Tennessee Technological University
Terry Guo is a research professor with more than 30 years of industrial and academic experience in wireless communications, data and information science, and RF systems. He has authored/co-authored over 100 peer-reviewed articles, and has done analytical work and complex proof-of-concept prototyping in many private and government-sponsored projects. His recent research interests include Integrated Sensing and Communication (ISaC), spectrum sharing, and cyber-physical system (CPS) security.
Selected Publications and Working Papers
-
A. Solanki, W. Al Amiri, M. Mahmoud, B. Swieder, S.R. Hasan, and T. Guo, “Survey of Navigational Perception Sensors’ Security in Autonomous Vehicles,” IEEE Access, Vol. 13, Jun. 2025, pp. 104937 – 104965.
-
T. Guo, Adaptive NC-OFDM Waveforms With Reduced Autocorrelation Sidelobes For Simultaneous Sensing and Communications," ICC 2025.
-
W. Al Amiri, T. Guo, and A. MacKenzie, “Hybrid Model and Data Driven WiFi Sensing Using Data-Traffic-Informed Augmentation," ICC 2025.
-
W. Amiri, T. Guo, and A. MacKenzie, "Precise Carrier-Phase-Based Ranging and Motion Detection By Reusing OFDM Data Subcarriers: Analysis and Demonstration," IEEE Transactions on Vehicular Technology, December 2024.
-
T. Guo, “Closed-Form Performance of Receiver Beamformer Driven by Imperfect Clock Distribution Circuit,” IEEE VTC fall 2024.
-
T. Guo and H. Li, “Secure Integrated Sensing and Communications (S-ISAC) Network,” IEEE VTC fall 2024.
-
W. Al Amiri, T. Guo, and A. MacKenzie, “Opportunistic WiFi Spectrum Reuse for Car Density Estimation,” IEEE VTC fall 2024.
-
T. Guo, “Optimal Application Allocation and Wireless User Association for Robust Edge Computing,” IEEE ISVLSI 2024.
-
W. Amiri, T. Guo, and A. MacKenzie, "Efficient Road Traffic Estimation for Proactive Beam Allocation in an ISAC Setup," IEEE Access, Vol. 12, June 2024.
-
T. Guo, "Exploring Physical-Layer Anti-Privacy-Theft Capacity in Wireless Network," IEEE ICC'24, June 2024.
-
T. Guo, et at, "Precise Phase-Based Ranging and Motion Detection For IoT By Reusing OFDM Data Subcarriers," IEEE Globecom'23.
-
T. Guo, "Digital Twin Enabled Q-Learning for Flying Base Station Placement: Impact of Varying Environment and Model Errors," 2023 IEEE 26th International Symposium on Real-Time Distributed Computing (ISORC).
-
T. Guo, H. Li, and A. MacKenzie, "Efficient and Secure Spectrum Utilization for Communication & Sensing in UDN by Beamspace Processing," IEEE Globecom 2022, pp.1501-1506.
-
X. Li, T. Guo, and A. MacKenzie, "Multi-Agent Reinforcement Learning With Measured Difference Reward for Multi-Association in Ultra-Dense mmWave Network," IEEE Access, Vol. 10, Nov. 2022, pp.118747-118758.
-
T. Guo, “Robust Q-learning for Fast And Optimal Flying Base Station Placement Aided By Digital Twin For Emergency Use,” IEEE VTC fall 2022.
-
T. Guo, H. Mohammed, and S. Hasan, “Edge Intelligence in Mobile Nodes: Opportunistic Pipeline via 5G D2D for On-site Sensing,” IEEE VTC fall 2022.
-
T. Guo, "Integration of Aerial-Relay-Based Network With Terrestrial Network Towards B5G/6G Evolution,” IEEE VTC fall 2022.
-
T. Guo, "Connectivity-Aware Fast Network Forming Aided By Digital Twin For Emergency Use," IEEE Infocom 2022.
-
T. Guo, H. Li, and A. MacKenzie, "Interferometry Based Integrated Sensing and Communications with Imperfect Synchronizations," IEEE Globecom 2021.
