KC Santosh, PhD
Assistant Professor & Graduate Program Coordinator
Bio (quick)

Dr. KC has been employed at the University of South Dakota (USD) as an Assistant Professor since 2015. Dr. KC currently serves as the Graduate Program Coordinator (GPC) for the department of computer science. In addition, Dr KC serves on the Arts & Sciences Curriculum and Instruction (ASCI) committee, and the Council for Undergraduate Research & Creative Scholarship (CURCS) committee. Before joining USD, Dr. KC worked as a research fellow at the U.S. National Library of Medicine (NLM), National Institutes of Health (NIH). He worked as a postdoctoral research scientist at the LORIA research centre, Universite de Lorraine in direct collaboration with industrial partner ITESOFT, France. He also worked as a research scientist at the INRIA Nancy Grand Est research centre, France, where he has received his PhD diploma in computer science (just in 3 years). Before that, he worked as a graduate research scholar at the SIIT, Thammasat University, Thailand. Dr. KC has demonstrated expertise in pattern recognition, image processing, computer vision and machine learning with various applications in handwriting recognition, graphics recognition, document information content exploitation, medical image analysis and biometrics. Dr. KC published more than 90 peer-reviewed research articles, including a book section in encyclopedia of electrical and electronics engineering. Dr. KC edited a book entitled recent trends in image processing and pattern recognition: Communications in Computer and Information Science (CCIS) series, Vol. 709 (Springer) and a research book (monographs) entitled Document Image Analysis: Current Trends and Challenges in Graphics Recognition to be published by Springer 2018.

Dr. KC is an associate editor of International Journal of Machine Learning & Cybernetics (Springer) and Journal of Pattern Recognition Research, serves on the editorial board member of SpringerPlus, International Journal of Computer Vision and Image Processing , Frontiers in ICT: Computer Image Analysis, Cultural Heritage Digitization: Frontiers in Digital Humanities, and served as a review panel for Natural Science and Engineering Research Councils (NSERC) of Canada and National Science Foundation (NSF). He is a regular reviewer for high quality journals (IEEE, Springer, Elsevier) and high quality conferences and workshops (sponsored by IEEE, IAPR and Springer) in the domain. In 2016, Dr. KC chaired the International conference on Recent Trends in Image Processing & Pattern Recognition (RTIP2R).

Dr. KC's research interests are pattern recognition, computer vision, image analysis, machine learning, data mining, big data.


Department of Computer Science

University of South Dakota
414 E. Clark Street
Office #204, Arts & Sciences (Building)
Vermillion, SD 57069