Yanbing Wang

Future Faculty Tenure-Track Hire,

School of Sustainable Engineering and the Built Environment

Yanbing.Wang@asu.edu

660 S College Ave 506 Tempe, AZ 85281
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Long Bio

Yanbing Wang is an incoming tenure-track assistant professor in the School of Sustainable Engineering and the Built Environment (SSEBE) at Arizona State University. She is currently a postdoctoral researcher in the Transportation and Power Systems (TAPS) division at Argonne National Laboratory, where she leads the development of traffic micro-simulation platforms for energy evaluation funded by the Department of Energy.

Wang earned her Ph.D. from the Institute for Software Integrated Systems at Vanderbilt University in September 2023. At Vanderbilt, she also served as a research engineer and led algorithm development for Tennessee's I-24 MOTION testbed. Her contributions to the field have been recognized with the NSF Cyber-Physical Systems Rising Star award in 2023 and the Dwight D. Eisenhower Transportation Fellowship awarded by the Federal Highway Administration (FHWA) five times.

Her industry experience includes research internships at Toyota Infotech Labs and Mitsubishi Electric Research Laboratories (MERL), as well as a visiting researcher position at the Institute for Pure & Applied Mathematics (IPAM) at UCLA. Wang's research focuses on advancing transportation cyber-physical systems (CPS) through the development of computationally-efficient tools for generating and analyzing large-scale empirical data, with the goal of revolutionizing traffic monitoring and control for future transportation systems.

Education

Ph.D. Civil and Environmental Engineering, Vanderbilt University 2023
B.S. Civil and Environmental Engineering, University of Illinois at Urbana-Champaign 2018

Google Scholar URL

https://scholar.google.com/citations?user=38Esjq8AAAAJ&hl=en

ORCID Profile ID

https://orcid.org/0000-0002-3988-8356

Research Interests

Transportation Cyber-Physical Systems
Connected and Automated Vehicles
Dynamical Systems
Spatial-Temporal Modeling

Publications

Journal Articles

Y. Wang, D. Gloudemans, J. Ji, Z.N. Teoh, L. Liu, G. Zachár, W. Barbour, and D. Work, “Automatic vehicle trajectory data reconstruction at scale,” Transportation Research Part C: Emerging Technologies, vol. 160, p. 104520, 2024. Available online, Preprint
D. Gloudemans, Y. Wang, J. Ji, G. Zachar, W. Barbour, E. Hall, M. Cebelak, L. Smith, and D. Work, “I-24 MOTION: An instrument for freeway traffic science,” Transportation Research Part C: Emerging Technologies, vol. 155, p. 104311, 2023. Available online, Preprint
P. Choobchian, G. Roscoe, T. Dick, B. Zou, D. Work, K. Zhang, Y. Wang, and Y.C. Hung, “Leveraging connected vehicle platooning technology to improve the efficiency and effectiveness of train fleeting under moving blocks”, Transportation Research Part C: Emerging Technologies, vol. 148, p. 104 026, 2023, issn: 0968-090X. Available online
Y. Hu, A. Qu, Y. Wang, and D. Work, “Streaming data preprocessing via online tensor recovery for large environmental sensor networks”, ACM Transactions on Knowledge Discovery from Data (TKDD), vol. 16, no. 6, pp. 1–24, 2022. Available online, Preprint
Y. Wang, Z. Wang, K. Han, P. Tiwari and D. Work, “Gaussian Process-based personalized adaptive cruise control”, IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 11, pp. 21178-21189, 2022. Available online, Preprint
Y. Wang, M.L. Delle Monache, and D. Work, “Identifiability of car-following dynamics,” Physica D: Nonlinear Phenomena, vol. 430, p. 133090, 2022. Available online, Preprint
Y. Wang and D. Work, “Estimation for heterogeneous traffic using enhanced particle filters,” Transportmetrica A: Transport Science, vol. 18, no. 3, pp. 568-593, 2022. Available online
Y. Wang, G. Gunter, M. Nice, M.L. Delle Monache, and D. Work, “Online parameter estimation methods for adaptive cruise control systems,” IEEE Transactions on Intelligent Vehicles, vol. 6, no. 2, pp. 288-298, 2020. Available online, Preprint

Conference Proceedings

Y. Wang, F. de Souza, J. Han, D. Karbowski, “Is it necessary to calibrate all parameters for each driver?”, 2024 Modeling, Estimation, and Control Conference (MECC 2024). Chicago, IL, USA, October 27-30, 2024. To appear.
Y. Wang, M. Menner, and K. Berntorp, “Physics-informed road monitoring and suspension control using crowdsourced vehicle data”, European Control Conference 2024. Preprint
J. Ji, Y. Wang, D. Gloudemans, G. Zachár, W. Barbour, and D. Work, "Virtual trajectories for I–24 MOTION: data and tools," In IEEE Forum for Innovative Sustainable Transportation Systems (FISTS) (pp. 1-6), 2024. Available online, Preprint
D. Gloudemans, G. Zachár, Y. Wang, J. Ji, M. Nice, M. Bunting, W. Barbour, J. Sprinkle, B. Piccoli, M.L.D. Monache, and A. Bayen, "So you think you can track?" In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (pp. 4528-4538), 2024. Available online
J. Ji, Y. Wang, W. Barbour, and D. Work, "Platoon trajectory reconstruction with conflict resolution using semidefinite relaxation," In IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), pp. 4332-4338, 2023. Available online
Y. Wang, J. Ji, W. Barbour and D. Work, “Online min cost circulation for multi-object tracking on fragments,” In IEEE 26th International Conference on Intelligent Transportation Systems (ITSC), pp. 2803-2810, 2023. Available online
D. Gloudemans, Y. Wang, G. Gumm, W. Barbour, and D. Work, "The Interstate-24 3D dataset: a new benchmark for 3D multi-camera vehicle tracking," In British Machine Vision Conference (BMVC), 2023. Available online
Y. Hu, Y. Zhang, Y. Wang, and D. Work, "Detecting socially abnormal highway driving behaviors via recurrent graph attention networks," In Proceedings of the ACM Web Conference (pp. 3086-3097), 2023. Available online
Y. Wang, Z. Wang, K. Han, P. Tiwari and D. Work. “Personalized adaptive cruise control via Gaussian Process regression”. 2021 IEEE 24th International Conference on Intelligent Transportation Systems (ITSC) (pp. 1496-1502), 2021. Available online, Preprint
A. Qu, Y. Wang, Y. Hu, Y. Wang, and H. Baroud, "A data-integration analysis on road emissions and traffic patterns," In Driving Scientific and Engineering Discoveries Through the Convergence of HPC, Big Data and AI: 17th Smoky Mountains Computational Sciences and Engineering Conference, SMC 2020, Oak Ridge, TN, USA, Revised Selected Papers, vol. 17, pp. 503-517. Springer International Publishing. 2021. Best student paper award. Available online, Preprint
Y. Wang, G. Gunter, and D. Work, "Online parameter estimation of adaptive cruise control models with delays and lags," In IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC) (pp. 1-6), 2020. Available online, Preprint
Y. Hu, Y. Wang, C. Jiao, R. Sankaran, C. Catlett, and D. Work, "Automatic data cleaning via tensor factorization for large urban environmental sensor networks," In Proceedings of the NeurIPS 2019 Workshop on Tackling Climate Change with Machine Learning, 2019. Available online
G. Gunter, Y. Wang, D. Gloudemans, R. Stern, D. Work, M. L. Delle Monache, R. Bhadani, M. Bunting, R. Lysecky, J. Sprinkle, B. Seibold, B. Piccoli. “String stability of commercial adaptive cruise control vehicles: WiP abstract” In Proceedings of the 10th ACM/IEEE International Conference on Cyber-Physical Systems (pp. 328-329), Available online
Y. Wang and D. Work, “Heterogeneous traffic estimation with particle filtering,” In IEEE 24th International Conference on Intelligent Transportation Systems (ITSC) (pp. 2551-2556), 2019. Available online, Preprint

Patents

R. Gupta, Y. Wang, Z. Wang, K. Han, and P. Tiwari. “Hybrid ‘Deterministic Override’ to Probabilistic Advanced Driving Assistance Systems”. U.S. patent application 17/398666, Filed Aug. 2021.
R. Gupta, Y. Wang, Z. Wang, K. Han, and P. Tiwari. “Systems and Methods for Protecting a Vehicle at an Intersection”. U.S. patent application 17/41183, Filed Aug. 2021.
Y. Wang, Z. Wang, K. Han, R. Gupta, and P. Tiwari. “System and Methods for personalizing Adaptive Cruise Control in a Vehicle”. U.S. patent application 17/387045, Filed Jul. 2021.
R. Gupta, Z. Wang, Y. Wang, K. Han, and P. Tiwari. “Detection, Classification, and Prediction of Bacteria Colony Growth in a Vehicle Passenger Cabin”. U.S. patent application 17/373050, Filed Jul. 2021.
R. Gupta, Z. Wang, Y. Wang, K. Han, and P. Tiwari. “Vehicular Topple Risk Notification”. U.S. patent application 17/385012, Filed Jul. 2021.

Courses

2025 Spring

Course Number	Course Title
CEE 598	Special Topics

Honors / Awards

Cyber-Physical Systems (CPS) Rising Star, University of Virginia Link Lab, 2023
Dwight D. Eisenhower Transportation Fellowship, USDOT, 2018-2023
Sidney P. Colowick Graduate Student Scholarship (Top 3 across Vanderbilt), Vanderbilt University, 2021
Harold Stirling Vanderbilt (HSV) Fellowship, Vanderbilt University, 2021
Russell G. Hamilton Scholar Graduate Fellowship, Vanderbilt University, 2018-2021
Fred S. Bailey Undergraduate Scholarship for Cause-Driven Leaders, University YMCA, 2017

Professional Associations

Argonne National Laboratory
Institute for Pure and Applied Mathematics (IPAM)

Work History

Argonne National Laboratory, Postdoctoral Researcher, 2024
Vanderbilt University, Research Engineer, 2023
Mitsubishi Electric Research Laboratories, Research Intern, 2023
Toyota North America, Research Intern, 2021
NetMath, Instructor, 2018

Service

Co-founder and Team Lead for Engineers in Action (EIA) Bridge Chapter, 2016-2018