May 17, 2026, Filed Under: UncategorizedCTR-2026 News / Lab Updates / CTR Symposium 2026 April 8, 2026 INSPIRE Lab Presents Two Posters at CTR Symposium 2026 — EV evacuation and autonomous vehicle behavior discovery On April 8, 2026, INSPIRE Lab presented two research posters at the Center for Transportation Research (CTR) Annual Symposium at UT Austin, showcasing recent work on electric vehicle evacuation and autonomous vehicle identification. Presentation 1 EV Evacuation Express Charging Lanes for Electric Vehicle Evacuation Presenter: Mohammad Reza Ghorbanali Zadegan · Advisor: Dr. Zhaomiao Guo The poster proposed express charging lanes to separate EVs by charging demand at charging stations during evacuations. Two operational frameworks were analyzed — System Optimal (centralized) and User Equilibrium (decentralized) — demonstrating that express lanes can reduce total evacuation delay and improve system performance without adding new infrastructure. Reza presenting alongside Dr. Guo at the CTR Symposium Presentation 2 Autonomous Vehicles SVBRD-LLM: Self-Verifying Behavioral Rule Discovery for Autonomous Vehicle Identification Presenter: Xiangyu Li · Advisor: Dr. Zhaomiao Guo The poster introduced a zero-shot LLM framework that discovers and verifies interpretable behavioral rules for autonomous vehicle (AV) analysis from roadside traffic videos. Using YOLOv26 + ByteTrack trajectories and kinematic/context features, the framework builds a verified library of 20 rules and achieves strong AV identification performance — offering a transparent alternative to opaque classifiers. Xiangyu presenting the SVBRD-LLM framework with Reza Related EVs & Power Systems → Autonomous Mobility → Infrastructure Resilience → All Publications → ← Back to Lab Updates
May 17, 2026, Filed Under: UncategorizedXiangyu welcome News / Lab Updates / New Lab Member August 13, 2025 Welcome Xiangyu Li to INSPIRE Lab — new graduate student joining the team Xiangyu Li Graduate Student INSPIRE Lab is delighted to welcome Xiangyu Li as the newest member of our research team. Xiangyu joins the lab to pursue graduate research at the intersection of artificial intelligence, autonomous driving, and intelligent mobility systems. His research focuses on leveraging large language models, behavioral rule discovery, and multi-modal data fusion to better understand and identify autonomous vehicle behavior in mixed-traffic environments. This work aligns closely with INSPIRE Lab’s portfolio on autonomous mobility and AI-driven decision systems. We look forward to the contributions Xiangyu will bring to the lab and to the broader research community at UT Austin. Research Interests AI & LLMs Autonomous Driving Mobility Systems Related Xiangyu’s Profile → ← Back to Lab Updates
May 17, 2026, Filed Under: UncategorizedCTR 2025 News / Lab Updates / CTR Symposium 2025 April 9, 2025 INSPIRE Lab Presents Green Hydrogen Research at CTR Symposium 2025 — Center for Transportation Research Annual Symposium On April 9, 2025, PhD student Mohammad Reza Ghorbanali Zadegan presented INSPIRE Lab’s research on green hydrogen and heavy-duty freight transportation at the Center for Transportation Research (CTR) Annual Symposium at UT Austin. Reza with Dr. Guo at the CTR Symposium poster session Presentation Green Hydrogen for Heavy-Duty Fuel Cell Electric Vehicles: Facility Planning, Freight Scheduling and Fleet Operation Mohammad Reza Ghorbanali Zadegan, Zhaomiao Guo The work introduces a novel mixed-integer programming (MIP) model for heavy-duty fuel cell electric vehicles (FCEVs), integrating routing & scheduling, freight capacity, and on-site hydrogen production. It emphasizes the role of customer location distribution and hydrogen refueling station (HRS) placement in reducing operational costs and adapting to weather conditions. A case study on the Florida freight network demonstrates how solar-powered hydrogen production can balance cost and environmental footprint while supporting regional decarbonization. The research is part of INSPIRE Lab’s broader portfolio on freight electrification and clean energy integration. Related Freight Transportation → Clean Energy → All Publications → ← Back to Lab Updates
