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Terry Guo, Research Professor

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.

Bulletin

I have a few open research positions in the field of cyber-physical systems with application to security of connected and autonomous vehicles. These positions are at Tennessee Technological University, and will provide candidates with opportunities to interface with researchers working in the following areas:

  1. Zero-trust security related to perception sensors (RADAR, LiDAR, GPS, cameras and acoustic sensors) used in autonomous vehicles;

  2. Integrated Sensing and Communication (ISaC), including mmWave communication and sensing;

  3. 6G communications.

If you are interested, please drop me a message with your CV.

Selected Publications and Working Papers

  1. A. Solanki, W. Al Amiri, M. Mahmoud, B. Swieder, S.R. Hasan, T. Guo, “Survey of Navigational Perception Sensors’ Security in Autonomous Vehicles,” IEEE Access, Vol. 13, Jun. 2025, pp. 104937 – 104965.

  2. T. Guo, Adaptive NC-OFDM Waveforms With Reduced Autocorrelation Sidelobes For Simultaneous Sensing and Communications," ICC 2025.

  3. W. Al Amiri, T. Guo, and A. MacKenzie, “Hybrid Model and Data Driven WiFi Sensing Using Data-Traffic-Informed Augmentation," ICC 2025.

  4. 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.

  5. T. Guo, “Closed-Form Performance of Receiver Beamformer Driven by Imperfect Clock Distribution Circuit,” IEEE VTC fall 2024.

  6. T. Guo and H. Li, “Secure Integrated Sensing and Communications (S-ISAC) Network,” IEEE VTC fall 2024.

  7. W. Al Amiri, T. Guo, and A. MacKenzie, “Opportunistic WiFi Spectrum Reuse for Car Density Estimation,” IEEE VTC fall 2024.

  8. T. Guo, “Optimal Application Allocation and Wireless User Association for Robust Edge Computing,” IEEE ISVLSI 2024.

  9. 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.

  10. T. Guo, "Exploring Physical-Layer Anti-Privacy-Theft Capacity in Wireless Network," IEEE ICC'24, June 2024.

  11. T. Guo, et at, "Precise Phase-Based Ranging and Motion Detection For IoT By Reusing OFDM Data Subcarriers," IEEE Globecom'23.

  12. 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). 

  13. 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.

  14. 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. 

  15. T. Guo, “Robust Q-learning for Fast And Optimal Flying Base Station Placement Aided By Digital Twin For Emergency Use,” IEEE VTC fall 2022.

  16. 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.

  17. T. Guo, "Integration of Aerial-Relay-Based Network With Terrestrial Network Towards B5G/6G Evolution,” IEEE VTC fall 2022.

  18. T. Guo, "Connectivity-Aware Fast Network Forming Aided By Digital Twin For Emergency Use," IEEE Infocom 2022.

  19. T. Guo, H. Li and A. MacKenzie, "Interferometry Based Integrated Sensing and Communications with Imperfect Synchronizations," IEEE Globecom 2021.

NSF AWARD and FUNDING INFORMATION

Award Number (FAIN): 2135275
Award Instrument: Standard Grant
Award Date: 08/05/2021
Award Period of Performance:   
Start Date: 08/15/2021     End Date: 07/31/2024
Project Title: Collaborative Research: Sensing by Leveraging Cellular Communication Networks: A Framework of Medium Distance Baseline Interferometry
Managing Division Abbreviation: ECCS
Research and Development Award: Yes
Funding Opportunity: PD 18-7564 Communications, Circuits, and Sensing-Systems
CFDA Number and Name: 47.041 Engineering Grants

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Amount Obligated by this Amendment: $200,000
Total Intended Award Amount: $200,000
Total Approved Cost Share or Matching Amount: $0
Total Amount Obligated to Date: $200,000
Expenditure Limitation: Not Applicable

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