• 712F Boyd Research and Education Center
  • 200 D.W. Brooks Drive, Athens, GA 30602
yunli.shao@uga.edu

About Me

yunli shao

Yunli Shao

Assistant Professor

School of Environmental, Civil, Agricultural, and Mechanical Engineering

yunli.shao@uga.edu

About

Dr. Yunli Shao is an Assistant Professor at the University of Georgia College of Engineering, part of the E-Mobility initiative. His research focuses on developing and innovating automotive and transportation systems by integrating theories and methodologies, such as advanced control, optimization, artificial intelligence (AI), with multi-resolution modeling, simulation, and hardware-in-the-loop (HIL) experimental evaluation. Dr. Shao was PI and Co-PI of multiple Department of Energy (DOE) core capability projects on multi-resolution HIL simulation for vehicle and transportation systems as well as applications to connected and automated vehicles (CAVs), electrification with hybrid electric vehicles (HEVs) and electric vehicles (EVs). He has Extensive experiences in developing emerging E-Mobility technologies for light-duty, medium-duty, heavy- duty vehicles, as well as off-road vehicles (e.g., agriculture, mining). His expertise includes system-of-systems modeling and simulation of vehicle and transportation systems, HIL evaluation, model based and AI based optimal control, electrification and CAV applications, commercial and off-road vehicle applications, traffic control, traffic sensing and data analytics

Education

  • Ph.D. in Mechanical Engineering, University of Minnesota, 2019
  • M.S. in Mechanical Engineering, University of Michigan, 2015
  • B.S. in Mechanical Engineering, Shanghai Jiao Tong University, 2013

Professional Experiences

  • Assistant Professor, University of Georgia College of Engineering, Athens, GA, Aug. 2023-present
  • Research & Development Staff, Oak Ridge National Laboratory, Knoxville, TN, Dec. 2020-July 2023
  • Postdoctoral Research Associate, Oak Ridge National Laboratory, Knoxville, TN, Dec. 2019-Nov. 2020
  • Application Software Engineer, Magna International Inc., Troy, MI, May 2015-Apr. 2015
  • Controls Systems & Solutions Intern, Eaton Corporation plc, Southfield, MI, May 2014-Aug. 2014

Research Projects

Individual Vehicle Control
Individual Vehicle Control
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Multi-vehicle Cooperative Control<
Multi-vehicle Cooperative Control
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Traffic Signal Light Control
Traffic Signal Light Control
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Janice Hosenstein
Hardware-in-the-loop Evaluation of Connected and Automated Vehicles
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Chandler Bing
Living Laboratory for Smart City and Transportation Management
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Publications

Journal Articles

Underlined are students and/or post-docs guided Asterisk* is corresponding author

  1. A Semi-automatic GIS Framework for Creating Photo-realistic Digital Twin Cities to Support Autonomous Driving Research

    Xu, H., Shao, Y.*, Chen, J., Wang, C., Berres, A., 2023. Transportation Research Record, Accepted

  2. A Novel Deep Reinforcement Learning Approach to Traffic Signal Control with Connected Vehicles

    Shi, Y., Wang, Z., LaClair, T., Wang, C., Shao, Y., and Yuan, J., 2023. Applied Sciences, 13(4), p.2750.

  3. Real-Time Control of Connected Vehicles in Signalized Corridors using Pseudospectral Convex Optimization

    Shi, Y., Wang, Z., LaClair, T., Wang, C., Shao, Y., 2023. Optimal Control Applications and Methods.

  4. Hybrid Recurrent Neural Network Modeling for Traffic Delay Prediction at Signalized Intersections Along an Urban Arterial

    Subramaniyan, A.B., Wang, C., Shao, Y., Li, W., Wang, H., Zhang, G., Ma, T., 2022. IEEE Transactions on Intelligent Transportation Systems, 24(1), pp.1384-1394.

  5. Energy and mobility impacts of connected autonomous vehicles with co-optimization of speed and powertrain on mixed vehicle platoons

    Sun, W., Wang, S., Wang, C., Shao, Y., Sun, Z. and Levin, M.W., 2022. Transportation Research Part C: Emerging Technologies, 142, 103764.

  6. Real-Sim Interface: Enabling Multi-resolution Simulation and X-in-the-loop Development for Connected and Automated Vehicles

    Shao, Y.*, Deter, D., Cook, A., Wang, C., Perry, N., Thompson, B., 2022. SAE International Journal of Connected and Automated Vehicles, 5 (12-05-04-0026).

  7. Hybrid Neural Network Learning for Multiple Intersections along Signalized Arterials - A Microscopic Simulation vs Real System Effect

    Wang, H., Wang, C., Shao, Y., Li, W., Subramaniyan, A.B., Zhang, G., Ma, T., Ringler, J. and Chou, D., 2021. International Journal On Advances in Networks and Services, Volume 14, Number 1

  8. Energy-Efficient Connected and Automated Vehicles: Real-time Traffic Prediction Enabled Co-Optimization of Vehicle Motion and Powertrain Operation

    Shao, Y. and Sun, Z., 2021. IEEE Vehicular Technology Magazine, 16(3), pp.47-56.

  9. Vehicle Speed and Gear Position Co-optimization for Energy Efficient Connected and Autonomous Vehicles

    Shao, Y. and Sun, Z., 2020. IEEE Transactions on Control Systems Technology, 29(4), pp.1721-1732.

  10. Eco-approach with Traffic Prediction and Experimental Validation for Connected and Autonomous Vehicles

    Shao, Y. and Sun, Z., 2020. IEEE Transactions on Intelligent Transportation Systems, 22(3), pp.1562-1572.

  11. Evaluating Connected and Autonomous Vehicles Using a Hardware-in-the-loop Testbed and a Living Lab

    Shao, Y., Mohd Zulkefi, M.A., Sun, Z., Huang, P., 2019. Transportation Research Part C: Emerging Technologies, v102, pp. 121-135.

  12. Vehicle and Powertrain Optimization for Autonomous and Connected Vehicles

    Shao, Y., Mohd Zulkefli, M.A., and Sun, Z., 2017. ASME Mechanical Engineering: Dynamic Systems and Control, 139(09), S19-S23.

  13. Integrated Vehicle and Powertrain Optimization for Passenger Vehicles with Vehicle-Infrastructure Communication

    Hu, J., Shao, Y., Sun, Z., and Bared, J., 2017. Transportation Research Part C: Emerging Technologies, v79, pp. 85-102.

  14. Integrated Optimal Eco-Driving on Rolling Terrain for Hybrid Electric Vehicle with Vehicle-Infrastructure Communication

    Hu, J., Shao, Y., Sun, Z., Wang, M., Bared, J. and Huang, P., 2016. Transportation Research Part C: Emerging Technologies, v68, pp.228-244.

  15. Evaluating Connected Vehicles and Their Applications

    Mohd Zulkefli, M.A., Mukherjee, P., Shao, Y., and Sun, Z., 2016. ASME Mechanical Engineering: Dynamic Systems and Control, 138(12), S12-S17.

  16. A day in the life of a dolphin: Using bio‐logging tags for improved animal health and well‐being

    Alex Shorter, K., Shao, Y., Ojeda, L., Barton, K., Rocho‐Levine, J., Hoop, J. and Moore, M., 2017. Marine Mammal Science, 33(3), pp.785-802.

Conferences

  1. Real-Time Traffic Prediction Considering Lane Changing Maneuvers with Application to Eco-Driving Control of Electric Vehicles

    He, S., Wang, S., Shao, Y., Sun, Z. and Levin, M.W., 2023. In 2023 IEEE Intelligent Vehicles Symposium (IV), IEEE.

  2. Cooperative Merging Speed Planning: A Vehicle-Dynamics-Free Method

    Wang, Z., Cook, A., Shao, Y., Xu, G. and Chen, J., 2023. In 2023 IEEE Intelligent Vehicles Symposium (IV), IEEE.

  3. Evaluating Connected and Automated Vehicles in Co-simulation Environment of Traffic Microsimulation and Vehicle Dynamics

    Shao, Y.*, Chambon, P., Cook, A., Wang, C., Deter, D. In International Conference on Transportation and Development (ICTD) 2023, Austin, TX., pp. 207-217.

  4. Integration of Distributed Queue-Aware, Eco-Approach Strategies and Bi-Linear Signal Control Algorithm Under Mixed Connected and Automated Traffic Environment on a Signalized Multi-Lane Corridor

    Yuan, J., LaClair, T., Wang, C., Lim, H., Li, W., Wang, H., Shao, Y.. 102nd Transportation Research Board (TRB) Annual Meeting, 2023.

  5. Computer Vision-Enabled Smart Traffic Monitoring for Sustainable Transportation Management

    Shao, Y.*, Wang, C., Berres, A., Yoshioka, J., Cook, A. and Xu, H., 2022. In International Conference on Transportation and Development 2022 (pp. 34-45).

  6. Real-Sim: A Multi-resolution X-in-the-loop Experimental Approach for Testing Connected and Automated Vehicles

    Shao, Y., Cook, A., Perry, N., Deter, D. and Wang, C.R., 2022. I2022 American Control Conference (ACC), Atlanta, GA.

  7. A Flexible Real-Sim Interface for Integrated Hardware-in-the-loop Simulation for Connected and Automated Vehicles

    Shao, Y., Deter, D., Cook, A., Wang, C., Perry, N., Thompson, B. 101st Transportation Research Board (TRB) Annual Meeting, 2022.

  8. Energy and Mobility Impact of Connected Autonomous Vehicles with Co-optimization of Speed and Powertrain on Mixed Vehicle Platoons

    Sun, W., Wang, S., Shao, Y., Sun, Z. and Levin, M.W. 101st Transportation Research Board (TRB) Annual Meeting, 2022.

  9. Hybrid Recurrent Neural Network Modeling for Traffic Delay Prediction Along Signalized Intersections: A Case Study in Hawaii

    Subramaniyan, A.B., Wang, R., Shao, Y., Li, W., Wang, H., Zhang, G., Ma, T. 101st Transportation Research Board (TRB) Annual Meeting, 2022.

  10. Hybrid Neural Network Modeling for Multiple Intersections along Signalized Arterials-Current Situation and Some New Results

    Wang, H., Li, W., Wang, R., Shao, Y., Zhang, G., Ma, T., Ringler, J. and Chou, D., 2021. The Tenth International Conference on Advances in Vehicular Systems, Technologies and Applications, VEHICULAR 2021, Best Paper Award.

  11. Machine Learning Enabled Traffic Prediction for Speed Optimization of a Connected and Autonomous Electric Vehicle

    Shao, Y., Zheng, Y., Sun, Z. 2021 American Control Conference (ACC).

  12. Traffic Prediction for Merging Coordination Control in Mixed Traffic Scenarios

    Shao, Y., and Rios-Torres, J. 2020 ASME Dynamic Systems and Control Conference (DSCC), Pittsburgh, PA.

  13. Vehicle Speed Prediction for Connected and Autonomous Vehicles Using Communication and Perception

    Suh, B., Shao, Y., and Sun, Z. 2020 American Control Conference (ACC), Denver, CO.

  14. Optimal Speed Control For A Connected and Autonomous Electric Vehicle Considering Battery Aging and Regenerative Braking Limits

    Shao, Y., and Sun, Z. 2019 ASME Dynamic Systems and Control Conference (DSCC), Park City, UT.

  15. Optimal Vehicle Speed and Gear Position Control For Connected and Autonomous Vehicles

    Shao, Y., and Sun, Z. 2019 American Control Conference (ACC), Philadelphia, PA.

  16. Hardware-In-The-Loop Testbed and Living Lab for Evaluating Connected and Autonomous Vehicles

    Shao, Y., Mohd Zulkefi, M.A., Sun, Z., Huang, P. 98th Transportation Research Board (TRB) Annual Meeting, Washington, D.C., 2019.

  17. Evaluating Fuel Economy Of Connected and Autonomous Vehicles Under Different Traffic Factors

    Oo, Y. L., Shao, Y., and Sun, Z. 98th Transportation Research Board (TRB) Annual Meeting, Washington, D.C., 2019.

  18. Optimal Eco-Approach Control With Traffic Prediction For Connected Vehicles

    Shao, Y., and Sun, Z. 2018 ASME Dynamic Systems and Control Conference (DSCC), Atlanta, GA.

  19. Robust Eco-Cooperative Adaptive Cruise Control With Gear Shifting

    Shao, Y., and Sun, Z. 2017 American Control Conference (ACC), Seattle, WA.

  20. Integrated Vehicle and Powertrain Optimization for Passenger Vehicles with Vehicle-Infrastructure Communication

    Hu, J., Shao, Y., Sun, Z., and Bared, J. 96th Transportation Research Board (TRB) Annual Meeting, Washington, D.C.

  21. Integrated Optimal Eco-driving on Rolling Terrain for Hybrid Electric Vehicle Under Connected-Vehicle Contex

    Hu, J., Shao, Y., Sun, Z., Wang, M., Bared, J. and Huang, P. 95th Transportation Research Board (TRB) Annual Meeting, Washington, D.C., 2016.
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