Archie Huang, Ph.D.

Thesis supervisor Seeking students

Assistant Professor, Building, Civil, and Environmental Engineering

Research areas: Physics-informed Machine Learning, Traffic State Estimation and Prediction, Transportation System Analysis, Nonlocal Traffic Flow Dynamics, Variable Speed Limits, AI in Transportation System

Contact information

Email:

archie.huang@concordia.ca

ORCID:

0000-0001-6736-5627

Biography

Dr. Archie Huang joined the BCEE department at Concordia University in 2025. Previously, he worked as a Research Assistant Professor at Tennessee Tech University, and as a Postdoctoral Research Associate at the University of Connecticut. His research and work interests include sustainable transportation system design, shared-use mobility services, electrification of transport, application and adoption of connected and autonomous vehicles, nonlocal traffic flow dynamics, traffic management and control, and physics-informed machine learning.

Education

Ph.D., Civil Engineering, University of Central Florida, 2023.
M.S., Applied Urban Science and Informatics, New York University, 2016.
B.Eng., Electrical Engineering, Tsinghua University, 2012.

Teaching activities

Courses

CIVI 372 Transportation Engineering
CIVI 474 / 6411 Transportation Planning and Design

Publications

Journal Publications

Islam, S., Huang, A. J., & Filipovska, M. (2025). Transferable Traffic State Forecasting Using Meta-Learning with a Multi-Dimensional Spatio-Temporal Graph Attention Model. Transportation Research Record.
Huang, A. J., Biswas, A., & Agarwal, S. (2024). Incorporating nonlocal traffic flow model in physics-informed neural networks. IEEE Transactions on Intelligent Transportation Systems.
Huang, A. J., & Agarwal, S. (2023). On the limitations of physics-informed deep learning: Illustrations using first-order hyperbolic conservation law-based traffic flow models. IEEE Open Journal of Intelligent Transportation Systems, 4, 279-293.
Kachroo, P., Agarwal, S., Biswas, A., & Huang, A. J. (2023). Nonlocal calculus-based macroscopic traffic model: Development, analysis, and validation. IEEE Open Journal of Intelligent Transportation Systems, 4, 900-908.
Huang, A. J., & Agarwal, S. (2022). Physics-informed deep learning for traffic state estimation: Illustrations with LWR and CTM models. IEEE Open Journal of Intelligent Transportation Systems, 3, 503-518.
Muhlmeyer, M., Agarwal, S., & Huang, A. J. (2020). Modeling social contagion and information diffusion in complex socio-technical systems. IEEE Systems Journal, 14(4), 5187-5198.
Kachroo, P., Saiewitz, A., Raschke, R., Agarwal, S., & Huang, A. J. (2020). A New Language and Input–Output Hidden Markov Model for Automated Audit Inquiry. IEEE Intelligent Systems, 35(6), 39-49.
Muhlmeyer, M., Huang, A. J., & Agarwal, S. (2019). Event triggered social media chatter: A new modeling framework. IEEE Transactions on Computational Social Systems, 6(2), 197-207.

Book Chapter

Kachroo, P., Agarwal, S., & Huang, A. J. (2025). An Architecture for Signal Free Intersection Involving Autonomous Vehicles. In Models and Methods for Systems Engineering (pp. 97-107). Cham: Springer Nature Switzerland.

Conference Proceedings

Huang, A. J., & Filipovska, M. (2024). Physics-Informed Bayesian Deep Learning for Traffic State Estimation and Uncertainty Quantification. In 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC) (pp. 4288-4293). IEEE.
Kachroo, P., Agarwal, S., Biswas, A., & Huang, A. J. (2022, October). Development and Field Validation of Nonlocal Velocity based Macroscopic Traffic Model. In International Conference on Traffic and Granular Flow (pp. 471-478). Singapore: Springer Nature Singapore.
Huang, A. J., & Agarwal, S. (2020). Physics informed deep learning for traffic state estimation. In 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC) (pp. 1-6). IEEE.

Participation activities

Referee Activities

IEEE Transactions on Intelligent Transportation Systems (T-ITS).
IEEE International Intelligent Transportation Systems Conference (ITSC).
Transportation Research Board (TRB) Annual Meeting.
IEEE Internet of Things Journal (IoT-J).
IEEE Transactions on Systems, Man, and Cybernetics (SMC).
IEEE Conference on Decision and Control (CDC).
International Federation of Automatic Control (IFAC) Symposium on Control in Transportation Systems.

Service

University Scholarship and Awards Committee (USAC), Concordia University, 2025-2026