CIS Research Areas
David T. K. Chen
Degree: PhD, Erlangen-Nuremberg (Germany)
Research Area(s): Database systems, object-oriented design, software engineering (software reuse), software reliability, quality and security.
Degree: PhD, Applied Mathematics and Computational Sciences, University of Iowa, 2004
Research Area(s): Bioinformatics, Computational Biology, Systems Biology, Data Mining, Machine Learning, Statistical Learning, High-performance Computing and Financial Engineering
Clavius Distinguished Professor of Science and Professor of Computer and Information Science
Degree: PhD, University of Michigan
Research Area(s): Interconnection networks for massively parallel computer systems, communication networks and VLSI designs, parallel algorithms and architectures, telecommunication network design and optimization, graph theory and combinatorial problems.
Degree: PhD, Carnegie Mellon University
Research Area(s): Computational principles of perception, statistical analysis of brain data, computer vision, machine learning
Degree: PhD, Wright State University
Research Area(s): My research interests include Text Mining, Data Mining and Knowledge Discovery, Ontology, Information Retrieval, Bioinformatics Analysis, Parallel and Distributed Computing.
Degree: PhD, University of Massachusetts
Research Area(s): Target tracking and behavior recognition in Automated Video Surveillance and in Camera-based User Interfaces. Computer vision for Virtual and Augmented Reality Interfaces. Formal analysis of behavior for robotic systems operating in unstructured environments. Integration of planning and reaction in robotic systems.
Robert K. Moniot
Degree: PhD (Physics), University of California, Berkeley; MS (Computer Science), New York University
Research Area(s): Accelerator-based mass spectrometry of radioisotopes, applied to archeology, geophysics and meteoritics. Scale-space and equation-error minimization approaches to problems in image reconstruction and solution of partial differential equations. Analysis of computer ethics issues.
Degree: PhD, Stevens Institute of Technology
Research Area(s): Design and Analysis of Algorithms, Computational Complexity, Complexity of Algorithms, Theory of Computation.
David S. L. Wei
Degree: PhD, University of Pennsylvania
Research Area(s): Parallel and Distributed Computing, Mobile Computing, and Networking.
Gary M. Weiss
Associate Professor and Director of the MS Program in Computer Science
Degree: PhD, Rutgers University
Research Area(s): My primary research focus are in the area of machine learning and data mining. More generally, I am interested in all areas of artificial intelligence. Currently I am working on methods for improving data mining methods by better handling real-world considerations (e.g., highly skewed class distributions). In the past I have done research on expert systems and object-oriented programming.
Arthur G. Werschulz
Degree: PhD, Carnegie-Mellon University
Research Area(s): My research area is information-based complexity, which deals with the complexity of problems for which the available information is partial, possibly contaminated by error, and priced. I am especially interested in the complexity of partial differential equations and integral equations.
Degree: PhD, University of Massachusetts, 2007
Research Area(s): My primary research focus is in the area of computer networks and distributed systems. In particular, I am interested in studying challenged networks such as Disruption Tolerant Networks from the aspects of performance modeling of epidemic style routing, and modeling studies of real mobility traces.