Senior Lecturer of Industrial and Systems Engineering
Education
- Doctoral Degree, University of Toronto
- Master's Degree, University of Toronto
Biography
Dr. Ma is currently a senior lecturer in the Daniel J. Epstein Department of Industrial and Systems Engineering at the University of Southern California. Before joining USC, He was a full-time lecturer in the School of Engineering and Design at Technical University of Munich from 2018 to 2022, and the Ingram School of Engineering at Texas State University from 2022-2024, and a Research Fellow at the University of Texas at Austin in early 2022. He received his Ph.D. and Master of Applied Science degrees from the University of Toronto.
Research Summary
- Statistics and Probability, Statistical/Machine Learning, Operations Research, Optimization, Data Mining and Predictive Analytics, Time Series Forecast, Functional Data Analysis
- Network-level Traffic State Prediction, Transportation Systems Modeling, Simulation, and Calibration, Traffic Flow Operations and Management, Demand Forecast
Representative Publications:
Tao Ma, Fang Yao, and Zhou Zhou (2024) Network-Level Traffic Flow Prediction: Functional Time Series vs. Functional Neural Network Approach. The Annals of Applied Statistics, Vol. 18 (1), 424–444. https://doi.org/10.1214/23-AOAS1795
Haoran Chen, Xuedong Yan, Xiaobing Liu & Tao Ma (2022) Exploring the operational performance discrepancies between online ridesplitting and carpooling transportation modes based on DiDi data, Transportation, Springer Nature. https://doi.org/10.1007/s11116-022-10297-6
Xiaolin Gong, Tao Ma, and Constantinos Antoniou (2021) Network Traffic Dynamics Prediction with a Hybrid Approach: Autoencoder-VAR, the 7th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), IEEE Xplore, https://doi.org/10.1109/MT-ITS49943.2021.9529299
Tao Ma, Constantinos Antoniou, Tomer Toledo (2020) Hybrid machine learning algorithm and statistical time series model for network-wide traffic forecast, Transportation Research Part C: Emerging Technologies, (111) 352–372, https://doi.org/10.1016/j.trc.2019.12.022
Moeid Qurashi, Tao Ma, Emmanouil Chaniotakis, and Constantinos Antoniou (2019) PC-SPSA: Employing Dimensionality Reduction to Limit SPSA Search Noise in DTA Model Calibration, IEEE Transactions on Intelligent Transportation Systems, ISSN: 1524-9050, 1-11 https://doi.org/10.1109/TITS.2019.2915273
Tao Ma, Zhou Zhou, Constantinos Antoniou (2018) Dynamic Factor Model for Network Traffic State Forecast, Transportation Research Part B: Methodological, (118), 281-317 https://doi.org/10.1016/j.trb.2018.10.018
Tao Ma, Zhou Zhou, Baher Abdulhai (2015) Nonlinear multivariate time–space threshold vector error correction model for short term traffic state prediction, Transportation Research Part B Methodological, (76), 27–47 https://doi.org/10.1016/j.trb.2015.02.008
