KC Santosh, PhD
Chair, Department of Computer Science, The University of South Dakota
Email: santosh.kc@ieee.org & santosh.kc@usd.edu
Phone: (605) 677-3184


Get bull's-eye biography: PDF (January 2023, updated).

Prof. Santosh is the Chair of the Department of Computer Science (CS) at the University of South Dakota (USD). Prior to this, he 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 served as a research scientist at the INRIA Nancy Grand Est research centre (France), where he received his PhD in Computer Science - Artificial Intelligence. Before that, he worked as a graduate research scholar at SIIT, Thammasat University, Thailand.

Prof. Santosh has demonstrated expertise in artificial intelligence, machine learning, pattern recognition, computer vision, image processing, data mining, and big data with various application domains such as healthcare informatics and medical imaging, document imaging, biometrics, forensics, speech/audio analysis, and Internet of Things. His research projects (with $2m+) are funded by multiple agencies such as SDCRGP, State of SD, Department of Education (DOE), National Science Foundation (NSF), and Asian Office of Aerospace Research and Development (AOARD).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).Prof. Santosh completed leadership and training program for Deans/Chairs (organized by the Councils of Colleges of Arts & Sciences (U.S., 21)) and PELI - President's Executive Leadership Institute (USD, 21). Prof. Santosh is highly motivated/intereseted in academic leadership.

Editor (journals): Chair (conferences):
    #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
    USD's #DataHarnessing symposium (2018 and 2019): Chair/co-Founder
Review panelist (research grant proposals):
Awards/recognitions & scholarships
  • Cutler (Richard and Sharon) Faculty Award in Liberal Arts, College of Arts and Sciences, USD (2021)
  • The Choice #Outstanding Academic Title (OAT) of the year for a book titled "#MedicalImaging: Artificial Intelligence, Image Recognition, and Machine Learning Techniques," Association of College and Research Libraries (2020) Follow links: OAT award, 2020 (Book); Certificate, Taylor & Francis Group; and OAT award, Taylor & Francis Group (Engineering).
  • President's #Award for Research Excellence, USD (2019)
  • #Professor of the Game: Certificate of recognition (academic achievement), Academic Affairs, USD (2019, 2020)
  • Belbas-Larson #Award for Excellence in #Teaching (Nomination), USD (2016, 2017, 2018, 2019, 2020)
  • Senior Member, #IEEE (2018)
  • Best Paper #Awards (5 Conferences)
  • U.S. Department of Health and Human Services (#HHS) Ignite #Award (2014)
  • INRIA-CORDI #Fellowship for Fresh FP-6 Strep, European Project (2008-2011)
  • Asian Development Bank-Japan #Scholarship (2005-2007)
Recent talks
Important note. I delivered more than 65 plenary/keynote talks at the international conference/university events. If you are looking at me for a talk, click ACM Distinguished Speaker and submit your request.

  • (June 01, 2023) AI & Ethics Panel. Grreat Plains Network Annual Meeting, Kansas City, MO (May 31 - 02, 2023) [recording - address]
  • (May 25, 2023) The Human Connection - Artificial Intelligence (people, governance, and tooling). South Dakota Hunamnities Council, SD
  • (May 09, 2023) AI/Data Science - from Healthcare to Housing Industry? Mountain Plains Housing Summit, SiouxFalls, SD (May 08 - 10, 2023) [recording - address]
  • (May 02, 2023) AI is the dealbreaker, and so is active learning! APEC symposium on ICT Skill Standards for Artificial Intelligence, Bangkok, Thailand
  • (March 28, 2023) AI is dealbreaker - #activelearning, #bigdata, #carbonfootprint, #sustainableAI, and #greencomputing. USD's third AI symposium, Vermillion, SD [recording]
  • (Feb 07, 2023) Few-shot Learning in an #Activelearning Framework to Understand Future #Epidemics. SDSU Data Science Symposium, Brookings, SD
  • (Feb 07, 2023) #AIforgood - Utopia or dystopia? USD Utopia/Dystopia Symposium, Vermillion, SD
  • (Feb 07, 2023) Few-shot Learning in an #Activelearning Framework to Understand Future #Epidemics. SDSU Data Science Symposium, Brookings, SD
  • (Nov 21, 2022) #Activelearning to Minimize the Possible Risk from Future #Epidemics. IEEE Computer Science Society - Hyderabad section, JNTU, Hyderabad, India
  • (Nov 18, 2022) #MedicalImagingInformatics - #eXplainableAI. 6th International Conference on Intelligent Comput- ing and Communication, GNITS, Hyderabad, India
  • (Aug 13, 2022) #eXplainableAI for #healthcare in #activelearning framework.
    23rd New Frontiers in Computing Conference (NFIC 20222), IEEE Computer Society Santa Clara Valley Chapter, Silcon Valley
  • (Aug 12, 2022) #Activelearning in healthcare - infectious disease outbreak.
    International Conference on Computer Vision and Machine Intelligence (CVMI) - IIIT, Allahabad, India
  • (July 23, 2022) #AI for Medical Imaging Informatics - Where have We Missed #Explainability?
    IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS 2022), Shenzhen, China
  • (July 28, 2022) #eXplainableAI for Medical Imaging Informatics.
    9th International Conference on Machine Vision and Machine Learning (MVML 2023), Prague, Czech Republic
  • (June 20-28, 2022) #AIforGood and so does #machinelearning - #machinelearning for #physics and/or #physicists (case study - neutrino classification).
    PIRE-GEMARDAC, Queen's University, Kingston, Canada
  • (May 17, 2022) #AI for infrastructure secrity - Time to think about Critical Infrastructure Security
    VIT, Bhopal, India
  • (March 25, 2022) #AI for Medical Imaging Informatics - Where have We Missed #Explainability?
    College of Engineering and Technology (Seminar), East Carolina University
Research, scholarship, and creative activity
Service (university-wide and professional)
Books and proceedings (authored and edited) ...

Contact: Department of Computer Science
The University of South Dakota
414 E. Clark Street
Office #201, Arts & Sciences (Building)
Vermillion, SD 57069