Embedded Files
The AI-4-Science Summer Camp is developed for broadening participation of South Carolinian K-12 students and getting them involved in artificial intelligence and its application to scientific discovery. This is is made possible by our commitment to broad impact efforts as encouraged by the National Science Foundation Major Research Instrumentation (MRI) Program under Award 2320292, "Track 2 Acquisition of a High-Performance Computing Cluster for Boosting Artificial Intelligence Enabled Science, Engineering, and Education in South Carolina"
Prof. Ming Hu
Prof. Ming Hu
Dr. Ming Hu is an Associate Professor in the Department of Mechanical Engineering at the University of South Carolina. His research focuses on AI for materials discovery, the modeling and simulation of micro- and nano-scale thermal transport in novel energy systems, with particular interest in low-dimensional materials, nanostructures, energy nanotechnology, interfacial heat transfer, and multi-scale and multiphysics modeling of complex energy transport processes.
Prof. Jianjun Hu
Prof. Jianjun Hu
Dr. Jianjun Hu is a professor in the Department of Computer Science and Engineering at the University of South Carolina. His research interests are focused on machine learning, deep learning, data mining, and evolutionary computation. Dr. Hu applies these techniques in various fields, including bioinformatics, materials informatics, biomedical informatics, and intelligent manufacturing. Dr. Hu has an extensive academic background. He earned his Ph.D. in Computer Science from Michigan State University in 2004, followed by postdoctoral training in bioinformatics at Purdue University and the University of Southern California. His research has been supported by prestigious organizations such as the National Science Foundation (NSF), National Institutes of Health (NIH), DOE, and Nvidia.
Paul Sagona
Paul Sagona
Paul Sagona is the Executive Director of Research Computing at the University of South Carolina. He took on this role in February 2019 after serving as the interim director following the retirement of Dr. Phil Moore. Sagona has over a decade of experience at the university, where he has held several positions including Director of the College of Engineering and Computing’s High Performance Computing Group and High Performance Computing Systems Architect for Research Cyberinfrastructure.
During his tenure, Sagona has been instrumental in designing and deploying the university's largest high-performance computing (HPC) cluster, significantly enhancing the research computing capabilities of the institution. His expertise and leadership have contributed to the advancement of research infrastructure and support for faculty and students involved in computational research.
Prof. Sophya Garashchuk
Prof. Sophya Garashchuk
Dr. Sophya Garashchuk is a Professor of Chemistry at the University of South Carolina, specializing in physical and theoretical chemistry. She earned her M.S. in 1992 from the Moscow Institute of Physics and Technology and her Ph.D. in 1999 from the University of Notre Dame. She conducted postdoctoral research at the University of Chicago from 1999 to 2001.
Her research focuses on quantum effects in the dynamics of nuclei, particularly developing methods to include these effects in simulations of large molecular systems. This includes studying proton transfer processes and the role of quantum tunneling and zero-point energy in chemical reactions. Her work aims to integrate quantum effects into classical molecular dynamics to better understand complex molecular systems. Garashchuk has received several honors, including a fellowship at the Max Planck Institute for Physics of Complex Systems in 2023, the USC Rising Star award in 2012, and grants from the ACS Petroleum Research Fund and the National Science Foundation.
Prof. Forest Agostinelli
Prof. Forest Agostinelli
Dr. Forest Agostinelli is an Assistant Professor in the Department of Computer Science and Engineering at the University of South Carolina. He received his Ph.D. in Computer Science from the University of California, Irvine, his M.S. from the University of Michigan, and his B.S. from Ohio State University.
His research focuses on the development of artificial intelligence algorithms with applications in deep learning, reinforcement learning, and search. His work also extends to bioinformatics, neuroscience, and chemistry (Center for Translational Data Science. Dr. Agostinelli is known for projects like DeepCubeA, an AI capable of solving the Rubik's cube and other combinatorial puzzles without human intervention, which showcases his interest in explainable AI and its applications to the natural sciences.
Page updated
Google Sites
Report abuse