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Computer Science, Department of
27 matches found.
 | Michael Black
Computer Science, Department of
Michael Black's research addresses estimation and understanding of human movement. His group has been developing computational and mathematical models of movement that can be recovered from video sequences using new computer vision algorithms. At the core of this work are probabilistic models of the visual world that are learned from natural scenes. Furthermore, his group exploits these models of human movement in the design of neural motor prosetheses. In particular they model the relationship between neural firing activity of populations of motor cortical neurons and complex natural movement. The goal is to enable paralyzed patients to control dexterous robot hands using neural signals recorded with an implanted electrode array. |  | Ugur Cetintemel
Computer Science, Department of
In order to meet the performance, availability, and scalability requirements of emergent computing environments and applications, data and services will continue to become increasingly distributed and decentralized. This trend requires a critical rethinking of many issues that arise in the design and implementation of the underlying next-generation computing infrastructures. Ugur Cetintemel's research explores data and resource management issues in advanced distributed systems such as mobile databases, peer-to-peer systems, and sensor networks. More specifically, he is interested in Internet-scale data replication, caching, and dissemination, adaptive resource management, load balancing, and system security.
|  | Eugene Charniak
Computer Science, Department of
Eugene Charniak is interested in programming computers to understand language so that they will be able to perform such tasks as answering questions and holding a conversation. Prof. Charniak and his students write programs that collect statistical information about language from large amounts of text then apply the statistics to new examples.
Other recent work uses statistics that relate the probability of a particular referent based upon a variety of factors: how far back it is in the text, the typical gender of the antecedent phrase, etc. His motivation is primarily theoretical, but there are also many applications for this research, including automatic language translation, computer telephone operators, and web search engines that answer questions.
|  | Thomas Dean
Computer Science, Department of
Thomas Dean's general research interests include automated temporal and spatial reasoning, planning, robotics, learning, and probabilistic inference. He is particularly interested in problems in which the notions of uncertainty and risk are complicated by the imposition of a limited time for deliberation and action. The basic tools for his research are derived from probability, statistics, Bayesian decision theory, and the design and analysis of algorithms. The applications involve mobile robots that perform such tasks as search and rescue, as well as disembodied "knowbots" that operate on the World Wide Web.
|  | Thomas Doeppner
Computer Science, Department of
Thomas Doeppner is interested in operating systems and everything related to them. He wrote one of the first threads packages for Unix and has worked on tools for measuring and analyzing performance of concurrent programs. More recently, he has worked with wireless devices and mobile computers, building an infrastructure for sharing information in settings such as lectures, seminars, and face-to-face meetings.
He is currently interested in the area of operating system support for security.
| | | Amy Greenwald
Computer Science, Department of
Amy Greenwald's research focuses on the design and implementation of AI agents—artificially intelligent, programmed decision-makers—that interact effectively in multiagent environments. Concurrently, she attempts to understand, explain, and accurately predict the dynamics of such interactions. In pursuing these goals, Prof. Greenwald draws from theoretical and practical sources, including a variety of disciplines such as AI, decision theory, game theory, and economics. | | | Maurice Herlihy
Computer Science, Department of
Maurice Herlihy's research interests focus on distributed computing, particularly multiprocessor synchronization and fault-tolerance.
| | | John Hughes
Computer Science, Department of
John Hughes is interested in computer graphics, especially those aspects in which mathematics is critical. He is particularly interested in the modeling of shape and form at multiple scales, in human-computer interaction, and in art-based graphics. Prof. Hughes is also interested in the sketching component of animation—providing direct interfaces for the control of a wide range of animations, from two-dimensional (2D) presentation graphics to three-dimensional (3D) character animation.
|  | Sorin Istrail
Computer Science, Department of
Professor Sorin Istrail's research focuses on computational molecular biology, medical and pharma informatics, statistical physics, combinatorial algorithms, and computational complexity. His main projects are Genomic Regulation and Gene Regulatory Networks, Computational Methods for SNPs, Haplotypes and Disease Associations, Medical Bioinformatics, Programming Languages for Genomics, Protein Folding Algorithms and Simulation, and continuing John von Neumann's Research Program on Biological Systems. | | | John Jannotti
Computer Science, Department of
John Jannotti is interested in how overlay networks and peer-to-peer systems ease the deployment of fundamental changes to Internet protocols by allowing innovation without consensus and the construction of virtual networks built among cooperating computers. He is also interested in the challenges of efficiency, fairness, and scalability, which temper the freedom to innovate in this context.
Besides widely distributed systems, Prof. Jannotti's interests include wireless protocols, operating system flexibility, and sensor networks.
|  | Chad Jenkins
Computer Science, Department of
Chad Jenkins is primarily interested in the development of methods for autonomous control and perception through leveraging human performance from the real world. His work furthers the idea that robot control and computational perception are better learned from human demonstration rather than explicit computer programming.
Prof. Jenkins' work strives to address issues of capturing data from the world that is representative of human performance, using machine learning and data analysis to extract structure from performance data, and utilizing structures learned from performance for building autonomous robot controllers and perception mechanisms. |  | Philip Klein
Computer Science, Department of
Philip Klein is interested in the design of algorithms and algorithmic techniques, especially algorithms for combinatorial optimization (finding the best solution among a vast but finite set) and for analyzing networks (graphs). | | | Shriram Krishnamurthi
Computer Science, Department of
Shriram Krishnamurthi is a computer scientist who builds software applications. Some of his applications have been highly influential, with users ranging from labs hunting gene loci to high schools introducing computer science to students.
He is also deeply involved in improving introductory computing curricula at the high school and university levels, working on the PLT Scheme programming system and TeachScheme! computing curriculum, which aim to provide educators with alternatives to the current pedagogy. |  | David Laidlaw
Computer Science, Department of
David Laidlaw is interested in visualization and modeling applications of computer graphics and computer science to other scientific disciplines. He is working with researchers in, for example, archaeology, developmental neurobiology, medical imaging, orthopaedics, art, cognitive science, remote sensing, and fluid mechanics to develop new computational applications and to understand their strengths and weaknesses. |  | Anna Lysyanskaya
Computer Science, Department of
Anna Lysyanskaya's primary research area is cryptography, the study of protecting communication and computation against malicious users. The fundamental problems in this area are secure communication, authentication of data, pseudorandomness, and secure multi-party computation.
Prof. Lysyanskaya is interested in such issues as efficient and provably secure cryptographic protocols, minimal complexity assumptions for achieving security in various settings, and secure distributed computation. | | | Claire Mathieu
Computer Science, Department of
Claire Mathieu is primarily interested in the design and analysis of algorithms. She has also done work relating to average-case analysis of algorithms, computing with errors, models for DNA computing, analysis of statistical physics models, Monte Carlo Markov chains, computational geometry and online algorithms. Currently, her focus is on approximation algorithms for combinatorial optimization problems such as scheduling, packing, and clustering, with particular focus on approximation schemes. | | | Franco Preparata
Computer Science, Department of
For the past three decades the focus of Franco Preparata's research has been the design and analysis of algorithms in their most general connotation. With the remarkable evolution of computer technology, his research interests have also been evolving. He has been deeply interested in fundamental algorithms and data structures, VLSI computation and layout, and parallel algorithms.
He is also currently interested in computational biology (also called 'bioalgorithmics'), an emerging discipline that entails the development and use of mathematical and computer science techniques to solve problems in molecular biology. | | | Benjamin Raphael
Computer Science, Department of
My research focuses on the development and application of computational and mathematical methods for analyzing biological systems. Particular areas of interest include computational problems arising in comparative and regulatory genomics, cancer genomics, evolution, and genetics. |  | Steve Reiss
Computer Science, Department of
Steve Reiss' research focuses on making programming easier. He is particularly interested in software tools and environments. He has developed a series of powerful programming environments including PECAN, GARDEN, FIELD, DESERT and, most recently, CLIME.
Prof. Reiss has a long history of work in software visualization. His current work, VELD, builds on previous systems including the visualizations in the his programming environments, BLOOM, JIVE, and JOVE, to provide user-definable visualizations aimed at understanding specific problems involving the dynamic behavior of real programs. |  | John Savage
Computer Science, Department of
A recurring theme in Prof. Savage's work is the development of fundamental limits on computation, a theme that emerged in the study of the complexity of decoders for error correcting codes. His interests also include the design and analysis of algorithms, which has been expressed in several areas including serial and parallel computer aided design, and distributed computing for scientific computation. His current research focus is computational nanotechnology and coded computation. |  | Meinolf Sellmann
Computer Science, Department of
At the frontier of operations research, algorithms, and constraint programming, Meinolf Sellmann's research focuses on hard combinatorial feasibility and optimization problems as they arise in the context of real-world applications such as airline crew scheduling, automatic recording, and capacitated network design. He is especially interested in the integration of methods from mathematical programming, approximation theory, and constraint propagation, which has proven very successful in boosting the solution efficiency for discrete feasibility and optimization problems. | | | Erik Sudderth
Computer Science, Department of
|  | Roberto Tamassia
Computer Science, Department of
Research interests include information security, applied cryptography, design and analysis of algorithms, graph drawing, computational geometry, and computer science education. |  | Eli Upfal
Computer Science, Department of
Eli Upfal's general research area is theory of computation—trying to apply rigorous mathematical tools to the design and analysis of computer algorithms. He is particularly interested in applications of probability theory and combinatorics to this area.
Recent work includes: Developing probabilistic techniques for studying the long-term behavior of dynamic computer processes such as communication, load balancing, cashing, and paging; a novel combinatorial design improving the design of sequencing by hybridization (SBH) microchips; and stochastic analysis of commodity trading strategies. |  | Pascal Van Hentenryck
Computer Science, Department of
Pascal Van Hentenryck's primary research area is the design and implementation of languages and tools to solve difficult combinatorial optimization problems. The purpose of Prof. Van Hentenryck's research is to provide tools and algorithms that significantly reduce the development time and ease the maintenance of these applications.
In recent years, Prof. Van Hentenryck also became interested in online stochastic optimization problems that arise in networking, manufacturing, transportation, and reservation systems. This research is multi-disciplinary in nature and combines insight from stochastic programming, online algorithms, combinatorial optimization, and machine learning. | | | Stan Zdonik
Computer Science, Department of
Stan Zdonik's research interests include database systems, object-oriented databases, query processing, data dissemination, mobile computing and e-commerce. |  | Andy van Dam
Computer Science, Department of
Andy van Dam's research has concerned computer graphics, hypermedia systems, post-WIMP user interfaces, including pen-centric computing, and educational software. He has been working for nearly four decades on systems for creating and reading electronic books with interactive illustrations for use in teaching and research. |
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