Mingon KANG, Ph.D

Home DataX Lab Biosketch Publications Advising Sponsors

- Education

- Professional Positions

  • Director, Interdisciplinary Biomedical Engineering, UNLV, 2025 - present
  • Liaison, AI & Big Data Interdisciplinary Research Development Area (iRDA), UNLV, 2023 - Present
  • Councilor, ECE Technical Group Councilors, Korean-American Scientists and Engineers Association(KSEA), 2025 - present
  • Organizing member, Korean Computer Scientists and Engineers Association in America (KOCSEA), 2025 - present

- Invited talks

  • Aug. 22, 2026: Keynote speech at the 34th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD2026), Okayama University, Japan
  • May 27, 2026: Invited talk from Korea Polar Research Institute
  • Apr. 1, 2026: Invited talk from Korea University
  • Sep. 2, 2025: Invited talk from POSTECH
  • Mar. 12, 2025: Webinar to Souther Nevada Health District: Leveraging Machine Learning to Analyze Electronic Health Record Data for Clinical Outcome Prediction, Early Detection, and Analysis
  • Mar. 7, 2025: Inivted talk at UNLV Biomedical program seminar
  • Nov. 14, 2024: Inivted talk at Cincinnati Children's Hospital Biomedical Informatics Seminar Series in Cincinnati, OH
  • Jul. 16, 2024: Inivted talk from CMS MRGP: Interpretable Deep Learning for Opioid Overdose Risk Prediction Using Electronic Health Record Data
  • Apr. 18, 2024: Presnetation at COVID Impact on Disparities Research Forum
  • Jan. 12, 2024: Invited talk at PAG31 (Plant & Animal Genome) in San Diego
  • Nov. 12, 2022: Research talk at KOCSEA Tech Symposium in Seattle, WA
  • Aug. 11, 2022: Invited research talk at Cipherome
  • Apr. 22, 2022: Invited research talk for the series of Knight Foundation School of Computing and Information Sciences at Florida International University
  • Feb. 18, 2022: Invited research talk at Kennesaw State University, "Interpretable and Integrative Deep Learning in Bioinformatics"
  • Nov. 7, 2021: Research talk at KSEA-UKC, "Interpretable deep learning enhances prediction of enzyme commission numbers".
  • Sep. 23, 2021: Invited research talk at Seoul National University, "Pathway-based interpretable deep learning for survival analysis".

- Professional Service


- Research Activities

  • Journal Reviews
    • ACS Journal of Chemical Information and Modeling, 2024
    • Applied Sciences in 2019
    • Bioengineering in 2018
    • Bioinforamtics in 2019, 2024(2)
    • Bioinforamtics advances in 2025
    • Bigdata Mining in 2024
    • Bioinformatics, 2023, 2024
    • BMC Bioinformatics in 2011, 2022, 2024
    • BMC Genomics in 2024
    • BMC Medical Informatics and Decision Making, 2023
    • BMC Medical Research Methodology in 2021, 2022
    • Briefings in Bioinformatics in 2020, 2024
    • British Journal of Cancer in 2023, 2024
    • Computers in Biology and Medicine in 2014
    • Current Genomics in 2018
    • eBioMedicine, 2023, 2024
    • Expert Systems With Applications in 2020
    • Genome Biology in 2021, 2022
    • GigaScience (Oxford Academic) in 2020, 2023
    • IEEE Access, 2018
    • IEEE/ACM Transactions on Computational Biology and Bioinformatics in 2019, 2021, 2023
    • IEEE Journal of Biomedical and Health Informatics in 2013, 2019
    • International Journal of Data Mining and Bioinformatics (IJDMB) in 2014, 2016, 2017, and 2018
    • Journal of Chemical Information and Modeling in 2025
    • Journal of Pathology in 2025
    • KSII Transactions on Internet and Information Systems, 2018
    • Nature Communications in 2020, 2024(2), 2026
    • npj Digital Medicine in 2024
    • npj Systems Biology and Applications in 2024, 2025
    • npj Breast Cancer in 2025
    • Neurorehabilitation and Neural Repair in 2019
    • Nucleic Acids Research in 2019
    • MAKE, 2019
    • Methods in 2021
    • Pattern Recognition in 2025
    • Pattern Recognition Letters in 2020
    • PLOS Computational Biology in 2021, 2023
    • PLOS Medicine in 2017 and 2018
    • Scientific Reports in 2020, 2023
    • Sustainability in 2018
  • Conference Reviews
    • BMVC in 2026
    • NeurIPS in 2026
    • ACCV in 2024
    • MICCAI in 2024, 2025, 2026
    • ECCV in 2024
    • ICCV in 2023
    • CVPR in 2021, 2022, 2025, 2026
    • CRC in 2021
    • PSB in 2019, 2020, 2021, 2022, 2023
    • IEEE BIBM in 2010 - 2026
    • ICMLA in 2017
    • IPCCC in 2018
    • HICCS in 2018
    • IEEE BIBE in 2018
    • CSPS in 2013
    • ISBRA in 2011, 2017, 2018, 2019
    • ACM BCB in 2011
    • IEEE GLOBECOM in 2018
  • Research Collaboration in Tianjin Normal University, China, Jun~Aug, 2011


- Honors & Awards

  • Merit-based Graduate School Dissertation Fellowship
    University of Texas at Arlington, May, 2015
  • 1st place in 2014 KOCSEA Moon-Jung Chung Scholarship Competition
    15th KOCSEA (Korean Computer Scientists and Engineers Association in America) Technical Symposium, IBM Watson Research Center, 11-12, December, 2014
  • GenDepot Poster Award
    Korean-American Biomedical Scientists Symposium (KABMS), MD Anderson Cancer Center, Houston, TX, Nov. 1, 2014
  • College of Engineering Academic Excellence Award, UT Arlington, Apr 2014
  • 2013 KSEA-KUSCO Graduate Scholarship, Korean-American Scientists and Engineering Association, Aug 2013
    (Only 20 were given nationwide annually with recipients mainly from top universities)
  • Enhanced Graduate Teaching Assistant Only top 7 Ph.D. students, Fall, 2010 - Spring, 2015
  • President of Korea Student Association, UT Arlington, 2011-2012
  • YoungHo Kim Scholarship, YoungHo Kim, Dec 2009
  • OGS Scholarship, Office of Graduate Studies, UT Arlington, Jan 2009
  • Honor scholarship & Ungergraduate Grant, HanYang University, 1998 - 2000 and 2005