Media and Public Relations

Where Innovation Is Tradition

Media Sources Guide

CATEGORY: Information Technology and EngineeringClear

SUB-CATEGORY: Computer ScienceClear

Kenneth De Jong

Professor of Computer Science

Expertise: Genetic algorithms, Evolutionary computation, Machine learning, Artificial intelligence, Complex adaptive systems

De Jong came to Mason in 1984. He is head of the Evolutionary Computation Laboratory and associate director of the Krasnow Institute. His research interests include genetic algorithms, evolutionary computation, machine learning, and adaptive systems. He also is interested in experience-based learning in which systems must improve their performance while actually performing the desired tasks in environments not directly in their control or the control of a benevolent teacher. Support for these projects is provided by the Defense Advanced Research Projects Agency, the Office of Naval Research, and the Naval Research Laboratory. A member of the evolutionary computation research community, De Jong has been involved in organizing many of the workshops and conferences in this area. He is the founding editor in chief of the journal Evolutionary Computation and a member of the board of the Association for Computing Machinery Special Interest Group for Genetic and Evolutionary Computation.

Photo of Expert

Zoran Duric

Associate Professor of Computer Science

Expertise: Computer vision, Video image processing, Human-computer interaction, Information hiding

The central theme of Duric's computer vision research is understanding the motions of humans and of vehicles driven by humans. Application areas for this research include smart rooms, video surveillance and monitoring, human-computer interaction, secure driving/ intelligent highways, and video coding.

In his work he has been applying techniques from such domains as theoretical kinematics and dance notation to analyze physical and geometrical constraints on the motions of humans and vehicles. This research will result in methods that significantly improve on currently available techniques for computing human-generated motions of objects.

In his previous work he developed the Frenet-Serret and Darboux motion models to describe physically possible motions of tools and vehicles. In his current workhe is extending this research to understanding human motions. In particular Duric is investigating how dance notation can be used to describe human motions in such domains as gestures and sports.

In the domain of human motion understanding Duric is interested in gestures and simple activities performed by small numbers of humans. In the gesture domain a single human is viewed by one or more cameras. The human uses upper body gestures such as posture, head pose (nods, etc.), shoulder movements (shrugs, etc.), hand and arm movements, palm facings, finger pointings, and so on to convey a message. In the domain of "general'' human motions and sports Duric is interested in simple movements that are performed in an approximately upright position, such as walking, running, etc.

Media Contact: Preston Williams, 703-993-9376,

Dmitri Klimov

Associate Professor, Department of Bioinformatics and Computational Biology

Web Site

Expertise: Computer Simulations of Molecular Aspects of Alzheimer’s Disease

Dmitri Klimov uses computer simulations to study Alzheimer’s disease. His research focuses on the formation of starchlike protein assemblies that accumulate in body tissues called amyloid fibrils and their role in the development of Alzheimer’s disease. He is also interested in the use of non-steroidal anti-inflammatory drugs, such as ibuprofen, in the treatment of Alzheimer’s disease. He has published more than 57 papers and recently received a half-million dollar grant from the National Institutes of Health in support of his research. Prior to joining Mason, Klimov worked as an assistant research scientist at the Institute for Physical Science and Technology at the University of Maryland at College Park.

Media Contact: Michele McDonald, 703-993-8781,

Robert Quinn

Instructor, Applied Information Technology

Web Site

Expertise: business, Information technology, computer science

Robert T. Quinn is an Instructor in the Applied Information Technology Department in George Mason University's Volgenau School of Engineering.

A former U.S. Army Captain, Professor Quinn is the Founding Director of the master of science in Applied Information Technology program; Deputy Director, Intelligence Community Programs; and Instructor in the Senior Capstone Program for GMU’s Volgenau School of Engineering. He guides academic program development, oversees adjunct faculty and graduate student recruitment, and coordinates relationship management for the Program’s customers.

Professor Quinn is currently CEO of Gateway Management Group, Inc., an organization strategy firm. Before joining Mason, he was Vice President, Financial Services – North America Practice for Gemini Consulting. He was Senior Vice President of Drake Beam Morin, Inc., then the world’s largest career management firm, as well as General Manager-Philadelphia Region. He developed the business strategy for DBM’s Senior Executive Transition Program and coached top executive clients. He also served as Vice President for Business Development at Warner Amex, as Manager of Corporate Strategy for W.R. Grace, and as Head of Citicorp’s Brokerage Industry Banking Department.

Professor Quinn earned his MBA and BA in English Literature from Fordham University.

Media Contact: Buzz McClain, (703) 993-8782,

Photo of Expert

Charles Snow

Associate Professor, Associate Chair for Graduate Studies

Web Site

Expertise: Computer science in education and medicine

Charles Snow, Ph.D. is an Associate Professor of Applied Information Technology and the Associate Chair for Graduate Studies in the Department of Applied Information Technology, Volgeneau School of Engineering. He joined George Mason University in 2002 as an adjunct professor. His research interests include pervasive computing, particularly in education and medical areas, applications of ICT to teaching in the developing world and operating systems.

Dr. Snow earned his PhD in Computer Science from McGill University, Montreal, Canada.


Media Contact: Preston Williams, 703-993-9376,

Photo of Expert

Gheorghe Tecuci

Professor of Computer Science; Director of the Learning Agents Center

Expertise: Artificial intelligence, Machine learning, Knowledge engineering, Knowledge acquisition and problem solving

Tecuci's research is focused on creating a theory for the development of knowledge-based agents by typical users who do not have knowledge engineering experience. The envisioned theory will allow these typical users to develop intelligent assistants that incorporate their problem solving expertise, and will thus contribute to a new revolution in the use of computers (where typical users will no longer be just users of programs developed by others, but agent developers themselves).

As part of this long-term research effort,  Tecuci has originated or contributed to several important concepts in intelligent agents, machine learning and knowledge acquisition, including: multistrategy learning, learning agent shell, plausible explanations, plausible version spaces, plausible justification trees, understanding-based knowledge extension, consistency-driven knowledge elicitation, integrated teaching and learning, and mixed-initiative reasoning. These contributions have led to the “Disciple” agent development approach where a subject matter expert teaches a Disciple learning agent to become a knowledge-based assistant, in a way that is similar to how the expert would teach a human apprentice, through specific problem solving examples and explanations, and by supervising and correcting agent’s problem solving behavior.


Media Contact: Preston Williams, 703-993-9376,

Photo of Expert

Harry Wechsler

Professor of Computer Science

Expertise: Facial recognition, Machine learning/intelligence, Intelligent decision making systems

Wechsler received the PhD degree in computer science from the University of California, Irvine, in 1975. Currently, he is a Professor of computer science and Director for the Center of Distributed and Intelligent Computation at George Mason University.

His research in the field of intelligent systems focuses on computational vision, image and signal processing, data mining, machine learning and pattern recognition, with applications for ATR, biometrics/face recognition, intelligent HCI, performance evaluation, temporal data mining, and video processing and surveillance. He has published more than 200 scientific papers, serves on the editorial board for major scientific publications  and is the author of Computational Vision and Reliable Face Recognition Methods, which breaks new ground in biometrics and applied modern pattern recognition.

Wechsler also directed the development of FERET, which has become the standard facial data base for benchmark studies and experimentation.

Media Contact: Preston Williams, 703-993-9376,