Dr. Tan Le

Assistant Professor of Electrical and Computer Engineering

Location:  Olin 318H

Phone: (757) 728-4858

Email: tan.le@hamptonu.edu  

Expertise: AI/ML, Internet of Things, NextG Networks, Cyber Security and Privacy.

Education: Ph.D. Electrical and Computer Engineering, University of Quebec, 2016

Personal Webpage: https://sites.google.com/site/thanhtantp




Tan Le was a Research Assistant Professor with the Virginia Modeling, Analysis and Simulation Center (VMASC), Old Dominion University (ODU), Suffolk, VA, USA, and is now an assistant professor with Hampton University (HU), Hampton, VA, USA. He received his B.Eng. and M.Eng. degrees from Ho Chi Minh University of Technology in 2002 and 2004, respectively and his Ph.D. degree from University of Quebec in 2015. His research focuses on artificial intelligence, machine learning, cybersecurity, internet of things, vehicular networks, blockchain, 5G and beyond network, smart healthcare, edge/fog/cloud computing and software defined networking. He has accumulated solid working experiences of both industry and academic institutions relevant to cybersecurity. He oversees many essential research directions to contribute to the future development of cybersecurity. He recently worked on the team to develop an integrated secure and privacy preserving 5G-empowered hyperconnected-vehicle platform that addresses secure mobility management, intrusion detection on the controller area network, privacy preserving data sharing and trust management. He also is working with ODU researchers to propose 5G and internet of things technology tailored to realize massive, low-latency and resilient infrastructure that will benefit and secure large numbers of Department of Defense mission-supporting devices.


Le, M. Reisslein and S. Shetty, “Multi-Timescale Actor-Critic Learning for Computing Resource Management With Semi-Markov Renewal Process Mobility,” in IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2023.3303953.

Le T, Shetty S. Artificial intelligence-aided privacy preserving trustworthy computation and communication in 5G-based IoT networks. Ad Hoc Networks. 2022 Mar 1;126:102752.

Wang, L. T. Tan, R. Q. Hu and Y. Qian, “Hierarchical Energy-Efficient Mobile-Edge Computing in IoT Networks,” in IEEE Internet of Things Journal, vol. 7, no. 12, pp. 11626-11639, Dec. 2020, doi: 10.1109/JIOT.2020.3000193.

T. Tan, R. Q. Hu and L. Hanzo, “Heterogeneous Networks Relying on Full-Duplex Relays and Mobility-Aware Probabilistic Caching,” in IEEE Transactions on Communications, vol. 67, no. 7, pp. 5037-5052, July 2019, doi: 10.1109/TCOMM.2019.2904506.

T. Tan, R. Q. Hu and L. Hanzo, “Twin-Timescale Artificial Intelligence Aided Mobility-Aware Edge Caching and Computing in Vehicular Networks,” in IEEE Transactions on Vehicular Technology, vol. 68, no. 4, pp. 3086-3099, April 2019, doi: 10.1109/TVT.2019.2893898.

T. Tan and R. Q. Hu, “Mobility-Aware Edge Caching and Computing in Vehicle Networks: A Deep Reinforcement Learning,” in IEEE Transactions on Vehicular Technology, vol. 67, no. 11, pp. 10190-10203, Nov. 2018, doi: 10.1109/TVT.2018.2867191.

T. Tan, R. Q. Hu and Y. Qian, “D2D Communications in Heterogeneous Networks With Full-Duplex Relays and Edge Caching,” in IEEE Transactions on Industrial Informatics, vol. 14, no. 10, pp. 4557-4567, Oct. 2018, doi: 10.1109/TII.2018.2855187.

F. Pervej, L. T. Tan and R. Q. Hu, “User Preference Learning-Aided Collaborative Edge Caching for Small Cell Networks,” GLOBECOM 2020 – 2020 IEEE Global Communications Conference, Taipei, Taiwan, 2020, pp. 1-6, doi: 10.1109/GLOBECOM42002.2020.9322208.

F. Pervej, L. T. Tan and R. Q. Hu, “Artificial Intelligence Assisted Collaborative Edge Caching in Small Cell Networks,” GLOBECOM 2020 – 2020 IEEE Global Communications Conference, Taipei, Taiwan, 2020, pp. 1-7, doi: 10.1109/GLOBECOM42002.2020.9322101.

Zahin, L. T. Tan and R. Q. Hu, “A Machine Learning Based Framework for the Smart Healthcare System,” 2020 Intermountain Engineering, Technology and Computing (IETC), Orem, UT, USA, 2020, pp. 1-6, doi: 10.1109/IETC47856.2020.9249126.

Zahin, A., Tan, L.T., Hu, R.Q. (2019). Sensor-Based Human Activity Recognition for Smart Healthcare: A Semi-supervised Machine Learning. In: Han, S., Ye, L., Meng, W. (eds) Artificial Intelligence for Communications and Networks. AICON 2019. https://doi.org/10.1007/978-3-030-22971-9_39.

Wang, L. T. Tan, R. Q. Hu and G. Wu, “Hierarchical Collaborative Cloud and Fog Computing in IoT Networks,” 2018 10th International Conference on Wireless Communications and Signal Processing (WCSP), Hangzhou, China, 2018, pp. 1-7, doi: 10.1109/WCSP.2018.8555866.