Prof. KC Santosh, a highly accomplished AI expert, is the Chair of the Department of Computer Science at the University of South Dakota (USD). He is also the founding director of the Applied AI Lab at USD. He served the National Institutes of Health (NIH) as a research fellow. Before that, he worked as a postdoctoral research scientist at the LORIA research centre, Universite de Lorraine in direct collaboration with industrial partner, ITESOFT, France. He earned his PhD in Computer Science - Artificial Intelligence from the INRIA Nancy Grand Est research centre (France). With funding exceeding $8 million from sources like DOD, DOE, 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, Int. J of Machine Learning & Cybernetics, and Int. J of Pattern Recognition & Artificial Intelligence.
As the founder of AI programs at USD, he has taken significant strides to increase enrollment in the graduate program, resulting in over 3,000% growth in just four 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. To name a few, Prof. Santosh is the proud recipient of the Visionary Leadership Award (University of Derby - UK, 2023), the Cutler Award for Teaching and Research Excellence (USD, 2021), the President's Research Excellence Award (USD, 2019), and the Ignite Award from the US Department of Health & Human Services (HHS, 2014). Effective from Spring 2024, he has joined the NIST's AI Safety Institute Consortium, with USD being the only institution representing the state of South Dakota in this consortium.... includes research interest (#artificialintelligence, #machinelearning, #computervision, #patternrecognition, #datamining, ..., #bigdata ), grants/awards, and publications.
Research (statistics, Summer 2024)Capital "NO" to edited books until and unless it is required. I personally don't appreciate edited books.