Dr. Noruzoliaee wins a three-year award from the National Science Foundation (NSF) for research on trustworthy AI in transportation cyber-physical systems.

In an interdisciplinary collaboration with researchers at UTRGV, UPenn, and UC Riverside, this project develops trustworthy AI tools at the nexus of AI safety, AI security, and AI fairness for transport cyber-physical systems.

Our DOT-sponsored research project was featured in the Transportation Research Board's Newsletter Research Roundup.

To promote mass adoption of autonomous transportation, our project “On the Role of Perceived Safety Concerns on Public Acceptance Behavior of Autonomous Vehicles” investigates the factors shaping the public acceptance behavior of this technology, with a focus on the perceived concerns about the safety of autonomous vehicles.

Safety21 National University Transportation Center's Executive Director, Karen Lightman, visited UTRGV.

Our team of Safety21 faculty and students at UTRGV was delighted and honored to host the Safety21 Executive Director Karen Lightman and showcase how students are implementing transportation safety in their research. 

X-ResilienT Lab contributed to the NSF-funded Community of Practice to inform K-12 curriculum by our research on smart transportation and AI technologies.

Our team of faculty and students was thrilled to contribute to informing K-12 STEM teachers about how to incorporate our research on transportation and AI into K-12 curriculum.

X-ResilienT Lab member Timothy Lyons successfully defended his master's thesis on learning-based autonomous transportation control.

Congratulations, Timothy, for the successful defense of your master's thesis, titled "Bridging Human Emotion and Autonomous Vehicle Control: Reinforcement Learning Enhancements in the CARLA Simulator". We acknoweledge the National Science Foundation's support of Timothy's research during his undergraduate and graduate years at UTRGV. 

X-ResilienT Lab member Sergio Martinez wins a (National) Best Master's Thesis Award.

Congratulations, Sergio, for winning the Milton Pikarsky Memorial Award for your thesis titled "Vibration-Based Machine Learning Models for Condition Monitoring of Railroad Rolling Stock". This award is given annually for the best Doctoral dissertation and Master’s thesis in the field of science and technology in transportation studies.

Dr. Noruzoliaee wins a five-year award from the U.S. Department of Transportation (DOT).

In a multi-institution collaboration led by Carnegie Mellon University, the Safety21 University Transportation Center (UTC) is one of only five National UTCs awarded by DOT to research, develop and deploy cutting edge technologies, policies, and develop workforce and educational programs that directly address the challenges of integrating Autonomous, Connected, Electric and Shared vehicles (ACES) with a transformative focus on safety, equity, sustainability and economic growth.

Dr. Noruzoliaee wins a one-year award from the UTRGV Faculty Seed Research Grants program for his research on transportation cybersecurity.

This project, titled "Cybersecurity of Autonomous Transportation Control Systems", develops an adversarial machine learning algorithm to theoretically certify the cybersecurity of autonomous transportation control systems.

Dr. Noruzoliaee presents X-ResilienT Lab research on transportation cybersecurity at the 2023 INFORMS Annual Meeting in Phoenix, AZ.

Presentation title: Toward certified cybersecurity of learning-based traffic signal control.

X-ResilienT Lab member Mark Hernandez wins a DOT-sponsored fellowship through the Dwight David Eisenhower Transportation Fellowship Program (DDETFP).

The U.S. Department of Transportation's DDETFP awards fellowships to students pursuing degrees in transportation-related disciplines to advance the transportation workforce.

Dr. Noruzoliaee wins the Olegario Vazquez Rana Endowed Faculty Fellowship (2-year term).

Thank you UTRGV and College of Engineering & Computer Science for this endowed faculty fellowship, which is given to tenure-track faculty to "promote and reward excellence in research productivity."

Paper published in Transportation Research Part B: Methodological.

Paper title: One-to-many matching and section-based formulation of autonomous ridesharing equilibrium.​

X-ResilienT Lab research on shared mobility predictive analytics was presented at the 2022 INFORMS Annual Meeting in Indianapolis, IN.

Presentation title: Data-driven multi-horizon prediction of ridesharing spatiotemporal demand pattern.

Dr. Noruzoliaee presented research at the NASA HBCU/MSI Technology Infusion Road Tour (Houston, TX)

Presentation title: Cyber-physical systems (in the context of transportation)

Dr. Noruzoliaee presented research at 2022 IEEE ITSC Conference (Virtual). 

Presentation title: Modeling autonomous ridesharing equilibrium in mixed traffic with one-to-many matching and a section-based formulation

X-ResilienT Lab research on traffic headway time-series data analytics was presented at the 2022 Transportation Research Board (TRB) Annual Meeting in Washington, D.C.

Presentation title: A data-driven time headway model using vehicle trajectories and deep learning.

Dr. Noruzoliaee co-organized the ASCE Workshop on AI-Enabled Next Generation Transportation Systems.

This inaugural workshop of the AI in Transportation Committee of ASCE T&DI brought together leading researchers, practitioners, policymakers, and students to exchange knowledge to enable next-generation transportation systems using AI. Dr. Noruzoliaee co-chaired one of the technical sessions on AI in Transportation Cyber-Physical Systems.

X-ResilienT Lab research on aging infrastructure health predictive analytics was presented in the 2022 ASME Joint Rail Conference (Virtual).

Presentation title: Predicting service life of railroad bearings: Leveraging machine learning and onboard sensor data.

Dr. Noruzoliaee wins a five-year award from the National Science Foundation (NSF) to establish a CREST Center on cyber-physical infrastructure systems and serve as the Center's Founding Deputy Director.

In an interdisciplinary collaboration with researchers at UTRGV, UC Riverside, and University of Illinois (Urbana-Champaign, Chicago), this project makes theoretical, computational, experimental, and empirical discoveries at the nexus of AI, autonomous mobility, and smart sensing.

Paper published in Transportation Research Part E: Logistics and Transportation Review.

​Paper title: Truck platooning in the U.S. national road network: A system-level modeling approach.

Dr. Noruzoliaee presented research on AI-enabled infrastructure analytics at Houston Airport Systems (Virtual).

​Presentation title: Airfield asset management: Leveraging AI and optimization analytics.

X-ResilienT Lab's first graduate student, Saumik Masud, successfully defended his master's thesis on learning-based traffic time-series prediction.

Congratulations, Saumik, for the successful defense of your master's thesis, titled "Traffic time headway prediction and analysis: A deep learning approach".

Paper published in the International Journal of Pavement Engineering.

Paper title: A gradient boosting approach to understanding airport runway and taxiway pavement deterioration.

Dr. Noruzoliaee will serve as a Voting Member of the AI in Transportation Committee of the ASCE T&DI Technical Committee (3-year term).