DataXLab.org

- 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/

- PhD 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
Jan. 2020 - 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

Avinash Yaganapu

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

- Master students

Manjari Ganapathy

Research interests: Machine Learning and Federated AI
July 2020 - 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

Sam Vinh

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

- Visiting Students


Adem Betina

Research interests: Whole-Slide Image Processing
Oct. 2020 - Present, MS student at EFREI Paris

- Visting scholars

  • Oh-seok Kwon, DGIST, Oct 2020 - Present
  • 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. Eunjung (Alice) Lee, Division of Genetics and Genomics, Boston Children's Hospital & Harvard Medical School
  • Dr. Tesfaye B. Mersha, Associate Professor, Cincinnati Children’s Hospital Medical Center and University of Cincinnati
  • Dr. Hyun Min Koh, Department of Pathology, Gyeongsang National University Changwon Hospital
  • 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

- Alumni

  • Jeongmin Lee, Visiting scholar (from Sun Moon University), Sep. 2020 - Feb. 2021
    Project: Enzyme Commission Number Prediction
    Supported by Institute for Information and Communications Technology Promotion (IITP)
  • Mingyu Park, Visiting scholar (from Sun Moon University), Feb. 2019 - Nov. 2020
    Project: Enzyme Commission Number Prediction
    Supported by Institute for Information and Communications Technology Promotion (IITP)
  • Jongkwon Jo, Visiting scholar (from 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, Visiting scholar (from Sun Moon University), Sep. 2019 - May 2020
    Project: Enzyme Comission Number Prediction
    Supported by Institute for Information and Communications Technology Promotion (IITP)
  • Taejin Hyun, Visiting scholar (from Gyeongsang National University), Sep. 2019 - May 2020
    Project: Genes to Pathway
    Supported by Institute for Information and Communications Technology Promotion (IITP)
  • Seung Ha Jung, Visiting scholar (from Gyeongsang National University), Sep. 2019 - May 2020
    Project: Spark in Hi-LASSO
    Supported by Institute for Information and Communications Technology Promotion (IITP)
  • Youngsoon Kim, Ph.D, Postdoc at Jul. 2017 - Jul. 2019
    First job: Assistant Professor at Gyeongsang National University
  • Jie Hao, (Jul. 2019), Ph.D. in Analytics and Data Science
    Pursuing her Postdoctoral Fellow at the University of Pennsylvania
    Dissertation: Biologically Interpretable, Integrative Deep Learning For Cancer Survival Analysis
  • 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
  • Nelson Zange Tsaku (July, 2019), M.S. in Computer Science
    First job: Competitive Intelligence Analyst at SITA
    Thesis: Texture-based Deep Neural Network for Histopathology Cancer Whole Slide Image (WSI) Classification
  • Eunhye (Amy) Kim (July, 2019), B.S. in Computer Science
    Pursuing her master at Kennesaw State University
  • 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
  • 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
  • Kritika Garg (July, 2018), M.S. in Computer Science
    First job:TBA
    Project: Face/Gender/Age recognition with CNN on mobile
  • Seoyoon Park (July, 2018), Undergraduate Internship (from Hankuk University of Foreign Studies (HUFS))
    Project: Motion Detection
  • Kathelyn Zelaya (Dec, 2017), B.S. in Computer Science
    First job: Panasonic Automotive in Peachtree city, GA
  • 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
  • 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