Pr. KC Santosh, Full Professor (AI) and Chair Department of Computer Science, The University of South Dakota (USD)
Bio: Prof. KC Santosh—a highly accomplished AI expert—is the chair of the Department of Computer Science and the founding director of the Applied AI Research Lab at the University of South Dakota (USD). He also served the National Institutes of Health as a research fellow and LORIA Research Center as a postdoctoral research scientist, in collaboration with industrial partner, ITESOFT, France. He earned his Ph.D. in Computer Science—Artificial Intelligence from INRIA Nancy Grand East Research Center (France). With funding exceeding $8 million from sources like DOD, NSF, ED, and SDBOR, he has authored 10 books and more than 250 peer-reviewed research articles, including IEEE TPAMI. He serves as an associate editor for esteemed journals such as IEEE Transactions on AI, IEEE Transactions on Medical Imaging, Int. J of Machine Learning & Cybernetics, and Int. J of Pattern Recognition & Artificial Intelligence.
To name a few, Prof. Santosh is the proud recipient of the Visionary Leadership Award (University of Derby—UK, 2023) Cutler Award for Teaching and Research Excellence (USD, 2021), the President's Research Excellence Award (USD, 2019), and the Ignite Award from the U.S. Department of Health & Human Services (HHS, 2014).
Effective from Spring 2024, he joined the NIST AI Safety Institute Consortium and, since December 2024, has been serving in the U.S. Speaker Program (U.S. Department of State), delivering talks on AI and AI education—being the only representative from South Dakota in both roles. As the founder of AI programs at USD, he has taken significant strides to increase enrolment in the graduate program, resulting in over 3,000% growth in just three years. His leadership has helped build multiple inter-disciplinary AI/Data Science related academic programs, including collaborations with Biology, Physics, Biomedical Engineering, Sustainability and Business Analytics departments. Prof. Santosh is highly motivated in academic leadership, and his contributions have established USD as a pioneer in AI programs within the state of SD.
More info: https://kc-santosh.org/ (personal web),https://youtube.com/@professor-ai-kc-santosh (YouTube), and https://youtu.be/J9dZV2EAuUU?si=bLWxYmEs_WRycT_u (TEDx talk)
Dr. Imad Reda, Associate Professor at the University of Technologye of Compiegne (UTC)
Talk title: Dictionary learning for signal classification
Bio: He received the M.Sc. degree in biometrics from UPEC University in 2012 and the Ph.D. degree in computer science from Normandy University in 2017. He has been temporary research and teaching assistant and postdoc with INSA Normandy and ISAE SUPAERO respectively. He is currently an Associate Professor at the University of Technologye of Compiegne (UTC). He has authored or coauthored more than 40 technical papers at prestigious international journals and conferences, including the IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, IEEE TRANSACTIONS on SYSTEMS, MAN, and CYBERNETICS: SYSTEMS, IEEE JOURNAL of BIOMEDICAL and HEALTH INFORMATICS, INFORMATION FUSION and ARTIFICIAL INTELLIGENCE REVIEW. Dr. Rida serves/served as an Associate Editor for IMAGE and VISION COMPUTING and MULTIMEDIA TOOLS and APPLICATIONS. He also serves/served as guest editor for ENGINEERING APPLICATIONS FOR ARTIFICIAL INTELLIGENCE and JOURNAL of INFORMATION SECURITY and APPLICATIONS. His research interests include machine learning, pattern recognition and signal/image processing.
https://scholar.google.co.uk/citations?hl=en&user=Gs1szgkAAAAJ&view_op=list_works&sortby=pubdate
Dr. Tolga Ensari , Department of Computer and Information Science, Arkansas Tech University, USA
Title : Probabilistic Computing and Quantum Machine Learning
BIO: Dr. Tolga Ensari is an assistant professor at the Department of Computer and Information Science, Arkansas Tech University, AR. He received his Ph.D. degree in Computer Science from Istanbul University in 2009. He was a visiting scholar at the University of Louisville, KY in 2012, 2014, and 2019. His research interests are machine learning, deep learning, and pattern recognition. He has published more than 70 scientific articles, book chapters and has been cited more than 500 times in the literature. He founded a machine learning research lab and he has 20+ years of experience in machine learning and artificial intelligence. Dr. Ensari also completed many scientific research projects in machine learning and was awarded the international successful researcher. His work has been supported by the National Science Foundation (NSF) and The Scientific and Technological Research Council of Turkey (Tubitak), and the Council of Higher Education. He has been serving as a reviewer and a committee member for several scientific journals and conferences including Nature, IEEE Transactions on Neural Networks and Learning Systems, Neurocomputing, Cambridge University Press, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Neural Networks, Neural Computing and Applications, PLOS and Current Bioinformatics. He is a member of IEEE (Institute of Electrical and Electronics Engineers) and has three patents.
Contact: tensari@atu.edu
Homepage: https://scholar.google.com/citations?user=o-TS7FsAAAAJ&hl=tr&oi=ao
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