Mingon KANG, Ph.D

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News

  • Oct. 8, 2020

    Research talk for VA Grand Rounds, "Big Data & AI in NV geriatric care"

  • Sep. 29,2020

    Research talk for NV HIMSS: Predicting an inpatient risk of benzodiazepine/opioid overdose

  • Sep. 24, 2020

    Invited talk from NIPM, noon-1pm, Sep. 24: Interpretable and integrative deep learning for biomedical research

  • Jul.- Aug., 2020

    Research talks at Dong-Eui University, Korea Brain Research Institute, Gyeongsang National University, Sunmoon University, DGIST, and Chungbuk National University

  • May. 19, 2020

    "Deep-Hipo: Multi-scale receptive field deep learning for histopathological image analysis" is published in Methods

  • Apr. 2, 2020

    Invited talk from NIPM, noon-1pm, April 2@SEB 2251: Interpretable and integrative deep learning for biomedical research

  • Feb. 25, 2020

    Invited talk from UNLV SOM, noon-1pm, Feb 25@Shadow Ln Campus SIM center classroom 4: Clinical & Translational Research in Machine Learning

  • Dec. 23, 2019

    "Interpretable deep neural network for cancer survival analysis by integrating genomic and clinical data" is published in BMC Medical Genomics

  • Dec. 18, 2019

    A book chapter "Integration of Multi-omics Data for Expression Quantitative Trait Loci (eQTL) Analysis and eQTL Epistasis" is published in eQTL Analysis Methods in Molecular Biology

  • Oct. 7, 2019

    "Semi-supervised Discriminative Transfer Learning in Cross-language Text Classification" is accepted in IEEE ICMLA 2019

  • Oct. 1, 2019

    "Texture-based Deep Learning for Effective Histopathological Cancer Image Classification" is accepted as a short paper (acceptance rate of 36.4%) in BIBM 2019

  • Sep. 16, 2019

    "PAGE-Net: Interpretable and Integrative Deep Learning for Survival Analysis Using Histopathological Images and Genomic Data" is accepted in PSB 2020, and invited for an oral presentation. See you in Hawaii at Janaury 3-7, 2020.

  • July 1, 2019

    I moved to the University of Nevada, Las Vegas as an Assistant Professor in the Department of Computer Science.

  • June 16, 2019

    A paper, titled "Pathway-based Deep Clustering for Molecular Subtyping of Cancer", is accepted in Methods

  • May 21, 2019

    A paper, titled "DoT-Net: Document Layout Classification Using Texture-based CNN", is accepted in ICDAR

  • March 20, 2019

    Hi-LASSO is accepted in IEEE Access

  • Feb 2, 2019

    Invited to an organizing member (workshop co-chair) in IEEE BIBM

  • Jan 30, 2019

    Two BIBM papers are invited to special issues in Methods (IF: 3.99, h-index: 129) and BMC Genomics (IF: 3.73, h-index: 130)

  • Jan 30, 2019

    Invited to an organizing member (co-chair) in Computer Sciences and Information Technologies, UKC 2019

  • Jan 3, 2019

    Received an external grant of $100,000 from Oracle for the work entitled, "A Federated Approach to Image Feature Extraction."

  • Nov 14, 2018

    "PASNet: Pathway-Associated Sparse Deep Neural Network for Prognosis Prediction from High-throughput Data", Accepted in BMC Bioinformatics.

  • Nov 10, 2018

    A research presentation at KOCSEA Technical Symposium in Silicon Valley, CA

  • Aug 11, 2018

    Invited a talk from Colloquium Series in School of Engineering at the University of Bridgeport, CT: Sep 28 2018

  • 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)

  • April 26, 2018

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

  • March 16, 2018

    A research presentation to Molecular Biosciences Interdisciplinary Group (MBIG) seminars, 2pm@CL2008, KSU Kennesaw campus

  • February 8, 2018

    A presentation in The Home Depot's HQ

  • September 6, 2017

    News report of the collaboration work with GE: Kennesaw State University Partners With GE Digital To Launch Country’s First Data Science Ph.D.

  • June 23, 2017

    Three tier-III GRA ($5,500 stipend + full tuition $3,480 for in-state/$12,540 for out-of-state per each) are awarded from the Graduate College at KSU

  • June 10, 2017

    A tier III GRA ($12,000 stipend + full tuition) is awarded from OVPR at KSU

  • May 10, 2017

    The following two workshop proposals are accepted in IEEE BIBM:

    1. International Workshop on Deep Learning in Bioinformatics, Biomedicine, and Healthcare Informatics (DLB2H 2017)
    2. International Workshop on Biological Network Analysis and Integrative Graph-Based Approaches (IWBNA 2017)

  • April 30, 2017

    Three journal papers are accepted in International Journal of Data Mining and Bioinformatics (IJDMB)

  • March 27, 2017

    Awarded a Tier II summer GRA ($4,500 stipend + 9 hours tuition waiver) from the Graduate College, KSU

  • March 23, 2017

    Invited to a talk in Big Data Lecture Series

  • Feburary 14, 2017

    "Graph-theory Based Simplification Techniques for Efficient Biological Network Analysis", Accepted in Big Data Service 2017

  • November 14, 2016

    Invited to the International Symposium on Bioinformatics Research and Applications (ISBRA) as a Program Committee.

  • November 9, 2016

    "Integrative Gene Regulatory Network Inference Using Multi-omics Data", Accepted in BIBM 2016

  • October 23, 2016

    Invited to the International Conference on Bioinformatics and Biomedical Technology (ICBBT) as a Technical Committee.

  • October 15, 2016

    "Robust Inductive Matrix Completion Strategy to Explore Associations between LincRNAs and Human Disease Phenotypes", Accepted in BIBM 2016 (Acceptance Rate: 19%).

  • October 8, 2016

    "Nearest-Neighbor Search with Locally Weighted Linear Regression for Heartbeat Classification", Accepted in Soft Computing (Springer).

  • August 10, 2016

    "Integrative approach for inference of gene regulatory networks using lasso-based random featuring and application to psychiatric disorders", Accepted in BMC Medical Genomics.

  • August 8, 2016

    Joined the Department of Computer Science at Kennesaw State University as an assistant professor

  • June 14, 2016

    "Multi-Block Bipartite Graph for Multimodal Genomic Data", Accepted in IEEE/ACM Transactions on Computational Biology and Bioinformatics (IEEE TCBB).

  • April, 22, 2016

    Invited to Association of Technology, Management, and Applied Engineering (ATMAE) at Texas A&M University-Commerce as a presenter

  • March, 1, 2016

    News report of my research project, "Deep Learning on Intelligent Systems for Digital Signage" [TAMUC News]

  • Feburary, 15, 2016

    "Computational modeling of animal foreign body responses to implanted biomaterials", Published in BMC Bioinformatics (Impact factor: 2.576)

  • January, 6-9, 2016

    Participation in The International Consumer Electronics Show (CES) in Las Vegas, NV

  • December 29, 2015

    "Integrative approach for inference of gene regulatory networks using lasso-based random featuring and application to Psychiatric disorders", Invited to a special issue in BMC Medical Genomics

  • December 17, 2015

    "Inferring causal molecular networks: empirical assessment through a community-based effort", Acceped in Nature Method

  • December 14, 2015

    "An Integrative Genomic Study for Multimodal Genomic Data Using Multi-Block Bipartite Graph", Invited to a special issue in IEEE/ACM Transactions on Computational Biology and Bioinformatics (IEEE TCBB)

  • December 10, 2015

    "Heartbeat Classification Using Beat Morphology Features for Mobile Arrhythmia Recognition", Invited to a special issue in Journal of Medical Systems

  • December 10-11, 2015

    Oral presentation invited, KOCSEA (Korean Computer Scientists and Engineers Association in America) Technical Symposium, Harvey Mudd College, Claremont, CA

  • November 9-12, 2015

    BIBM participation (Oral presentation invited), Washington D.C.

  • September 7, 2015

    Three papers are accepted in BIBM 2015 as reguluar papers (acceptance rate 19%)

    • An Integrative Genomic Study for Multimodal Genomic Data Using Multi-Block Bipartite Graph
    • Integrative approach for inference of gene regulatory networks using lasso-based random featuring and application to psychiatric disorders
    • Heartbeat classification for detecting arrhythmia using normalized beat mophology features

  • August 24, 2015

    Joined the Department of Computer Science at Texas A&M University-Commerce as an assistant professor

  • July 22, 2015

    PhD Defense: Wed July 22, 2015 11 am, ERB 301: Everyone is invited to attend the presentation.

  • April 29, 2015

    Received the merit-based Graduate School Dissertation Fellowship ($6726), University of Texas at Arlington.

  • April 22, 2015

    'Multiblock Discriminant Analysis: A Novel Approach for Integrative Genomic Study', Published in BioMed Research International (IF: 2.706)

  • December 11-12, 2014

    Won the FIRST place in 2014 KOCSEA Moon-Jung Chung Scholarship Competition, IBM Watson Research Center, NJ

  • November 10-12, 2014

    Attended IEEE 14th International Conference on Bioinformatics and Bioengineering (IEEE BIBE), Boca Raton, FL, where I presented the BEST paper

  • November 1, 2014

    Won the GenDepot Poster Award in Korean-American Biomedical Scientists Symposium (KABMS), MD Anderson Cancer Center, Houston, TX

  • October 25, 2014

    "eQTL epistasis: detecting epistatic effects and inferring hierarchical relationships of genes in biological pathways", Accepted in Oxford Bioinformatics journal