- Faculty

Mingon Kang, Ph.D in Computer Science

Assistant Professor
Department of Computer Science
University of Nevada, Las Vegas
Website: http://mkang.faculty.unlv.edu

- Ph.D. students

Sai Kosaraju

Aug. 2019 - Present, Ph.D. student in CS @ UNLV

- Research interests: Machine Learning, Deep Learning, Medical Image Analysis, Bioinformatics
- Funded from UNLV Top Tier Doctoral Graduate Research Assistantship
- Publications in Methods, PSB, IEEE BIBM, and ICDAR

Euiseong Ko

Jan. 2020 - Present, Ph.D. student in CS @ UNLV

- Research interests: Machine Learning and Deep Learning in Bioinformatics and Healthcare
- Funded from UNLV Engineering Fellowship, MW CTR-IN, CMS
- Publications in Briefings in Bioinformatics, ISBM, PNAS, and ICNC

Avinash Yaganapu

Aug. 2020 - Present, Ph.D. student in CS @ UNLV

- Research interests: Deep Learning, Computer Vision, and Protein sequence analysis
- Funded from NASA, IITP

Candace Suh-Lee

Mar. 2022 - Present, Ph.D. student in CS @ UNLV

- Research interests: Data science in cyber security

Louis Dumontet

Aug. 2022 - Present, Ph.D. student in CS @ UNLV

- Research interests: Machine Learning in Bioinformatics
- Funded from MOF

Sai Phani Parsa

Aug. 2022 - Present, Ph.D. student in CS @ UNLV

- Research interests: Medical image analysis and machine learning in Bioinformatics
- Funded from The College of Engineering at UNLV

- Master students

Yu Chen

May. 2022 - Present, MS student in CS @ UNLV

- Research interests: Interrupted analysis and time-series analysis

Eunyoung Jang

Aug. 2022 - Present, MS student in CS @ UNLV

- Research interests: Pathway-based analysis and High-performance computing
- Funded from NSF MRI

Simbarashe Sithole

Jan. 2023 - Present, MS student in CS @ UNLV

- Research interests: Unsupervised semantic image segmentation

Shizhao Wang

Jan. 2023 - Present, MS student in CS @ UNLV

- Research interests: AFB detecting and reinforcement learning

- Undergraduate students

Stacey Lai

Oct. 2022 - Present, Undergraduate student in CS @ UNLV

- Research interests: Software development in Bioinformatics

- Visiting Students


Valentin Roy

Dec. 2022 - Mar. 2023, Graduate Internship at EFREI

- Research interests: Fairness in ML

Bastien Dalifard

Aug. 2022 - Mar. 2023, Graduate Internship at EFREI

- Research interests: Fairness in ML

- Visting scholars

  • Dr. Jinseup Kim, Gyeonsang National University School, January 2023 - January 2024
  • Dr. Daehyun Song, Gyeonsang National University School of Medicine, Febuary 2022 - January 2023
  • Dr. Minho Kwon, Gyeonsang National University, Feburary 2022 - August 2022
  • Boyeol Yoon, Ministry of Science and ICT, December 2021 - June 2022
  • Oh-seok Kwon, DGIST, October 2020 - July 2021
  • Dr. Hyun Lee, Sun Moon University, July 2019 - May 2020
  • Jooyoun Bae, The Institute for National Security Strategy (INSS), July 2017 - June 2018

- Research Collaborators

  • Dr. Jung Hun Oh, Department of Medical Physics, Memorial Sloan Kettering Cancer Center
  • Ji Won Yoo, M.D., Department of Internal Medicine, School of Medicine, University of Nevada, Las Vegas
  • Dr. Henry Sun, Desert Research Institute, Las Vegas, NV
  • Dr. Tesfaye B. Mersha, Associate Professor, Cincinnati Children’s Hospital Medical Center and University of Cincinnati
  • Dr. Jung Wook Yang and Dr. Dae-Hyun Song, Department of Pathology, Gyeonsang National University School of Medicine
  • Dr. Junggab Son, Department of Computer Science, UNLV
  • Dr. Jae-Yeol Joo, College of Pharmacy, Hanyang University
  • Dr. Tae-Jin Oh, Department of Pharmaceutical Engineering and Biotechnology, Sun Moon University
  • Dr. Jun-Hyuk Lee, Korea Polar Research Institute

- Former students

- Postdoc

  • Youngsoon Kim, Ph.D, Postdoc at Jul. 2017 - Jul. 2019
    First job: Assistant Professor at Gyeongsang National University
    Projects: Hi-LASSO, Biological network analysis, Deep learning in bioinformatics, Biostatistics analytics
    Published nine journal/conference papers, including IEEE Access, IJDMB, BMC Bioinformatics, IEEE BIBM, BMC Medical Genomics, and Methods.

- Ph.D. Graduates

  • Jie Hao, (Jul. 2019), Ph.D. in Analytics and Data Science
    Pursued her Postdoctoral Fellow at the University of Pennsylvania. Currently, Assistant Professor in the Institute of Medical Information at the Chinese Academy of Medical Sciences & Peking Union Medical College.
    Dissertation: Biologically Interpretable, Integrative Deep Learning For Cancer Survival Analysis
    Published ten journal/conference papers, including PSB, BMC Bioinformatics, BMC Medical Genomics, IEEE BIBM, and Methods.

- M.S. Graduates

  • Nicholas Lower, M.S. in Computer Science, Oct. 2021 - Jul. 2022
    Project: Regression-based gait speed estimation using fitbit device
  • Manjari Ganapathy, M.S. in Computer Science, Jul. 2020 - May. 2021
    Project: Machine Learning and Federated AI
    First job: Reporting Analyst 2 at Credit One Bank
  • Sai Kosaraju (July, 2019), M.S. in Computer Science
    Pursuing his Ph.D. at the University of Nevada, Las Vegas
    Thesis: Document Layout Analysis and Recognition Systems
    Published five conference papers (IEEE BIBM, PSB, ICDAR, ACM-SE, and ACM RACS)
  • Nelson Zange Tsaku (July, 2019), M.S. in Computer Science
    First job: Competitive Intelligence Analyst at SITA
    Current: Data Analyst II at Microsoft
    Thesis: Texture-based Deep Neural Network for Histopathology Cancer Whole Slide Image (WSI) Classification
    Published four conference papers (IEEE BIBM, PSB, ICDAR, and ACM-SE)
  • Tejaswini Mallavarapu (July, 2018), M.S. in Computer Science
    Pursuing her Ph.D. at Kennesaw State University
    Thesis: SPACL: Sparse Pathway-based Clustering for Cancer Subtypes
    Published a conference paper in IEEE BIBM.
  • Euiseong Ko (July, 2018), M.S. in Computer Science (Co-advising with David Kim)
    Pursuing his Ph.D. at the University of Nevada, Las Vegas
    Thesis: Fast and Accurate Machine Learning-based Malware Detection via RC4 Ciphertext Analysis
    Published three journal/conference papers in IEEE TIFS, IJDMB, and BigDataService.
  • Kritika Garg (July, 2018), M.S. in Computer Science
    First job: Machine Learning Engineer (NLP) at Paxcom India (P) Ltd - A Paymentus Company
    Project: Face/Gender/Age recognition with CNN on mobile
  • Neda Zarayeneh (May, 2017), M.S. in Computer Science, Texas A&M University-Commerce
    Pursuing her Ph.D at Washington State University
    Thesis: Multi-Omics Based Gene Regulatory Network Inference
    Published two journal/conference papers in IJDMB and IEEE BIBM.
  • Dhiraj Gharana (May, 2016), M.S. in Computer Science, Texas A&M University-Commerce
    Pursuing his Ph.D at University of Colorado Colorado Springs
    Thesis: Gender and Age Classification from Facial Images Using Deep Learning
    Published a book chapter in Big Data and Visual Analytics, Springer.

- Undergraduate Graduates

  • Cedric Men (December, 2022), B.S. in Computer Science at UNLV
    Research interests: Machine Learning and Software development
    funded from NIHAN
  • Cameron-Keokolo Tabion (May, 2022), B.S. in Computer Science at UNLV
    Research interests: Machine Learning and Software development
    funded from NV INBRE Undergraduate Research Scholarship and NIHAN
  • Eunhye (Amy) Kim (July, 2019), B.S. in Computer Science at KSU
    Pursuing her master at Kennesaw State University
  • Kathelyn Zelaya (Dec, 2017), B.S. in Computer Science at KSU
    First job: Panasonic Automotive in Peachtree city, GA

- Internships

  • Serge Mamadou Keita, Master student at EFREI Paris, Aug. 2022 - Dec. 2022
    Project: CNN models for unsupervised learning
  • Baptiste Jaeger, Undergraduate Internship at ESEO, Jul. 2022 - Nov. 2022
    Project: Software development for PyPathology
  • Suhyeong Jeon, Undergraduate Internship at Korea Aerospace Univ., Aug. 2022 - Dec. 2022
    Project: Software development for ECPICK
  • Victor Chau, Master student at EFREI Paris, May 2022 - Aug. 2022
    Project: Time-series analysis
  • Hayeon Lee, Undergraduate Internship at Hankuk University of Foreign Studies (HUFS), Apr. 2022 - Jul. 2022
  • Kyungmin Jung, master student at Sun Moon University, Jan. 2022 - Jul. 2022
    Project: Plastic Biodegradation classification using Deep Learning
    Supported by Institute for Information and Communications Technology Promotion (IITP)
  • Woohaeng Lee, Ph.D. student at Sun Moon University, Jan. 2022 - Jul. 2022
    Project: Bioremediation and Secondary metabolites
    Supported by Institute for Information and Communications Technology Promotion (IITP)
  • Jisub Hwang, Ph.D. student at University of Science and Technology, Korea Polar Research Institute, Dec. 2021 - Apr. 2022
    Project: Antibiotic Resistance Gene (ARG) prediction of microorganisms
    Supported by Institute for Information and Communications Technology Promotion (IITP)
  • Kihwa Kim, Ph.D. student at Sun Moon University, Sep. 2021 - Apr. 2022
    Project: Prediction of CYP-Substrate interaction
    Supported by Institute for Information and Communications Technology Promotion (IITP)
  • Byeollee Kim, Ph.D. student at Sun Moon University, Sep. 2021 - Apr. 2022
    Project: Secondary metabolite and Bioinformatics
    Supported by Institute for Information and Communications Technology Promotion (IITP)
  • Juyeon Park, Master student at Sun Moon University, Sep. 2021 - Feb. 2022
    Project: Prediction of CYP-Substrate interaction
    Supported by Institute for Information and Communications Technology Promotion (IITP)
  • Solene Vassent, Master student at EFREI Paris, Nov. 2021 - Mar. 2022
    Project: Interpretable AI
  • Alexandre Messika, Master student at EFREI Paris, Nov. 2021 - Mar. 2022
    Project: Integration of multi-omics data
  • Paul Beneteau, Master student at EFREI Paris, Sep. 2021 - Nov. 2021
    Project: Pathology image analysis
  • Louis Minart, Master student at EFREI Paris, May 2021 - Nov. 2021
    Project: Pathology image analysis
  • Adem Betina, Master student at EFREI Paris, Oct. 2020 - Aug. 2021
    Project: Pathology image analysis
  • Jeongmin Lee, Master student at Sun Moon University, Sep. 2020 - Feb. 2021
    Project: Enzyme Commission Number Prediction
    Supported by Institute for Information and Communications Technology Promotion (IITP)
  • Mingyu Park, Master student at Sun Moon University, Feb. 2019 - Nov. 2020
    Project: Enzyme Commission Number Prediction
    Supported by Institute for Information and Communications Technology Promotion (IITP)
  • Jongkwon Jo, Master student at Kyungsang National University, Jan. 2020 - Dec. 2020
    Project: Python package of Hi-LASSO
    Supported by Institute for Information and Communications Technology Promotion (IITP)
  • Sora Han, Ph.D. student at Sun Moon University, Sep. 2019 - May 2020
    Project: Enzyme Comission Number Prediction
    Supported by Institute for Information and Communications Technology Promotion (IITP)
  • Taejin Hyun, Master student at Gyeongsang National University, Sep. 2019 - May 2020
    Project: Genes to Pathway
    Supported by Institute for Information and Communications Technology Promotion (IITP)
  • Seung Ha Jung, Master student at Gyeongsang National University), Sep. 2019 - May 2020
    Project: Spark in Hi-LASSO
    Supported by Institute for Information and Communications Technology Promotion (IITP)
  • Seoyoon Park, Undergraduate Internship (from Hankuk University of Foreign Studies (HUFS)), Dec. 2017 - Jul. 2018
    Project: Motion Detection