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Tennessee Technological University

Terry Guo is a research professor with more than 25 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 projects. His recent research interests include joint communication and sensing (JC&S) or integrated sensing and communication (ISAC), 5G & Beyond, industrial IoT, and cyber-physical system 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. Private 5G network security;

  2. mmWave communication and sensing;

  3. Integration of multiple functionalities, such as sensing, communication, control and wireless power transfer;

  4. Cyber security relating to sensors (RADAR, LIDAR, cameras and acoustic sensors) used in autonomous vehicles;

  5. Zero-trust security of cyber-physical systems;

  6. Distributed edge intelligence leveraged by opportunistic networking and computing;

  7. Proof-of-concept prototyping.

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

Selected Publications and Working Papers

  1. T. Guo, "Exploring Physical-Layer Anti-Privacy-Theft Capacity in Wireless Network," accepted by IEEE ICC'24

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

  3. Wesam Al Amiri, Omar Abdelsalam, James Jones, T. Guo and A. Mackenzie, "Signals of Opportunity for Car Density Estimation with Limited Training Data," ISNCC 2023.

  4. Wesam Al Amiri, T. Guo and A. Mackenzie, "Road Traffic Density Estimation For Adaptive Beam Allocation in an ISAC Setup," ISNCC 2023.

  5. 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). 

  6. 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.

  7. 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. 

  8. 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.

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

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

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

  12. Y. Liu, T. Guo, Z. Chen and X. Jiang, “Efficient Attribute-Based Smart Contract Access Control Enhanced by Reputation Assessment,” arXiv, July 2021.

  13. Y. Yao, T. N. Guo, Z. Chen, and C. Fu, “A Fast Multi-Source Sound DOA Estimator Considering Colored Noise in Circular Array,” IEEE Sensors Journal, Vol. 19, No. 16, Aug. 15, 2019, pp. 6914-6926.

  14. T. Guo, A. Dahal and A. Siraj, “Precise Feature Selection and Case Study of Intrusion Detection in an Industrial Control System (ICS) Environment,” 15th International Conference on Machine Learning and Data Mining (MLDM 2019), July 20-25, 2019.

  15. T. Guo, D. Khoo, M. Coultis, M. Pazos-Revilla and A. Siraj, “IoT Platform for Engineering Education and Research (IoT PEER)–Applications in Secure and Smart Manufacturing,” 2018 ACM/IEEE International Conference on Internet of Things Design and Implementation (IoTDI), Orlando, FL, 17-20 April 2018.

  16. T. Guo, “Unique Measurement and Modeling of Total Phase Noise in RF Receiver,” IEEE Transactions on Circuits and Systems II: Express Briefs, Express Briefs, vol. 60, no. 5, pp.262-266, May 2013.

  17. Y. Song, T. N. Guo, R. C. Qiu, M. C. Wicks, "Real Time UWB MIMO System with Programmable Transmit Waveforms: Architecture, Algorithms and Demonstrations," IEEE Transactions on Antennas and Propagation, vol. 60, no. 8, pp.3933-3940, 2012.

  18. Z. Zhen, N. Guo and R.C. Qiu, “Demonstration of Real-time Spectrum Sensing for Cognitive Radio,” IEEE Communications Letters, vol. 14, no. 10, pp. 915-917, Oct. 2010.

  19. N. Guo, R. C. Qiu, S. S. Mo and K. Takahashi, “60-GHz millimeter-wave radio: principle, technology and new results (invited paper),” EURASIP Journal on Wireless Communications and Networking, vol. 2007, pp.1-8, Jan. 2007.

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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