The Computational Biology Interest group (aka CBIG) is a forum for exchanging ideas and initiating collaborations between groups, in particular experimental and computational seminars, events and news related to computational biology. Students at all levels, as well as postodocs and faculty members can subscribe to the e-mail list cbig@lists.umbc.edu .

BIOLOGICAL SCIENCES DEPARTMENT

Bustos, Mauricio
We conduct research on the development of hierarchies within multi-agent system communities, and stochastic modeling of network phenomena

Erill, Ivan
Application of soft-computing paradigms to open questions in genomics, focusing primarily on regulation. Research into DNA-binding site identification.

Freeland, Stephen
My group is exclusively computational (we do no bench experiments) and ranges from chemoinformatics, through custom simulations to development of new web based tools and databases .

Kann, Maricel
Computational approaches for the detection of protein domains and protein interactions, and bioinformatics methodologies to understand the molecular basis of diseases.

Omland, Kevin
Computational challenges related to lineage sorting, hybridization & phylogenetic trees of recent species. We use molecular phylogenies and coalescent methods to study newly diverged bird species.

COMPUTER SCIENCE DEPARTMENT

desJardins, Marie
Ph.D., University of California, Berkeley, 1992. Artificial intelligence; machine learning; planning; multi-agent systems; interactive AI. (Marie has worked with Steve Freeland and is co-pi on an NSF grant with him)

Finin, Tim
Ph.D., Illinois Urbana-Champaign, 1980. Artificial intelligence; knowledge representation and reasoning; knowledge and database systems.

Grasso, Michael
Ph.D., UMBC, 1997. Medical informatics, bioinformatics, software engineering, human-computer interactions.

Halem, Milton
Ph.D. Ney York University, 1968. High performance computing and communication, large-scale simulations, climate and environmental modeling.

Joshi, Anupam
Ph.D., Purdue University, 1993. Distributed/networked and mobile computing; data/web mining; multimedia databases.

Kalpakis, Kostantinos
Ph.D., University of Maryland Graduate School, Baltimore, 1994. Digital libraries; electronic commerce; databases; multimedia; parallel and distributed computing.

Kargupta, Hillol
Ph.D., University of Illinois at Urbana-Champaign, 1996. Distributed and mobile data mining; computation in gene expression; genetic algorithms.

Oates, Tim
Ph.D., University of Massachusetts. Artificial intelligence; machine learning; robotics; natural language processing.

Parr, Cynthia
Ph.D., University of Michigan, 1997. Biodiversity, visualization, semantic web. Cyndy is research faculty in our department and also at UMCP. Worked on the NSF semantic web for ecoinformatics program.

Peng, Yun
Ph.D., University of Maryland, College Park, 1985. Artificial intelligence; neural networks; medical applications; artificial life.

Rheingans, Penny
Ph.D., University of North Carolina, Chapel Hill, 1993. Interactive computer graphics; scientific, medical and information visualization.

INFORMATION SYSTEMS DEPARTMENT

Koru, Gunes

Dr. Koru's research interests are in the areas of software quality, software measurement, software evolution, open-source software, bioinformatics, and healthcare informatics. He studies real-life and large-scale software development efforts and obtain practical results that can significantly support software managers and practitioners in their decision making.

Seaman, Carolyn
Dr. Seaman is interested in studying the processes, practices, and interactions involved in the development of software in different contexts. In particular, she has studied the use of documentation vs. other sources of information in the maintenance of software, the role of organizational relationships in the efficiency of technical communication, and resistance of software developers to being measured and monitored.

Janeja, Vandana
Dr.Vandana Janeja received her Ph.D. and M.B.A in Information technology from Rutgers Business School , Rutgers University in 2007, M.S in Computer Science from the New Jersey Institute of Technology (NJIT) in 2001 and M.S. in Computer Management from Devi Ahilya Vishwa Vidhyalaya, India in 1999. She is currently an Assistant Professor at the Information Systems department at University of Maryland, Baltimore County (UMBC), USA. She also worked as a Research Associate at CIMIC, Rutgers University. Her general area of research is Data Mining with a focus on anomaly detection in traditional and spatial data. She has published in various refereed conferences such as IEEE International Conference on Data Mining, National Conference on Digital Government Research, IEEE Intelligence and Security Informatics to name a few. She has served in the program committees of various international conferences, and has also been a reviewer for the leading academic journals and conferences in her field.

MATH DEPARTMENT

Bell, Johnathan
Ph.D., UCLA, 1977. Development, and analysis, of mathematical models for describing electrical behavior in nerve cells.

Gobbert, Mathias
Ph.D., Arizona State University, 1996. Dr. Gobbert is an Associate Professor in the Department of Mathematics and Statistics at UMBC. His research includes the use of computer and numerical simulations of physical and chemical processes.

Hoffman, Kathleen
Ph.D., University of Maryland at College Park, 1997. Stability theory for constrained calculus of variations problems and bifurcation theory for multiple timescale systems.

Neerchal, Nagaraj
PhD 1986, Iowa State . Time Series Analysis, Analysis of Correlated Categorical Data, Environmental Statistics, General Methodology, Data Mining and Analysis.

Peercy, Brad
Ph.D., University of Utah , 2003. In general his interest is in modeling biophysical phenomena using differential equations and analyzing them with numerical, bifurcation, and perturbation techniques.

Potra, Florian
Ph.D., University of Bucharest , 1983. Numerical optimization, simulation of multibody systems, numerical solution of nonlinear differential and integral equations, bioinformatics.

Roy, Anindya
Interests include: Time Series, Nonparametric Bayesian, Proteomics, Sequential Design and Functional MRI.