Mingon KANG, Ph.D

Home Research Lab Research Biosketch Publications Teaching Advising Links

Dr. Kang is an assistant professor in the Department of Computer Science at Kennesaw State University since Fall 2016. His research interests include Bioinformatics, Machine Learning, Data Mining, Computer Vision, and Big Data Analytics. He received his M.S. and Ph.D. degree in the Department of Computer Science at the University of Texas at Arlington.

Office: J-339, Kennesaw State University, Marietta, GA 30060
Email: mkang9@kennesaw.edu
Tel: 470-578-4311

"Not only so, but we also rejoice in our sufferings, because we know that suffering produces perseverance; perseverance, character; and character, hope. And hope does not disappoint us, because God has poured out his love into our hearts by the Holy Spirit, whom he has given us."


Research Lab: DataX.kennesaw.edu

BIBM Workshops: Deep Learning in Bioinformatics , Biological Network Analysis


Recent News

  • July 17, 2018

    Received an external grant of $40,000 from KNOWCK lnc, "Smart Digital Signage and Big Data Analytics"

  • June 25, 2018

    Selected to receive an FY19 OVPR Pilot/Seed Grant of $11,634 at The Office of the Vice President for Research, Kennesaw State University.

  • May 23, 2018

    Awarded four Tier III GRA ($5,500 stipend + 9 hours tuition waiver) from the Graduate College, KSU

  • May 19, 2018

    "Robust Inductive Matrix Completion Strategy to Explore Associations between LincRNAs and Human Disease Phenotypes", Accepted in IEEE/ACM Transactions on Computational Biology and Bioinformatics (IEEE TCBB).

  • May 13, 2018

    The following two workshop proposals are accepted in IEEE BIBM:

    1. International Workshop on Deep Learning in Bioinformatics, Biomedicine, and Healthcare Informatics (DLB2H 2018)
    2. International Workshop on Biological Network Analysis and Integrative Graph-Based Approaches (IWBNA 2018)

  • Click here to see more news!

Upcoming Proposals in 2018

Upcoming Conferences in 2018

Bioinformatics: ISMB, PSB, RECOMB, BIBM, ACM BCB, APBC, GIW
Machine Learning: ICML, ICDM, KDD, NIPS, ICDE, SDM, IJCAI, AAAI