Paper accepted for publication in Transportation Research Part B: Methodological.
Noruzoliaee, M., Zou, B., 2022. One-to-many matching and section-based formulation of autonomous ridesharing equilibrium.
November 2021
Noruzoliaee, M., Zou, B., 2022. One-to-many matching and section-based formulation of autonomous ridesharing equilibrium.
November 2021
Dr. Noruzoliaee co-chaired the technical session on Artificial Intelligence in Transportation Cyber-Physical Systems in the ASCE workshop on Artificial Intelligence Enabled Next Generation Transportation Systems.
November 2021
November 2021
Paper accepted for presentation in the 2022 American Society of Mechanical Engineers (ASME) Joint Rail Conference.
Villafranca, L., Noruzoliaee, M., Tarawneh, C. Predicting remaining service life of railroad bearings: Leveraging machine learning and onboard sensor data.
October 2021
Villafranca, L., Noruzoliaee, M., Tarawneh, C. Predicting remaining service life of railroad bearings: Leveraging machine learning and onboard sensor data.
October 2021
Paper accepted for presentation in the 2022 Transportation Research Board (TRB) Annual Meeting.
Masud, S., Noruzoliaee, M., Nazari, F. A data-driven time headway model using vehicle trajectories and deep learning.
September 2021
Masud, S., Noruzoliaee, M., Nazari, F. A data-driven time headway model using vehicle trajectories and deep learning.
September 2021
Dr. Noruzoliaee, together with researchers from the Universities of Texas (Rio Grande Valley), California (Riverside), and Illinois (Urbana-Champaign and Chicago), receives a $5,000,000 grant from the National Science Foundation to establish a CREST Center at UTRGV. Dr. Noruzoliaee serves as the Founding Deputy Director of the Center.
CREST Center for Multidisciplinary Research Excellence in Cyber-physical Infrastructure Systems (MECIS) August 2021 |
Paper accepted for publication in Transportation Research Part E: Logistics and Transportation Review.
Noruzoliaee, M., Zou, B., Yan, Z., 2021. Truck platooning in the U.S. national road network: A system-level modeling approach.
January 2021
Noruzoliaee, M., Zou, B., Yan, Z., 2021. Truck platooning in the U.S. national road network: A system-level modeling approach.
January 2021
The first lab student, Saumik Sakib Masud, successfully defended his master's thesis supervised by Dr. Noruzoliaee. Congratulations, Saumik, and good luck with the next chapter as Ph.D. student in the University of Kansas!
Thesis title: Traffic time headway prediction and analysis: A deep learning approach.
November 2020
Thesis title: Traffic time headway prediction and analysis: A deep learning approach.
November 2020
Paper accepted for publication in the International Journal of Pavement Engineering.
Barua, L., Zou, B., Noruzoliaee, M., Derrible, S., 2020. A gradient boosting approach to understanding airport runway and taxiway pavement deterioration.
January 2020
Barua, L., Zou, B., Noruzoliaee, M., Derrible, S., 2020. A gradient boosting approach to understanding airport runway and taxiway pavement deterioration.
January 2020
Dr. Noruzoliaee serves as a Voting Member of the ASCE T&DI Technical Committee on Artificial Intelligence.
September 2020 |