Associate Professor
Oklahoma State University
Stillwater, OK, United States
Dr. Joshua Q. Li is an Associate Professor and the Williams Professor at the School of Civil and Environmental Engineering, Oklahoma State University (OSU), USA. He possesses a multidisciplinary background in automated infrastructure condition evaluation, sensor instrumentation and data automation, connected and autonomous transportation, transportation safety (highway, rail, airport), pavement design, big data analytics, transportation asset management, driving behaviors and simulation.
Dr. Li's research has received support from numerous prestigious organizations, including the U.S. Department of Transportation (USDOT), Federal Highway Administration (FHWA), Federal Aviation Administration (FAA), National Cooperative Highway Research Program (NCHRP), Southern Plains Transportation Center (SPTC), Oklahoma Highway Safety Office (OHSO), and various state Departments of Transportation.
With over 100 published papers in major journals and international conferences, Dr. Li is a recognized expert in civil infrastructure systems. He serves as an Associate Editor for three esteemed journals: Journal of Infrastructure Systems (ASCE), International Journal of Pavement Research and Technology, and Advances in Data Science and Adaptive Analysis. Additionally, Dr. Li actively participates in numerous professional committees for the American Society of Civil Engineers (ASCE) and the Transportation Research Board (TRB).
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A Systematic Review of Transformer Architecture for Infrastructure Evaluation and Monitoring
Tuesday, June 10, 2025
4:45 PM – 6:00 PM MT
Effects of Pavement and Weather Conditions on Roadway Safety
Tuesday, June 10, 2025
4:45 PM – 6:00 PM MT
Identifying Gaps in Southwest Oklahoma NEMT Transit Networks
Tuesday, June 10, 2025
4:45 PM – 6:00 PM MT
Impact Analysis of Traffic Incidents on Flow Recovery Using Connected Vehicle Data
Tuesday, June 10, 2025
4:45 PM – 6:00 PM MT
Integrated Field Data Collection System to Determine Bridge Dynamic Impact Factor
Tuesday, June 10, 2025
4:45 PM – 6:00 PM MT
Multi-scale Temporal Analysis of Connected Vehicle Data for Safety Analysis
Tuesday, June 10, 2025
4:45 PM – 6:00 PM MT
Sample Adequacy of the HPMS Program: A Case Study in Oklahoma
Tuesday, June 10, 2025
4:45 PM – 6:00 PM MT
Updating Climate Module for Pavement ME Design in Oklahoma
Tuesday, June 10, 2025
4:45 PM – 6:00 PM MT
Enhancing Safety Analysis Through Predictive Modelling at Highway Railroad Crossing
Wednesday, June 11, 2025
10:00 AM – 10:15 AM MT
Deep Learning Techniques for Evaluation of Hang-Up Susceptibility of Highway Railway Grade Crossings
Wednesday, June 11, 2025
10:15 AM – 10:30 AM MT
Multi-Objective Pavement Distress Detection with CNN and Transformer Deep Learning Architectures
Wednesday, June 11, 2025
10:15 AM – 10:30 AM MT