- 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

Research interests: Machine Learning, Deep Learning, Medical Image Analysis, Bioinformatics
funded from UNLV Top Tier Doctoral Graduate Research Assistantship
Aug. 2019 - Present, Ph.D. student in Computer Science, University of Nevada, Las Vegas

Euiseong Ko

Research interests: Machine Learning and Deep Learning in Bioinformatics
funded from UNLV Engineering Fellowship, MW CTR-IN
Jan. 2020 - Present, Ph.D. student in Computer Science, University of Nevada, Las Vegas

Avinash Yaganapu

Research interests: Deep Learning and Computer Vision
funded from NASA, IITP
Aug. 2020 - Present, Ph.D. student in Computer Science, University of Nevada, Las Vegas

Sayyed-Ahmad Naghavi-Nozad

Research interests: Deep Learning in Bioinformatics
Aug. 2021 - Present, Ph.D. student in Computer Science, University of Nevada, Las Vegas

Simbarashe Sithole

Research interests: Deep Learning in Bioinformatics
Jan. 2022 - Present, Ph.D. student in Computer Science, University of Nevada, Las Vegas

Tejaswini Mallavarapu (Co-advising with Dr. Junggab Son)

Research interests: Machine Learning, Deep Learning, and Bioinformatics
Aug. 2018 - Present, Ph.D. student in Analytics and Data Science, Kennesaw State University

- Master students

Pardis Sadatian Moghaddam

Research interests: Survival analysis using pathological images
January 2022 - Present, MS student in Computer Science, University of Nevada, Las Vegas

Nicholas Lower

Research interests: Smart healthcare system
October 2021 - Present, MS student in Computer Science, University of Nevada, Las Vegas

- Undergraduate students

Cameron-Keokolo Tabion

Research interests: Machine Learning and Software development
funded from NV INBRE Undergraduate Research Scholarship and NIHAN
Jan. 2020 - Present, Undergraduate student in Computer Science, University of Nevada, Las Vegas

Cedric Men

Research interests: Machine Learning and Software development
funded from NIHAN
Oct. 2021 - Present, Undergraduate student in Computer Science, University of Nevada, Las Vegas

- Visiting Students


Kyungmin Jung

Research interests: Plastic Biodegradation classification using Deep Learning
funded from Institute for Information and Communications Technology Promotion (IITP)
Jan. 2022 - Present, Master student at Sun Moon University

Woohaeng Lee

Research interests: Bioremediation and Secondary metabolites
funded from Institute for Information and Communications Technology Promotion (IITP)
Jan. 2021 - Present, Master student at Sun Moon University

Jisub Hwang

Research interests: Antibiotic Resistance Gene (ARG) prediction of microorganisms
funded from Institute for Information and Communications Technology Promotion (IITP)
Sep. 2021 - Present, Ph.D. student at University of Science and Technology, Korea Polar Research Institute

Solene Vassent

Research interests: Interpretable AI
Nov. 2021 - Present, MS student at EFREI Paris

Alexandre Messika

Research interests: Whole-Slide Image Processing
Nov. 2021 - Present, MS student at EFREI Paris

Kihwa Kim

Research interests: CYP classification using Deep Learning
funded from Institute for Information and Communications Technology Promotion (IITP)
Sep. 2021 - Present, Ph.D. student at Sun Moon University

Byeollee Kim

Research interests: Secondary metabolite and Bioinformatics
funded from Institute for Information and Communications Technology Promotion (IITP)
Sep. 2021 - Present, Ph.D. student at Sun Moon University

Juyeon Park

Research interests: Bioinformatics
funded from Institute for Information and Communications Technology Promotion (IITP)
Sep. 2021 - Present, M.S. student at Sun Moon University

- Visting scholars

  • 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 and Dr. Donghyun Kim, Department of Computer Science, Kennesaw State University
  • Dr. Jae-Yeol Joo, Neurodegenerative Disease Research Group, Korea Brain Research Institute (KBRI)
  • Dr. Tae-Jin Oh, Department of Pharmaceutical Engineering and Biotechnology, Sun Moon University

- 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

  • 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

  • Eunhye (Amy) Kim (July, 2019), B.S. in Computer Science
    Pursuing her master at Kennesaw State University
  • Kathelyn Zelaya (Dec, 2017), B.S. in Computer Science
    First job: Panasonic Automotive in Peachtree city, GA

- Internships

  • 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