Yueqing Li

Dr. Yueqing Li serves as an Associate Professor in the Department of Industrial and Systems Engineering within Lamar University's College of Engineering. His expertise spans neuroergonomics, human-computer interaction, and data analytics with significant contributions to transportation safety and assistive technologies.

Dr. Li's educational foundation includes:

• Ph.D. in Industrial Engineering from North Carolina State University
• M.S. in Industrial Engineering from University of Arkansas
• M.S. in Economics from Nanjing University of Aeronautics and Astronautics
• B.S. in Electronics Engineering from Zhengzhou University

His research program integrates neuroergonomics (BCI systems, neurocognitive processing), human-computer interaction (haptic interfaces, AR-based systems), human factors engineering (driving safety, occupational ergonomics), and data science (machine learning applications for safety analytics). Current projects focus on UAV security systems, pipeline leak detection, and transportation resilience in extreme weather.

Analysis of Dr. Li's 15 most recent publications reveals dominant themes in transportation safety (32% of works), neuroergonomics applications (28%), and machine learning for safety engineering (24%). His Southeast Texas-focused crash severity studies demonstrate methodological innovation through CART and fuzzy systems, while his BCI research bridges rehabilitation engineering and human factors.

Key recognitions include:

• Engineering Faculty Fellow (Lamar University College of Engineering, 2017-2020)
• Eric Malstrom Endowed Memorial Scholarship (University of Arkansas)
• Multiple university-level teaching and research awards across three institutions

Dr. Li actively mentors graduate students (11 primary advisees since 2017) and secures substantial research funding, including $516,031 from NSF for high-performance computing infrastructure and $33,172 from the Center for Advances in Port Management for autonomous freight safety. His $600,000+ grant portfolio addresses critical challenges in port security, pipeline monitoring, and transportation resilience.

The Human Factors and Ergonomics Laboratory under Dr. Li's direction features 16-channel EEG systems, BIOPAC data acquisition suites, wireless EMG/ECG modules, driving simulators, and Gazepoint eye tracking technology. His research team collaborates with TEES and the Texas Department of Transportation on interdisciplinary projects spanning neuroergonomics, transportation safety, and assistive technology development.