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(January 2023, updated).
Prof. Santosh has demonstrated expertise in artificial intelligence, machine learning, pattern recognition and computer
vision with various application domains such as healthcare informatics and medical imaging,
document imaging, biometrics, forensics, speech/audio analysis, and Internet of Things. Having secured substantial funding totaling over $1.3 million from sources like SDCRGP, State of SD, DOE, NSF, and the Asian Office of Aerospace Research and Development (AOARD), which notably includes a $1 million grant from DOD in 2023 for AI/ML capacity building at USD, he has authored 10 books and more than 240 peer-reviewed research articles. He is an associate editor of multiple prestigious journals such as IEEE Transactions on Artificial Intelligence, 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 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).
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 three years. He 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.
Prof. KC Santosh, a highly accomplished AI expert, is the chair of the Department of Computer Science, University of South Dakota. 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).
Associate #EditorInChief of Electronics, MDPI
#AcademicEditor of PeerJ Computer Science (2021 - 2023)
#AssociateEditor of IEEE Transactions on Artificial Intelligence,
International Journal of Machine Learning &
Cybernetics, Springer Nature,
International Journal of Pattern Recognition & Artificial Intelligence, World Scientific,
IET Image Processing,
World Scientific Annual Review of Artificial Intelligence,
SN Computer Science, Springer Nature,
Advances in Computational Intelligence, Springer Nature,
International Journal of Ambient Computing and Intelligence, IGI Global, and
Journal of Pattern Recognition Research
#EditorialBoard of Human-Centric Intelligent Systems, Springer Nature
#GuestEditor of Elsevier: Artificial
Intelligence in Medicine, Computers in
Biology and Medicine, and Computer &
World Scientific: International Journal of Pattern Recognition & Artificial Intelligence
IEEE: Journal of Biomedical & Health Informatics
Springer Nature: MTAP, IJST, SN
Computer Science, and IJDAR
MDPI: Information, AI, Applied Sciences, Big Data and Cognitive Computing, Digital, Healthcare, Signals, and Journal of Imaging
IGI Global: IJCVIP
#CAI 2024 - Publicity ChairReview panelist (research grant proposals):
#CBMS (2020, 2021, 2022, 2023): Industry Chair (2023), General Chair (2020, 2022), Special Track Chair (2021), Steering Committee (2020 - present)
USD's symposium on #ArtificialIntelligence (2021, 2022, 2023 [closing remarks: recording]): Chair/Founder
#AICV, 2023 - Chair
#RTIP2R (2016, 2018, 2020, 2021, 2022, 2023): Chair/Founder
#ICMI, 2022 - General Chair
#GREC (2019): Program Chair
symposium (2018 and 2019): Chair/co-Founder