NEWS
Muhammad Fahad Wins Third Place at CEAS Student Research Poster Competition(04/25/2026)
Muhammad Fahad won 3rd place in the CEAS Graduate Student Poster Competition, selected from 65 participants. His poster was titled A Trajectory Dataset of Pedestrian-Vehicle Interactions at Crosswalks via Deep Learning and Roadside Cameras. In the group photo below, Fahad is the third person from the left in the second row.
Dr. Shi and Narayan Rai Present Research at the 2026 Traffic Engineering Workshop and Transportation Planning Forum(04/16/2026)
Dr. Shi and Narayan Rai jointly presented their research titled Traffic Modeling and Multi-Stage Congestion Mitigation Strategy at the 2026 Traffic Engineering Workshop and Transportation Planning Forum. The presentation highlighted collaborative research efforts and provided an opportunity to share their findings with transportation professionals, researchers, and practitioners.
ACEMS Lab Members Participated in the 105th TRB 2026 Annual Meeting and Presented Research(01/15/2026)
At the 105th TRB Annual Meeting (Washington, D.C., January 11–15, 2026), ACEMS members presented latest work and engaged with transportation professionals from academia and industry.
Narayan Rai Introduces the Robotic Car Platform to Industrial Engineering Students(11/13/2025)
Narayan introduced the robotic car platform to Industrial Engineering students in the Lab. He provided an overview of the platform’s main functions, research applications, and ongoing project goals, helping the students better understand how robotic vehicles can be used for transportation research.
Southeastern Wisconsin Transportation Symposium is successfully held(10/10/2025).
The 2025 Southeastern Wisconsin Transportation Symposium, co-hosted by UWM’s Institute for Physical Infrastructure and Transportation (IPIT) and the Wisconsin Department of Transportation (WisDOT), brought together more than 220 transportation professionals, researchers, and students on October 10 at the UWM Student Union—the largest turnout in the event’s history!
Dr. Shi Leads UWM Research on Autonomous Vehicles, Featured in TMJ4 Interview(03/26/2025).
Dr. Shi is interviewed about his research into autonomous vehicle technology, particularly its applications in rural and tribal communities. This initiative is supported by a $1.4 million grant from the U.S. Department of Transportation, part of a larger $15 million allocation aimed at advancing self-driving technologies in less urbanized areas.
Dr. Shi Transforms Traffic Data into Road Safety Solutions(01/22/2025).
The team is developing a data-driven system to improve road safety by tracking risky driving behaviors in real-time. Partnering with the UWM Police Department, they analyze traffic footage using deep learning algorithms to detect behaviors like distracted driving and speeding.
