Archie J. Huang

Research Appointments

Assistant Professor, August 2025 - Present

Concordia University, Montréal, QC, Canada

My research interests include physics-informed deep learning, traffic state estimation and prediction, the fleet rebalancing problem of shared mobility services, simulation with connected and autonomous vehicles, and traffic modeling with variable speed limits.

Research Assistant Professor, August 2024 - July 2024

Tennessee Tech University, Cookeville, TN, USA

At Tennessee Tech, I was conducting research on nonlocal traffic flow dynamics and signal-free intersection design with autonomous vehicles. I also developed and taught a new course "Transportation System Analysis", focusing on transportation safety and smart mobility.

Postdoctoral Research Associate, August 2023 - August 2024

University of Connecticut, Storrs, CT, USA

At UConn, I was interested in the research topic of the fleet rebalancing problem of shared mobility services - optimizing the fleet rebalancing approach with the aid of connected and autonomous vehicles (CAV) to reduce system-wide passenger wait time and mitigate traffic congestion.

Teaching Experience

Instructor

Concordia University

Transportation Engineering (CIVI 372)

Instructor

Tennessee Tech University - [New Course Offering]

Transportation System Analysis (CEE 4990 / 5990)

Guest Lecturer

University of Connecticut

Transportation Planning (CE 4730 / 5730)
Seminar in Transportation and Urban Engineering (CE 5030)

Graduate Teaching Assistant

University of Central Florida

Statics (EGN 3310)
Applied Numerical Methods for Civil Engineering (CGN 3405)
Highway Engineering (TTE 3810)
Transportation Engineering Systems (TTE 4274)

Teaching Assistant

California State University, Los Angeles

Fundamentals of Machine Learning (EE 4540)

Research Interests

Fleet rebalancing for shared mobility services
Simulation with connected and autonomous vehicles
Physics-informed deep learning and its applications in state estimation problems
traffic modeling with variable speed limits
Data mining for urban analytics

Education

Ph.D., Civil Engineering, May 2023

University of Central Florida

M.S., Urban Informatics, August 2016

Center for Urban Science and Progress, New York University

B.Eng., Electrical Engineering, August 2012

Tsinghua University

Journal Publications

Archie J. Huang, Animesh Biswas and Shaurya Agarwal, Incorporating Nonlocal Traffic Flow Model in Physics-Informed Neural Networks, IEEE Transactions on Intelligent Transportation Systems, doi: 10.1109/TITS.2024.3429029.
Archie J. Huang and Shaurya Agarwal, Physics-Informed Deep Learning for Traffic State Estimation: Illustrations With LWR and CTM Models, IEEE Open Journal of Intelligent Transportation Systems, vol. 3, pp. 503-518, 2022, doi: 10.1109/OJITS.2022.3182925.
Archie J. Huang and Shaurya Agarwal, 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, vol. 4, pp. 279-293, 2023, doi: 10.1109/OJITS.2023.3268026.
Michael Muhlmeyer, Archie J. Huang and Shaurya Agarwal, Event Triggered Social Media Chatter: A New Modeling Framework, IEEE Transactions on Computational Social Systems, vol. 6, no. 2, pp. 197-207, April 2019, doi: 10.1109/TCSS.2019.2897674.
Michael Muhlmeyer, Shaurya Agarwal and Archie J. Huang, Modeling Social Contagion and Information Diffusion in Complex Socio-technical Systems, IEEE Systems Journal, vol. 14, no. 4, pp. 5187-5198, Dec. 2020, doi: 10.1109/JSYST.2020.2993542.
Pushkin Kachroo, Aaron Saiewitz, Robyn Raschke, Shaurya Agarwal and Archie J. Huang, A New Language and Hidden Markov Input/Output Model for Automated Audit Inquiry, IEEE Intelligent Systems, vol. 35, no. 6, pp. 39-49, Dec. 2020, doi: 10.1109/MIS.2019.2963653.
Pushkin Kachroo, Shaurya Agarwal, Animesh Biswas and Archie J. Huang, Nonlocal Calculus-based Macroscopic Traffic Model: Development, Analysis, and Validation. IEEE Open Journal of Intelligent Transportation Systems, vol. 4, pp. 900-908, 2023, doi: 10.1109/OJITS.2023.3335303.

Book Chapter

Pushkin Kachroo, Shaurya Agarwal, and Archie J. Huang, An Architecture for Signal Free Intersection Involving Autonomous Vehicles. Models and Methods for Systems Engineering, vol. 165, pp. 97-107, 2025, doi: 10.1007/978-3-031-76440-0_9.

Conference Proceedings

Archie J. Huang and Shaurya Agarwal, Physics Informed Deep Learning for Traffic State Estimation, IEEE International Conference on Intelligent Transportation Systems, pp. 1-6, 2020, doi: 10.1109/ITSC45102.2020.9294236.
Archie J. Huang and Monika Filipovska, Physics-Informed Bayesian Deep Learning for Traffic State Estimation and Uncertainty Quantification, IEEE International Conference on Intelligent Transportation Systems, pp. 4288-4293, 2024, doi: 10.1109/ITSC58415.2024.10920012.
Pushkin Kachroo, Shaurya Agarwal, Animesh Biswas and Archie J. Huang, Development and Field Validation of Nonlocal Velocity based Macroscopic Traffic Model. International Conference on Traffic and Granular Flow, pp. 471-478, 2022, doi: 10.1007/978-981-99-7976-9_58.

Preprints

Archie J. Huang and Shaurya Agarwal, Physics Informed Deep Learning: Applications in Transportation. Submitted to Transportation in Developing Economies, Springer. Available at arXiv:2302.12336.

Submissions under Review

Archie J. Huang, Dongdong Wang, Shaurya Agarwal, Mohamed Abdel-Aty, Md Mahmudul Islam, Muhammad Shahbaz, Physics-based Ensemble Learning for Traffic State Estimation with Variable Speed Limit. Submitted to Transportation Research Record (TRR).
Aaron Saiewitz, Robyn Raschke, Archie J. Huang, Shaurya Agarwal and Pushkin Kachroo, Using Artificial Intelligence to Detect Biased Client Statements in the Auditor-Client Inquiry Process. Submitted to The Accounting Review (TAR).

Presentations

Archie J. Huang and Shaurya Agarwal, Physics Informed Deep Learning: Applications to Traffic State Estimation in Connected Vehicle Environment, 100th Transportation Research Board Annual Meeting, 2021.
Archie J. Huang and Shaurya Agarwal, Cognitive Awareness of Intelligent Vehicles: A Deep Learning Approach, Florida Automated Vehicle Summit, 2021.
Archie J. Huang and Shaurya Agarwal, Modeling and Control of V2X Enabled Traffic Streams, Florida Automated Vehicle Summit, 2019.
Archie J. Huang, Shaurya Agarwal, and Mohamed Abdel-Aty, Improving Localization Accuracy with Smartphone Sensor Data Fusion, International Conference on Smart Tourism, Smart Cities and Enabling Technology, 2019.

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
Institution of Engineering and Technology (IET) Networks
IEEE Intelligent Vehicles Symposium (IV)

Awards

ORCGS Doctoral Fellowship, 2018
UCF Dean’s Dissertation Completion Fellowship, 2023