Cognitive Sciences, Computer Science, & the Center for Visual Science
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T. Florian
Jaeger
UR Brain & Cognitive Science
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Henry
Kautz
Affiliate Professor, University of Washington
Artificial intelligence, assistive technology, statistical-relational reasoning, logic and satisfiability testing, language and social networks.
|
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David C.
Knill
UR Brain & Cognitive Science
|
| Hans Koomen |
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Jiebo
Luo
IEEE, ACM, SPIE, IAPR
Computer Vision, Machine learning, Data Mining, Social Media, Biomedical Informatics, Human Computer Interaction, Ubiquitous and Mobile Computing
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Randal
Nelson
Machine vision and robotics, object recognition and learning representations at the interface between feature-based and appearance-based approaches, vision for manipulation and hand-eye coordination, motion recognition and analysis, and visual navigation.
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Mitsunori
Ogihara
University of Miami
|
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Chris
Pal
Polytechnique Montréal
Image processing, computer vision.
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Charles
Parker
Kodak Research Laboratories
|
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Ted
Pawlicki
Undergraduate eduction, robotics, computer vision, artificial intelligence.
|
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Alex (Sandy)
Pentland
M.I.T.
|
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Rolando
Raqueño
Ph.D.
Digital Imaging and Remote Sensing, Synthetic Image Generation
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Len
Schubert
Center for Language Sciences
Language, knowledge representation, inference, and planning.
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Michael
Scott
Systems software for parallel and distributed computing, programming languages, operating systems, synchronization, transactional memory.
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Joel
Seiferas
Theoretical computer science, computational complexity, algorithms, automata.
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Kai
Shen
Operating systems, distributed systems, and parallel computing.
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Amit
Singhal
Kodak Research Laboratories
Computer vision, machine learning, image processing, image understanding
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Daniel
Štefankovič
Theoretical Computer Science: graph theory, combinatorics, Fourier transform, Markov chains/counting, learning theory, phylogeny, game theory, graph equations, routing.
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Mary
Swift
Natural language processing, linguistics.
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David
Temperley
Eastman School of Music
|
| Muthu Venkitasubramaniam |