EAHPC'22 Workshop Organizing Committee

Mark Coletti, Chair

Oak Ridge National Laboratory, USA

Mark Coletti is a research scientist with the Oak Ridge National Laboratory (ORNL), and he received his Ph.D. in Computer Science from George Mason University in 2014. His main research focus is improving understanding of evolutionary algorithms within HPC contexts, particularly in petascale and exascale environments. His technical background includes evolutionary computation, machine learning, agent-based modeling, software engineering, image processing, and geoinformatics.

Catherine (Katie) Schuman

University of Tennessee, Knoxville, USA

Catherine (Katie) Schuman is an assistant professor at the University of Tennessee, Knoxville (UTK). She received her Ph.D. in Computer Science from the University of Tennessee in 2015, where she completed her dissertation on the use of evolutionary algorithms to train spiking neural networks for neuromorphic systems. She is continuing her study of models and algorithms for neuromorphic computing at ORNL. Katie has an adjunct faculty appointment with the Department of Electrical Engineering and Computer Science at the University of Tennessee, where she co-leads the TENNLab neuromorphic computing research group. Katie has over 50 publications as well as six patents in the field of neuromorphic computing. Katie received the U.S. Department of Energy Early Career Award in 2019.

Eric "Siggy" Scott

MITRE Corporation, USA

Eric Scott is a Senior Artificial Intelligence Engineer at MITRE Corporation in Northern Virginia and a PhD candidate at George Mason University. His research focuses on heuristic optimization algorithms, transfer learning, and their applications to modeling problems in a variety of fields. He holds a double B.Sc. in Computer Science and Mathematics from Andrews University in Berrien Springs, Michigan, and a M.Sc. in Computer Science from George Mason University.

Robert M. Patton

Oak Ridge National Laboratory, USA

Dr. Robert M. Patton is a computational analytics scientist at Oak Ridge National Laboratory. His research is focused on nature-inspired computational techniques for large‐scale data analytics. He is a member of IEEE’s CI Society and ACM’s SIGEVO.

Paul Wiegand

Winthrop University, USA

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. 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.

Jeffrey K. Bassett

Jeff Bassett is a research scientist and engineer in machine learning that received his PhD in computer science from George Mason University in 2011 under the direction of Dr. Kenneth De Jong. He has significant experience in robotics, agent-based simulations, and 3D graphics as well as developing software for HPC environments.

Chathika Gunaratne

Oak Ridge National Laboratory, USA

Chathika Gunaratne, is a postdoctoral research associate in the Computer Science and Mathematics Division at Oak Ridge National Laboratory. Chathika's research focuses on explainable artificial intelligence and data-driven modeling and simulation of complex social systems. Chathika’s work incorporates technical aspects from evolutionary algorithms, agent-based modeling, machine learning, network analysis, and high-performance computing. Chathika earned his Ph.D. in Modeling and Simulation from the University of Central Florida in 2019, holds a M.S. in Modeling and Simulation also from UCF, and a B.Sc. in Computer Science from the University of Colombo, Sri Lanka. Chathika’s previous appointments include positions at Massachusetts Institute of Technology Computer Science and Artificial Intelligence Lab (MIT CSAIL), NBC Universal Studios, and SimCentric Technologies.