Biography

Dr. Lingyao Li is an Assistant Professor in the School of Information at the University of South Florida. He completed his postdoctoral training at the University of Michigan School of Information and received his Ph.D. in Civil and Environmental Engineering from the University of Maryland, College Park.

His research leverages artificial intelligence (AI), particularly large language models (LLMs), together with crowdsourced data from social media and mobile devices to address socio-technical challenges in urban informatics and health informatics. A key topic of his work is the concept of citizens-as-sensors, using large-scale, real-world data to study community resilience, disaster impacts, public emotional and behavioral responses, and urban accessibility.

In addition, his recent research investigates the capabilities and design of LLM-based multi-agent systems within these domains, as well as the trustworthiness of LLMs for information retrieval and decision support. His work has been published in leading venues including AAAI, ACL, EMNLP, ICWSM, ACM transaction journals, ASCE journals, International Journal of Information Management, Computers & Education, Sustainable Cities and Society, Computers, Environment & Urban Systems, and International Journal of Disaster Risk Reduction, Journal of Biomedical Informatics, and Journal of Medical Internet Research.