Faculty Profiles

Colleges and Departments

Dr. Chul-Ho Lee

  • Associate Professor - Computer Science
Portrait of Dr. Chul-Ho Lee

Biography and education

I am currently an Associate Professor in the Department of Computer Science at Texas State University, San Marcos, TX. Prior to joining Texas State, I was an Assistant Professor in the Department of Computer Engineering and Sciences (now the Department of Electrical Engineering and Computer Science) at the Florida Institute of Technology, Melbourne, FL, and a Senior Research Engineer at Samsung Electronics DMC R&D Center (now Samsung Research), South Korea. I received my Ph.D. degree in Computer Engineering from North Carolina State University, Raleigh, NC. My research interests are in network/data science, machine learning, networking, and systems. My recent research focuses on (1) developing efficient algorithms and computational tools for large-scale graph mining and network analysis, and (2) leveraging and advancing machine learning techniques for mobile, IoT and other applications. My research has been supported by funding agencies and industry partners including the National Science Foundation, NVIDIA, and SK Hynix America.

Teaching Interests

Research Interests

  • Lee, Chul-Ho (Principal). Collaborative Research: CNS Core: Small: Closing the Theory-Practice Gap in Understanding and Combating Epidemic Spreading on Resource-Constrained Large-Scale Networks, National Science Foundation (NSF), Federal, $249999. (Funded: October 1, 2020 - September 30, 2025). Grant.
  • Lee, Chul-Ho (Principal). III: Small: Collaborative Research: Cost-Efficient Sampling and Estimation from Large-Scale Networks, National Science Foundation (NSF), Federal, $249999. (Funded: October 1, 2019 - September 30, 2024). Grant.
  • Lee, Chul-Ho (Principal). Remaining Useful Life Estimation and State Diagnosis of Lithium-Ion Battery using Neural Architecture Search and TinyML, Sungkyunkwan University, International, $102292.02. (Funded: May 1, 2024 - April 30, 2027). Grant.
  • Lee, Chul-Ho (Principal), Lee, Young Ju (Co-Principal). Scalable and Efficient Fair Graph Clustering, Texas State Center for Analytics and Data Science (TXST CADS), Texas State University, $6000. (Submitted: December 2023, Funded: January 2024 - December 2024). Grant.
  • Metsis, Vangelis (Principal), Ngu, Hee Hiong (Co-Principal), Guirguis, Mina S (Supporting), Qasem, Apan Muhammad (Supporting), Hou, Tao (Supporting), Lee, Chul Ho (Supporting), Rathore, Heena (Supporting), Wang, Lu (Supporting). High Performance Computing GPU Server for Machine Learning Research, Materials Application Research Center (MARC), Texas State University, $49512. (Submitted: September 7, 2022, Funded: 2022 - 2023). Grant.
View all grants
  • Yu, Z., Wu, J., Wu, Z., Zhong, S., Su, W., Lee, C.-H., & Zhuo, W. (n.d.). TAMI: Taming Heterogeneity in Temporal Interactions for Temporal Graph Link Prediction. In Proceedings of Advances in Neural Information Processing Systems 39: Annual Conference on Neural Information Processing Systems 2025 (NeurIPS 2025) (pp. 1–33).
  • Huang, X., & Lee, C.-H. (2025). Demystifying Distributed Training of Graph Neural Networks for Link Prediction. In Proceedings of 2025 IEEE 45th International Conference on Distributed Computing Systems (ICDCS) (pp. 199–209). IEEE.
  • Li, S., Huang, X., & Lee, C.-H. (2021). An Efficient and Scalable Algorithm for Estimating Kemeny’s Constant of a Markov Chain on Large Graphs. In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) (pp. 964–974). ACM.
  • Lee, C.-H., Tenneti, S., & Eun, D. Y. (2019). Transient Dynamics of Epidemic Spreading and Its Mitigation on Large Networks. In Proceedings of the Twentieth ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc) (pp. 191–200). ACM.
  • Lee, C.-H., Xu, X., & Eun, D. Y. (2012). Beyond Random Walk and Metropolis-Hastings Samplers: Why You Should Not Backtrack for Unbiased Graph Sampling. In Proceedings of the 2012 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS) (pp. 319–330). ACM.
View all scholarly/creative works
  • Award / Honor Recipient: Applied Research Accelerator Award, NVIDIA Corporation. March 2022
  • Award / Honor Nominee: Best Paper Award, ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc 2019). July 2019
  • Award / Honor Recipient: College Achievement Award for Excellence in Scholarly/Creative Activities, College of Science and Engineering, Texas State University. October 2024
  • Award / Honor Recipient: Best Reviewer Award, 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024). August 2024
  • Award / Honor Recipient: CADS Innovation Seed Award, Texas State Center for Analytics and Data Science. January 2024
View all awards
  1. Editor

    IEEE Transactions on Network Science and Engineering

  2. Co-Chair

    Ph.D. Forum, IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)

  3. Co-Chair

    Algorithms & Theory Track, IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS)

  4. Member

    Policy and Procedure Committee

  5. Member

    PhD Program Committee

  6. Editorial Review Board Member

    Elsevier Computer Communications

  7. View all activities