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Презентация была опубликована 8 лет назад пользователемСвятослав Баташев
1 People and Researches
2 Искусственный интеллект Вычислительная биология Компьютерная архитектура и CБИС Компьютерная графика Сети Безопасность СУБД Математическое программирование Математический анализ Операционные системы Анализ производительности Разработка языков программирования Теоретические компьютерные науки Области исследований:
3 Computer Vision Group: Chuck Dyer, Shaohua Fan, Guodong Guo, Russell ManningChuck Dyer (Computer Vision) Robotics Lab: Vladimir Lumelsky, Nicola J. Ferrier (Assistant), Justin A. Borgstad, Jason Dykstra, Cecil Lozano, Chunmei Lu, Jeremiah J. Neubert, Luis A. Rodriguez, Ram Subramanian, John Zook (Robotics, Kinematics & Robotics Vision) Machine Learning and Data Mining: Mark Craven & Jeffrey Jackson (Machine Learing) Olvi Mangasarian & Glenn Fung (Data Mining & optimization) David Page (Data Mining & machine learning) Machine Learning Research Group: Jude Shavlik, Grace Wahba (Machine Learning) Группы людей, занимающихся разработками в области искусственного интеллекта:
4 В области теоретических компьютерных наук разработками занимаются: Eric Bach: 1) efficiently solving algebraic and number-theoretic problems 2) applying probability theory to the design and analysis of algorithms Deborah A. Joseph: 1) the study of structural properties of complexity classes 2) the design and analysis of algorithms for biological problems. Jin-Yi Cai: 1) computational complexity theory 2) global structures and relationships among complexity classes of LOGSPACE, P, NP
5 Разработки по теме вычислительной биологии и люди, занимающиеся ими Mark Craven: Machine Learning for Bioinformatics. What is it: 1. recognizing transcription control signals 2. assigning genes to operons 3. identifying expression relationships among genes Machine Learning for Information Extractio (developing automated methods that enable text sources to be better exploited for discovery and decision making in biomedical domains). Learning Comprehensible Models (extend the ability of various machine-learning algorithms to produce comprehensible models). Miron Livny:1)develop management and scheduling techniques that empower high throughput computing on 2)local and wide area clusters of distributively owned resources C. David Page: Data mining and machine learning, with applications to bioinformatics, chemoinformatics,and health sciences. George N. Phillips: Structure and dynamics of proteins, computational biology Jude W. Shavlik:Machine learning and datamining applied to biomedical tasks such as microarray ("gene chip") analysis and design, protein-structure determination, and information extraction from on-line biomedical text. Carolyn Allex (graduated July 1999) Mark Craven (graduated September 1996) Frank DiMaio Tina Eliassi-Rad (graduated August 2001) Eric Gutstein (graduated June 1993) Richard Maclin (graduated August 1995) Michael Molla Louis Oliphant David Opitz (graduated August 1995) Yue Pan Mark Rich Geoffrey Towell (graduated October 1991)
6 Компьютерная архитектура и CБИС, и кто этим занимается: James R. Goodman:High-performance computer architecture,memory systems,shared-memory multiprocessing,computers of the future Mark D. Hill:Computer architecture,parallel computing,memory systems,and performance evaluation Mikko H. Lipasti: Compiler optimization,runtime and operating systems,and the interaction of both with computer architecture. James E. Smith: Computer architecture, high performance processor and system implementations,instruction level distributed processing, co-designed Virtual Machines, trace processors, power efficient processors Gurindar S. Sohi: Computer architecture, parallel computing, memory systems and performance evaluation David A. Wood:
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