Rutgers University Computer Science Department Haym Hirsh Rutgers University.

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Presentation transcript:

Rutgers University Computer Science Department Haym Hirsh Rutgers University

Chartered in 1766 as Queens College 1771: First classes held, instructor: Frederick Frelinghuysen, 18-year-old stepson of college president 1774: First graduation, 19-year-old Matthew Leydt 1793: Vote to merge with Princeton fails by one vote 1795: Closes; 1807: Reopens; 1812: Closes; 1825: Reopens 1873: 64 students Today: 50,000 students 3 campuses Largest US women’s college 8 th oldest university in US Over 100 departments

Computer Science Department 1954: First computer, numerical analysis taught 1958: “Information Processing” class 1963: Center for Information Processing formed 1964: All Engineering freshmen required to take “Basic Computer Programming” 1966: Computer Science Department formed, two faculty 1969: Saul Amarel hired from RCA labs, chair until 1984

Main Areas Artificial Intelligence, Computer Vision, and Graphics Theoretical Computer Science Computer Systems

Artificial Intelligence, Computer Vision, and Graphics Alex Borgida: Knowledge representation Doug DeCarlo: Non-photorealistic rendering; computer graphics Ahmed Elgammal: Human motion analysis Apostolos Gerasoulis: Search engines Haym Hirsh: Machine learning; information retrieval Tomasz Imielinski: Data mining Casimir Kulikowski: Medical informatics Michael Littman: Reinforcement learning; probabilistic planning David Madigan: Data mining Thorne McCarty: Knowledge representation Dimitris Metaxas: 3D deformable models Dinesh Pai: Sensorimotor computation; computer graphics Vladimir Pavlovic: Computer vision; probabilistic inference; bioinformatics Michael Pazzani: Machine learning; information retrieval Chung-chieh (Ken) Shan: Computational linguistics Louis Steinberg: AI and design Matthew Stone: Computational linguistics

Related Units Rutgers Center for Cognitive Science Center for Computational Biomedical Imaging and Modeling Statistics

Eric Allender: Complexity theory Martin Farach-Colton: Algorithms; bioinformatics Michael Fredman: Algorithms Apostolos Gerasoulis: Numerical methods Michael Grigoriadis: Optimization Bahman Kalantari: Optimization; root-finding; visualization Joseph Kilian: Cryptography S. Muthu Muthukrishnan: Algorithms Gerard Richter: Numerical Methods William Steiger: Computational geometry Mario Szegedy: Complexity theory; combinatorics; quantum computing Endre Szemeredi: Complexity theory; combinatorics Theoretical Computer Science

Related Units DIMACS Rutgers Center for Operations Research Mathematics

Ricardo Bianchini: Distributed computing; low power; Internet technology Alex Borgida: Software engineering; programning languages Liviu Iftode: Operating systems; distributed systems; self-healing systems; pervasive computing Tomasz Imielinski: Databases Daniel Jimenez: Computer architecture Uli Kremer: Compilers; low power; embedded systems Saul Levy: Computer architecture Richard Martin: Internet and distributed systems; sensor networks Naftaly Minsky: Security S. Muthu Muthukrishnan: Databases Badri Nath: Wireless networking; sensor networks Thu Nguyen: Internet and distributed systems; peer-to-peer networks Barbara Ryder: Programming languages Computer Systems

Related Units WINLAB Electrical and Computer Engineering