Faculty

Mingon Kang, Ph.D.

Associate Professor
Department of Computer Science
University of Nevada, Las Vegas
Website: https://kang.dataxlab.org

Ph.D. students

Sai Phani Parsa

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

- Research interests: AI/ML in medical image analysis and Bioinformatics
- Funded from The College of Engineering at UNLV
- Publications: ISMB 2026, Bioinforamtics

Eunyoung Jang

Aug. 2024 - Present, Ph.D. student in CS @ UNLV

- Research interests: AI/ML in gene expression data, single cell analysis, multi-omics data analysis
- Funded from DoE

Nhat (David) Nguyen

Aug. 2024 - Present, Ph.D. student in CS @ UNLV

- Research interests: Uncertainty in Artificial Intelligence

Beomsu Baek

Aug. 2025 - Present, Ph.D. student in CS @ UNLV

- Research interests: AI/ML in bioinforamtics
- Publications: ECCB 2026, Scientific Reports, ISMB 2026, Journal of Racial and Ethnic Health Disparities

Yina Hou

Aug. 2026 - Present, Ph.D. student in CS @ UNLV

- Research interests: AI/ML in bioinforamtics

Seungeun Lee

Aug. 2024 - Present, Ph.D. student in AI @ Hanyang University, ERICA

- Co-advising with Dr. Kyungtae Kang@Hanyang University
- Research interests: Sptial Transcriptomics
- Publications: MICCAI 2025

Master students

Presley Duggan

Jan. 2025 - Present, Master student in Computer Science, University of Nevada, Las Vegas
Research interests: Electronic Health Record Data Analysis

Thomas Rucinski

Mar. 2026 - Present, Master student in Biomedical Engineering, University of Nevada, Las Vegas
Research interests: Machine Learning in Bioinformatics

Alexandra Caballero

Mar. 2026 - Present, Master student in Biomedical Engineering, University of Nevada, Las Vegas
Research interests: Electronic Health Record Data Analysis

Visting scholars

  • Dr. Dongwook Kim, Gyeongsang National University, August 2026 - July 2027
  • Dr. Jin-su Park, Ilsan hospital, June 2026 - May 2027
  • Dr. Hongje Kang, Wonkwang University, May 2025 - June 2026
  • Dr. Dongmahn Seo, Daegu Catholic University, July 2024 - June 2025
  • Dr. Jikang Park, Chungbuk National University, March 2024 - Febuary 2025
  • Ms. Misong Kim, Ministry of Science & ICT, December 2023 - May 2024
  • Dr. Hara Jeon, National Health Insurance Service Ilsan Hospital, September 2023 - August 2024
  • Dr. Seung-Ho Lim, Hankuk University of Foreign Studies, August 2023 - July 2024
  • 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
  • Mr. Boyeol Yoon, Ministry of Science and ICT, December 2021 - June 2022
  • Dr. Oh-seok Kwon, DGIST, October 2020 - July 2021
  • Dr. Hyun Lee, Sun Moon University, July 2019 - May 2020
  • Ms. 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
  • Dr. Tesfaye B. Mersha, Professor, Indiana University School of Medicine
  • Dr. Jichao Chen, Professor, Department of Pediatrics, Cincinnati Children's Hospital Medical Center
  • Dr. Jung Wook Yang and Dr. Dae-Hyun Song, Department of Pathology, Gyeonsang National University School of Medicine
  • Dr. Tae-Jin Oh, Department of Pharmaceutical Engineering and Biotechnology, Sun Moon University
  • Dr. Jun-Hyuk Lee, Korea Polar Research Institute
  • Dr. Jae-Yeol Joo, College of Pharmacy, Hanyang University

Former students

Postdoc

  • Youngsoon Kim, Ph.D, Postdoc at Jul. 2017 - Jul. 2019
    - First job: Tenure-track 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

  • Louis Dumontet, (Aug. 2022 - May. 2026), Ph.D. in Computer Science
    - First job: AI Computational Data Scientist in the Department of Genomic Medicine at The University of Texas MD Anderson Cancer Center in Houston
    - Dissertation: Interpretable deep learning models for trustworthy prediction of enzyme functions
    - Funded from MOF, The College of Engineering at UNLV
    - Publications in Nature Communications, Applied and Environmental Microbiology, npj Artificial Intelligence
  • Euiseong Ko, (Jan. 2020 - Dec. 2025), Ph.D. in Computer Science
    - First job: Postdoc at UAB Medical School
    - Dissertation: Fairness-aware Interpretable AI in Bioinformatics and Healthcare
    - Award: Outstanding Dissertation
    - Funded from UNLV Engineering Fellowship, MW CTR-IN, CMS, The College of Engineering at UNLV
    - Publications in Briefings in Bioinformatics, ISBM, PNAS
  • Avinash Yaganapu, (Aug. 2020 - Dec. 2025), Ph.D. in Computer Science
    - First job: Postdoc at UNLV
    - Dissertation: Interpretable Weakly Supervised Learning with Incomplete Data
    - Funded from NASA, IITP, The College of Engineering at UNLV
    - Publications in Computer Vision and Image Understanding, Aging Advances
  • Sai Kosaraju, (Aug. 2019 - Jul. 2024), Ph.D. in Computer Science
    - First job: Tenure-track Assistant Professor at Cal Poly Pomona
    - Dissertation: Interpretable and evidential deep learning for medical image analysis
    - Funded from UNLV Top Tier Doctoral Graduate Research Assistantship
    - Publications in Briefings in Bioinformatics, Scientific Reports, Methods, PSB, IEEE BIBM, and ICDAR
  • Jie Hao, (Aug. 2017 - Jul. 2019), Ph.D. in Analytics and Data Science
    - First job: 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

  • Daniel Witoslawski (Co-advised with Dr. Mira Han), M.S. in Computer Science, Aug. 2024 - Jul. 2026
    Pursuing his Ph.D. at the University of Nevada Las Vegas
    Thesis: Predicting alternative transcription start site (tss) usage: understanding the ’language’ of transcriptional regulation
  • Suhyeong Jeon, M.S. in Computer Science, Aug. 2024 - Jul. 2026
    Pursuing his Ph.D. at the University of North Dakota
    Thesis: IDF-EC: Interpretable Dynamic Feature–Logit Fusion for Enzyme Commission Number Prediction
    Publication: ACM BCB 2026
  • Eunyoung Jang, M.S. in Computer Science, Aug. 2022 - Jul. 2024
    Pursuing her Ph.D. at the University of Nevada, Las Vegas
    Thesis: Scoring single-sample pathway expression level using graph autoencoder
  • Shizhao Wang, M.S. in Computer Science, Jan. 2023 - May. 2024
    Thesis: AFB detecting and reinforcement learning
  • Simbarashe Sithole, M.S. in Computer Science, Jan. 2023 - Dec. 2023
    Thesis: Unsupervised semantic image segmentation
  • 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

  • Daniel Witoslawski (Dec. 2023 - Jul. 2024), B.S. in Computer Science at UNLV
    Pursuing his master. at the University of Nevada, Las Vegas
    Research interests: Machine Learning and Software development
  • Stacey Lai (Oct. 2022 - Jun. 2023), B.S. in Computer Science at UNLV
    Research interests: Software development in Bioinformatics
  • 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

  • Jaehee Park, Jan. 2025 - May. 2025, Undergrduate student at Korea Aerospace University
    - Research project: AI for Enzyme comission number prediction
  • Seungeun Lee, Master student at Hanyang University, ERICA, Jul. 2023 - Apr. 2024
    Project: Data integration to predict Extracorporeal membrane oxygenation (ECMO) ejection fraction
  • Ary Mothieu, Master student at EFREI Paris, Aug. 2023 - Dec. 2023
    Project: Web development for the ECPICK project
  • SeongJae Nam, Undergraduate student at Korea Univ. at Sejong, Apr. 2023 - Nov. 2023
    Project: Las Vegas eviction data analysis
  • Valentin Roy, Master student at EFREI Paris, Aug. 2022 - Mar. 2023
  • Bastien Dalifard, Master student at EFREI Paris, Aug. 2022 - Mar. 2023
  • 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 Dumontet, 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