Computer Science

Faculty

Ethan Bolker, PhD, Harvard University

Performance Measurement and Modeling

William R. Campbell, PhD, University of St Andrews

Object-Oriented Software Engineering
Programming Language Design and Implementation

Wei Ding, PhD, University of Houston

Data Mining
Artificial Intelligence
Machine Learning
Knowledge Discovery

Richard H. Eckhouse, PhD, State University of New York at Buffalo, Professor Emeritus

Peter Fejer, PhD, University of Chicago

Theoretical Computer Science
Mathematical Logic

Nurit Haspel, PhD, Tel Aviv University

Bioinformatics

Robert A. Morris, PhD, Cornell University

Biodiversity Informatics

Elizabeth J. O’Neil, PhD, Harvard University

Database Engines
Database Isolation Levels

Patrick O’Neil, PhD, Rockefeller University

Access Methods in Database Systems
Concurrency Control
Query Performance in Database Systems

Carl Offner, Industrial Professor, PhD, Harvard University

Compilers

Gregory Piatetsky-Shapiro, PhD, New York University

Data Mining

Marc Pomplun, PhD, University of Bielefeld

Human Vision
Computer Vision
Human-Computer Interaction

Bo Sheng, PhD, William and Mary College

Computer Networks

Dan A. Simovici, PhD, University of Bucharest

Data Mining
Database Theory
Computational Biology
Multiple-Valued Logic

Jun Suzuki, PhD, Keio University

Software Engineering
Biologically Inspired Computing
Computer Networks

Richard L. Tenney, Professor Emeritus, PhD, Cornell University

Duc A. Tran, PhD, University of Central Florida

Networking
Distributed Systems
Multimedia Systems

The Programs

The Department of Computer Science offers programs of graduate study leading to the PhD and the MS in computer science and a graduate certificate in database technology. Faculty interests in computer science include compilers, computability theory, computer communication protocols, database systems, formal languages, office automation systems and electronic publishing, operating systems, programming languages, queuing theory, semantics, and software engineering.

The computer laboratory of the department operates a network of SUN workstations using the UNIX operating system, as well as several other kinds of computing equipment. The department is also a member of the Internet. All graduate courses are scheduled in late afternoon and evening. The program is open to full-time and part-time students as well as those who want to strengthen specific skills by taking single courses.