Biography and expertise
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.
Education
Doctorate Degree
PhD in Computer Engineering
North Carolina State University, 2012
Teaching Interests
Research Interests
Intellectual Property
Patents
- “Device and method for receiving streaming service data in mobile communication system supporting plurality of radio access interfaces.” Jin-Hyoung Kim, Chul-Ho Lee, Jiangwei Xu, Krishna Singh, Jin-Ho Lee. Regular, #US 11,252,595 B2.
Date awarded: 02/15/2022 - “Streaming service data receiving device and method in mobile communication system for supporting plurality of radio access interfaces.” Chul-Ho Lee, Namasivayam Ganapathy, Jin-Hyoung Kim, Yongseok Park, Jin-Ho Lee. Regular, #US 11,159,594 B2.
Date awarded: 10/26/2021 - “Device and method for accessing multiple networks in wireless communication system.” Jin-Hyoung Kim, Chul-Ho Lee, Jiangwei Xu, Jin-Ho Lee. Regular, #US 10,785,713 B2.
Date awarded: 09/22/2020 - “Device and method for receiving streaming service data in mobile communication system supporting plurality of radio access interfaces.” Jin-Hyoung Kim, Chul-Ho Lee, Jiangwei Xu, Krishna Singh, Jin-Ho Lee. Regular, #US 10,728,792 B2.
Date awarded: 07/28/2020 - “Apparatus and method for uploading data in mobile communication system supporting a plurality of radio access interfaces.” Hyun-Joo Lee, Chul-Ho Lee, Jin-Hyoung Kim, Yongseok Park, Jin-Ho Lee, Joon-Young Choi. Regular, #US 10,356,000 B2.
Date awarded: 07/16/2019 - “Method and apparatus for HTTP adaptive streaming in wireless network environment.” Yun-Min Go, Hwang-Jun Song, Oh-Chan Kwon, Yongseok Park, Do-Jun Byun, Chul-Ho Lee. Regular, #US 10,111,171 B2.
Date awarded: 10/23/2018

Featured grants
- Yeon, Jung Heum (Principal), Lee, Chul Ho (Co-Principal). Data-Driven Assessment of Rigid Pavement Vulnerability in Texas Coastal Regions, USDOT (UTC CREATE), $88450. (Submitted: September 2025, Funded: January 1, 2026 - June 30, 2027). Grant.
- 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.

Featured scholarly/creative works
- Zhao, L., Nke, J., Kim, J., & Lee, C.-H. (n.d.). FROST: Accelerating Temporal Graph Neural Network Training via a Unified Multi-GPU Framework. Proceedings of the ACM on Management of Data (SIGMOD), 4, 1–20.
- Nke, J., Kang, S., Rees, B., & Lee, C.-H. (2026). cuMIS: A Unified Scalable Framework for Computing Maximal Independent Sets on Trillion-Edge Graphs. In Proceedings of the 40th ACM International Conference on Supercomputing (ICS) (pp. 699–713). ACM.
- Vuong, M. P., Lee, J., Lee, Y. J., & Lee, C.-H. (2026). Riemannian Optimization for Fair Spectral Clustering. In Proceedings of the 43rd International Conference on Machine Learning (ICML) (pp. 1–12). PMLR.
- Yu, Z., Wu, J., Wu, Z., Zhong, S., Su, W., Lee, C.-H., & Zhuo, W. (2025). TAMI: Taming Heterogeneity in Temporal Interactions for Temporal Graph Link Prediction. In Proceedings of Advances in Neural Information Processing Systems 38 (NeurIPS 2025) (pp. 117623–117657). Curran Associates.
- 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.
Featured awards
- 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: Silver Reviewer, Forty-Third International Conference on Machine Learning (ICML 2026). May 2026
- Award / Honor Recipient: Distinguished Member of the INFOCOM 2026 Technical Program Committee, IEEE Communications Society. December 2025
- Award / Honor Recipient: College Achievement Award for Excellence in Scholarly/Creative Activities, College of Science and Engineering, Texas State University. October 2024

Featured service activities
- Co-Chair
Ph.D. Forum, IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM)
- Editor
IEEE Transactions on Network Science and Engineering
- Co-Chair
Algorithms & Theory Track, IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS)
- Chair
Policy and Procedure Committee
- Member
Award Nomination Committee
- Member
Resource Committee
