Faculty and Staff

CORE FACULTY
Sergio Alvarez

Sergio Alvarez  |  home
Associate Professor; B.S., Universidad Javeriana; M.S., Universidad de Los Andes; Ph.D., University of Maryland.

Sergio Alvarez's  current research is in the areas of data mining and machine learning, particularly as applied to the analysis of clinical medical data. He is also interested in foundational issues related to performance analysis of data mining and machine learning systems.

 

William Ames

William Ames  |  home
Senior Lecturer; M.S., University of Michigan.

William Ames teaches a wide variety of courses, with a particular interest in Computer Graphics and Computer Architecture.  He participates in the design of hardware and software to support a number of research projects, including the EagleEyes project, which allows severely disabled people to control a computer by moving their eyes.

 

Hao Jiang

Hao Jiang |  home
Assistant Professor; Ph.D., Simon Fraser University.

Hao Jiang's research focus is computer vision. His interests include object recognition, matching, 3D shape reconstruction, tracking and action recognition. He has been studying efficient schemes to tackle these problems based on relaxation methods, graph methods, PDE methods and machine learning schemes. He is also interested in multimedia information processing, integration and large scale realtime media systems.

 

 

Katherine Lowrie
Katherine Lowrie | home

Adjunct Associate Professor; B.S., M.S., Ph.D., Purdue University.

Katherine Lowrie is the Undergraduate Program Director for the Computer Science Department.  She teaches a variety of courses, with a particular interest in  Computer Organization and Computer Architecture.

 

David Martin

David Martin  |  home
Assistant Professor; B.S., Princeton University; M.S, Ph.D., University of California at Berkeley.

David Martin's research is in image processing and machine vision. He is  interested in the fundamental problem of how we parse an image into a coherent and accurate perception of surfaces in three dimensions. To this end, he studies the low-level image features that provide the information to get started, as well as the higher level algorithms that stitch these features into visible surfaces, perceive shape, reason about occlusion, and perform amodal completion (seeing things behind other things).

 

Robert Muller

Robert Muller  |  home
Associate Professor; A.B., M.S., Indiana University; Ph.D., Boston University.

Robert Muller is primarily interested in the design and implementation of reliable programming languages. A programming language can be understood to be reliable if the software consumer can be confident that their software artifacts behave as predicted by the software providers. He is interested in the application of formal methods in this setting and in the application of type systems in particular. Related issues include computational logics, proof systems and automated theorem proving.

 

Amitabha Roy

Amitabha Roy  |  home
Assistant Professor; B.Tech, Indian Institute of Technology; M.S., Ph.D., University of Oregon.

Amitabha Roy's primary research interest is in theoretical computer science and artificial intelligence. In theoretical computer science, his research is in the area of circuit complexity, where he has published a number of papers that explore connections to analytical number theory and logic. His research in artificial intelligence is centered on applying techniques from computational algebra to search and optimization problems, specifically in using symmetry to reduce the complexity of search.

 

Edward Sciore

Edward Sciore  |  home
Associate Professor; B.S., Yale University; M.S.E., Ph.D., Princeton University.

Edward Sciore's  research interests lie primarily in the field of database systems, especially database design, web-based data access, metadata, and the meaningful communication of data between disparate sources.  He is also interested in object-oriented design methodologies, in particular how applications interace with database systems and other middleware.

 

Robert Signorile
Robert Signorile  |  home
Associate Professor; B.S., Queens College; M.S., New York University; M.S., Ph.D., Polytechnic University.

Robert Signorile's interests are in distributed systems, networks, agents and simulation. He is currently pursuing work that attempts to merge artificial intelligence techniques  (such as learning and planning methodologies and distributed agents) with formal simulation. Another area of research is in applied distributed computing with special interest in multi-agent based simulation and agent based modeling for social simulation. He plans to begin work with  distributed sensor networks, perhaps with some simple robots as the experimental platform.

 

Howard Straubing

Howard Straubing  |  home
Professor and Chairperson; A.B., University of Michigan; Ph.D., University of California at Berkeley.

Howard Straubing's research is in the theory of computation, particularly the connections among logic, automata and computational complexity.  His current research projects involve algebraic and model-theoretic approaches to circuit complexity and to automata operating on unranked trees.


Gang Tan

 Gang Tan |  home
Assistant Professor; B.S., Tsinghua University; Ph.D., Princeton University.

Gang Tan is interested in the area of creating secure and reliable software systems, mainly through programming-language and software-engineering techniques. His current research project addresses safety and reliability issues in multilingual software systems, which consist of components developed in different programming languages.

 

Stella X. Yu

Stella X. Yu |  home
Clare Boothe Luce Assistant Professor; B.S., Xi'an Jiaotong  University;  M.S., Tsinghua University;  Ph.D., Carnegie Mellon  University.

Stella Yu is interested in studying art and vision together in order to find new solutions to fundamental problems in computer vision. Her work relies on understanding both the peculiarity of human vision and the universality of computational constraints in order to advance computer vision research in areas including image and video compression, brightness and color perception, and inferring scene layout from a single image.

 

Related Faculty, Postdoctoral, Staff

Craig Brown

Craig Brown |  home
Part-time Lecturer; B.S. University of Pittsburgh, M.S. Colorado State University

 

Peter Clote
Peter Clote  |  home
Professor (joint appointment with Biology); B.Sc., Massachusetts Institue of Technology; M.A., Ph.D., Duke University; These d'Etat, University of Paris

 

Jane Costello
Jane Costello,   |  home
Administrative Assistant

 

James Gips
James Gips  |  home
John R. and Pamela Egan Professor of Computer Science; S.B., Massachusetts Institute of Technology; M.S., Ph.D., Stanford University
 

 

William Griffith
William Griffith
Visiting Lecturer; Ph.D., Boston College; Ph.D., University of Massachusetts Amherst

 

Peter Oliveri
Peter Olivieri  | home
Associate Professor; B.S.B.A., M.B.A., Boston College; Ph.D., Columbia University

 

Christina Pavlopoulou
Christina Pavlopoulou 
Postdoctoral Fellow; B.S., University of Athens, Greece; M.S., Ph.D., Purdue University

 

Phil Temples

 Phil Temples |  home
Systems Administrator; B.S., Purdue University