Ramin is a Ph.D. candidate in Structural engineering with two Master of Science degrees in Statistics and Structural Engineering. His focus of research is uncertainty quantification in engineering problems and model updating.
Chao is a PhD student in the Department of Computer Science & Engineering at University of South Carolina. He is interested in applying machine learning algorithms and Bayesian statistics in social science study.
Dr. Caicedo is a Professor at the Department of Civil and Environmental Engineering at the University of South Carolina. His research interests are in structural dynamics, model updating, and engineering education. He received his B.S. in Civil Engineering from the Universidad del Valle in Colombia, South America, and his M.Sc. and D.Sc. from Washington University in St. Louis. Dr. Caicedo's educational interests include the development of critical thinking in undergraduate and graduate education. More information about Dr. Caicedo's research can be found online at http://sdii.ce.sc.edu
Steve McAnally is Associate Professor in the Department of Civil and Environmental Engineering at the University of South Carolina. His research interests focus on water and wastewater treatment, particularly appropriate technology applications for developing communities. Other interests include reform in undergraduate civil engineering education.
Dr. Pierce is the Director for Diversity and Inclusion and Associate Professor in the Department of Civil and Environmental Engineering at the University of South Carolina. He is a USC Connect Faculty Fellow for Integrative Learning, and a Bell South Teaching Fellow in the College of Engineering and Computing. Dr. Pierce also serves as the ASEE Campus Representative for USC.
Gabriel Terejanu has been an Assistant Professor in the Department of Computer Science and Engineering at University of South Carolina since 2012. Previously he was a Postdoctoral Fellow at the Institute for Computational Engineering and Sciences at University of Texas at Austin. He holds Ph.D. in Computer Science and Engineering from University at Buffalo. He is currently working on the development of a comprehensive uncertainty quantification framework to accelerate the scientific discovering process and decision-making under uncertainty. Some projects currently supported by NSF and VP for Research include discovery of novel catalytic materials for biorefinery industry, modeling and prediction of naturally occurring carcinogenic toxins, and development of statistical models for tracking individual student knowledge.
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