CBA Faculty Profile - Wiegand, Paul

CBA Faculty Profile - Wiegand, Paul

Name: Paul Wiegand

Title: Assistant Professor of Computer Science

Education: Ph.D., George Mason University (Computer Science), 2004
M.S., University of North Carolina-Charlotte (Computer Science), 1999
B.S., Winthrop University (Computer Science), 1996

Office: 310 Thurmond Building

Phone: 803/323-4824


Area(s): Machine Learning, Optimization, Natural Computation, Multiagent Systems, and Probabilistic Reasoning 

Paul Wiegand is an Assistant Professor in the Department of Computer Science & Quantitative Methods (Fall 2020).  Before this, he served on the faculty at the School of Modeling, Simulation, & Training at the University of Central Florida (UCF) for over a decade, and held a postdoctoral position at the Navy Center for Applied Research in Artificial Intelligence before that.  While at UCF, he taught in, and ran, their Modeling & Simulation graduate programs, as well as served as the director for the UCF Advanced Research Computing Center.

Paul loves teaching, and is excited about shifting his focus from graduate student research to undergraduate education.  His main pedagogical focus is to try to help students understand the context of the materials they are learning and to try to find ways for all (students and teachers) to engage more in the material.  His research has mainly centered on methods of natural computation, theory of coadaptive and coevolutionary computation, as well as application of coadaptive methods for multiagent learning and probabilistic reasoning.  Paul also has a strong interest in basic foundations of computer science, as well as distributed and parallel high performance and high throughput computing.

Last updated by rayj 08/17/2020

Last Updated: 10/9/20