Terry Zhang Professor

• Ph.D. in Intelligent Transportation System, Rutgers University, 2022 May

• Master in Computer and Information Technology, University of Pennsylvania

• Master in Civil Engineering, Texas A&M University, College Station

• Bachelor of Science, Beijing Institute of Technology, Beijing

• Professor, Soochow University,05/2026 - Now

• Research Faculty, University of Tennessee at Chattanooga, 09/2023 - 09/2025

• Post-Doctoral Associate, Rutgers University- Camden, 06/2022 - 06/2023

• People’s Public Security University of China, 09/2011 - 05/2014

I am a Professor, Ph.D. Supervisor. Previously earned a Ph.D. from Rutgers, The State University of New Jersey, New Brunswick campus. Later conducted postdoctoral research at the Department of Applied Mathematics at the same university in collaboration with AMS Fellow Professor Benedetto Piccoli. Additionally, holds a Master's degree in Computer Science from the University of Pennsylvania. Prior to returning to China, served as an Associate Research Professor at the University of Tennessee at Chattanooga Research Institute (UTCRI). As an Investigator/Co-PI, participated in and led grant support from the United States Department of Transportation (USDOT) flagship projects, with a total amount of $8 million.

Has cumulatively published over 30 high-level academic papers in leading journals and top-tier conferences. Among these, representative works have been published in top journals in the field of Intelligent Transportation Systems (ITS), including Transportation Research Part B/C, IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Intelligent Vehicles, as well as the top journal in the field of civil construction informatization, Computer-Aided Civil and Infrastructure Engineering (CACAIE). Some research results have also been published in the traditional prestigious journal of the American Society of Civil Engineers (ASCE), Journal of Transportation Engineering, Part A: Systems, and the Transportation Research Board journal Transportation Research Record (TRR).

1. Intelligent Perception & Sensing: Application of Computer Vision, LiDAR, and drone-based remote sensing to collect high-resolution data to enable transportation research and innovations.

2. Smart Roadside Infrastructure:Connected Infrastructure Networks, Arterial Management Systems, and Vehicle-to-Everything (V2X) Communication.

3. AI-Driven Decision Making: Traffic Flow Simulation & Modeling, Connected and Automated Vehicle (CAV) Control, Intelligent traffic optimization. 

1. 09/2023 - 2026 Advanced Artificial Intelligence Research for Equitable Safety of Vulnerable Road Users

2. 06/2022 - 06/2023 MegaVander Test - I24MOTION, CIRCLES-Consortium

3. 06/2022 - 06/2023 C2SMART Center:

4. 08/2019 - 05/2022, Data City - Middlesex County Smart Mobility Testing Ground (SMTG)

5. 11/2019 – 05/2022, Real-Time Traffic Signal System Performance Measurement Phase II, New Jersey DOT

6. 12/2017 - 5/2019, Real-Time Traffic Signal Performance Measurement Phase Ⅰ, New Jersey DOT

7. 08/2019 – 08/2020, The Vehicle-Infrastructure Miniature and Virtualization Platform for Connected and Automated Mobility System, iFlytek. Inc

8. 01/2017 - 09/2018, Cloud Computing Based Traffic Video Data Analytics, CAIT-UTC

9. 09/2016 - 01/2017, Raised Pavement Marker (RPM) Project, New Jersey DOT

• Tianya Zhang, Xiunan Wang, Pengyuan Sun, Maged Shoman, Benedetto Piccoli, Peter J. Jin. Physics-Informed Graph Modeling for Traffic Shockwave Analysis Through Optimized Change-Point Detection. Transportation Research Part B: Methodological, Vol. 211, 2026, 103522.

• L. Guo et al., Position Encoding in Detection-Based LiDAR–Camera Matching: A Diagnostic Study At Infrastructure Sites, in IEEE Sensors Letters, vol. 10, no. 8, pp. 6007404-6007404, Aug. 2026, Art no. 6007404, doi: 10.1109/LSENS.2026.3708462.
  

• L. Cheng et al., “CalibRefine: Deep Learning-Based Online Automatic Targetless LiDAR–Camera Calibration With Iterative and Attention-Driven Post-Refinement,” in IEEE Transactions on Instrumentation and Measurement, vol. 75, pp. 1-18, 2026, Art no. 9500418, doi: 10.1109/TIM.2025.3647989.

• Yi Ge, Peter J. Jin, Tianya Terry Zhang. Roadside CCTV Traffic Sensor Coverage and Spatial Accuracy Analysis with Line-of-Sight Simulation over 3D Digital Surface Model. Transportation Research Record.

• Chen, A., Jin, P. J., & Zhang, T. T. LiDAR Vehicle Trajectory Reconstruction with Arterial Shockwave Detection and Space–Time Analysis. Transportation Research Record, 0(0).

• Tianya Zhang, Lei Cheng, Tam Bang, Lihao Guo, Mustafa Hajij, Siyang Cao, Austin Harris, and Mina Sartipi. Roadside Sensor Systems for Vulnerable Road User Protection: A Review of Methods and Applications，in IEEE Access, vol. 13, pp. 62717-62738, 2025, doi: 10.1109/ACCESS.2025.3558174. 

• T. T. Zhang, Network Level Spatial Temporal Traffic Forecasting with Hierarchical-Attention-LSTM, In Digital Transportation and Safety 3(4): 240−252.

• T. T. Zhang, Yi Ge, Anjiang Chen, Mina Sartipi, P. J. Jin, “Hash-based Gaussian Mixture Model for Roadside LiDAR Smart Infrastructure Application,” In IEEE Transactions on Intelligent Transportation Systems. 10.1109/TITS.2024.3434749.

• T. T. Zhang, P. J. Jin, S. T. McQuade, A. Bayen and B. Piccoli, “Car-Following Models: A Multidisciplinary Review,” in IEEE Transactions on Intelligent Vehicles, doi: 10.1109/TIV.2024.3409468.

• Tianya Terry Zhang, Peter J. Jin, Benedetto Piccoli, and Mina Sartipi. Deep spatial-temporal embedding for vehicle trajectory validation and refinement. Computer-Aided Civil and Infrastructure Engineering, 1–19.

• T. T. Zhang and P. J. Jin, “Segmentation is Tracking: Spatial-Temporal Map Vehicle Trajectory Reconstruction and Validation,” in IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2023.3299504.

• Yi Ge, Peter J. Jin, Tianya Zhang, Anjiang Chen. Roadside LiDAR Sensor Configuration Assessment and Optimization Methods for Vehicle Detection and Tracking in Connected and Automated Vehicle Applications. Transportation Research Record. 2023.

• Zhang, Tianya Terry, Peter J. Jin, Thomas M. Brennan Jr, Kelly McVeigh, Mohammad Jalayer, and Deep Patel. Arterial Vehicle Trajectory Reconstruction Based on Stop-Bar Video Sensor for Automated Traffic Signal Performance Measures. Journal of Transportation Engineering, Part A: Systems. 2022. DOI: 10.1061/JTEPBS.0000749

• Tianya Zhang, Peter J. Jin, “Roadside LiDAR Vehicle Detection and Tracking Using Range and Intensity Background Subtraction”, Journal of Advanced Transportation, vol. 2022, Article ID 2771085, 14 pages, 2022.

• Tianya Zhang, Peter Jin, Yi Ge, Ryhan Moghe, Xiaowen Jiang. Vehicle Detection and Tracking for 511 Traffic Cameras with U-Shaped Dual Attention Inception Neural Networks and Spatial-Temporal Map. Transportation Research Record. January 2022.

• Yi Ge, PJ Jin, Tianya Zhang, J Martinez. Enhanced Spatial–Temporal Map-Based Video Analytic Platform and Its Local- Versus Cloud-Based Deployment with Regional 511 Camera Network. Transportation Research Record. August 2021.

• Tianya Terry Zhang, Guo M, Jin PJ, Ge Y, Gong J. Longitudinal-Scanline-Based Arterial Traffic Video Analytics with Coordinate Transformation Assisted by 3D Infrastructure Data. Transportation Research Record. December 2020.

• Tianya Zhang, Peter J. Jin, A Longitudinal Scanline based Vehicle Trajectory Reconstruction Method for High-Angle Traffic Video, Transportation Research: Part C, 103, 104-128, June 2019.

Conferences

• Tianya Zhang, Big-Data-Application-for-Network-Level-Travel-Time-Prediction With Hierarchical LSTM. TRB 103th Annual Meeting, Washington, D.C., January 2024.

• Tianya Terry Zhang, Deep Patel, Yi Ge, Peter Jin, Anjiang Chen, Mohammad Jalayer, Multimodal Background Modeling for Roadside LiDAR Mobility and Safety Applications. TRB 102th Annual Meeting, Washington, D.C., January 2023

• Tianya Zhang, Peter Jin, McVeigh, K., Brennan, T. and Jalayer, M, Automating the Traffic Signal Performance Measures for Adaptive Traffic Signal Control System. TRB 100th Annual Meeting, Washington, D.C., January 2021.

• Tianya Zhang, Burris M, Jin PJ. Empirical Study of the Variation of Value of Travel Time and Reliability. TRB 96th Annual Meeting, Washington, D.C., January 2017.

• Tianya Zhang, & Ding, Limin. Traffic Safety Study Based on Harmony (HeXie) Theory. In International Conference on Transportation and Traffic Engineering 2013: Safety, Speediness, Intelligence, Low-Carbon, Innovation (pp. 600-606).

• Zhang T., Wang J. (2014) Human Reliability Analysis of Traffic Safety. In: Proceedings of the 13th International Conference on Man-Machine-Environment System Engineering. MMESE 2013. Lecture Notes in Electrical Engineering, vol 259. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38968-9_56

• Tianya Zhang, Limin Ding, Harmony Degree Analysis and Evaluation of Traffic Safety. Transactions of Beijing Institute of Technology, Vol.33 Suppl.1 Nov.2013.

• Jin, P.J., Zhang, T., Brennan, T.M., Jalayer, M., Wang, Y., Ge, Y., Chen, A. and Patel, D., 2022. Real-Time Traffic Signal System Performance Measurement Phase II: Data and Functionality Enhancement, Large Scale Deployment, Connected and Autonomous Vehicles Integration (No. FHWA NJ-2022-002). New Jersey. Department of Transportation. Bureau of Research.

• Jin, P.J., Wang, Y., Zhang, T., Ge, Y., Gong, J., Chen, A., Ahmad, N.S. and Geng, B., 2021. The Development of the Digital Twin Platform for Smart Mobility Systems With High-Resolution 3D Data (No. CAIT-UTC-REG45). Rutgers University. Center for Advanced Infrastructure and Transportation.

• Jin, P.J., Zhang, T., Wang, Y., Huang, Y., Anjum, K., Jafari, M. and Ge, Y., 2020. The Development of a Smart Intersection Mobility Testbed (SIMT).

• Jin P., Ge Y., Zhang T., Wang Y., Martinez J. (2019). Cloud-Based Virtual Traffic Sensor Network with 511 CCTV Traffic Video Streams. (Report No. CAIT-UTC-NC8). Rutgers: Center for Advanced Infrastructure and Transportation (CAIT).

• Jin, P., Zhang, T., Brennan, T. and Jalayer, M. (2019). Real-Time Signal Performance Measurement (RT-SPM) (Report No. FHWA-NJ-2019-002). Trenton: New Jersey Department of Transportation.

• Jin J, Ran B, Chen T, Jiang X, Zhang T, Yao Z, inventors; CAVH LLC, assignee. Cloud-based technology for connected and automated vehicle highway systems. United States patent application US 16/454,268.

• Jin J, Ran B, Chen T, Zhang T, Jiang X, Yao Z, inventors; CAVH LLC, assignee. Fixed-route service system for CAVH systems. United States patent application US 16/506,470. 2020 Jan 16.

• Jing Jin, Bobby Ouyang, Seyedamirali Ardestani, Yizhou Wang, Xiaowen Jiang, Tianya Zhang, Incident Site Investigation and Management System based on Unmanned Aerial Vehicles, U.S. Non-Provisional Patent Application No. 62/544,461, Publication Date: 14-Feb-2019.

• Cloud-based model deployment and control system (cmdcs) for providing automated driving services. U.S. Patent Application 18/779,372.

• 2024 Institutional Lead Award, IEEE ITS Society

• 2024 Research Implementation Award, NJ DOT

• 2022 SGS Conference Travel Awards, Rutgers University - New Brunswick

• 2021 Future of ITSNJ Award, ITS New Jersey

• 2021 Doctoral Academic Advancement Award, Rutgers University - New Brunswick

• 2020 Sweet Sixteen and Supplemental Categories High Value Research Projects, AASHTO

• 2018 Outstanding Graduate Student Scholarship, ITS New Jersey