Xiaolin Hu

News & Events

The DEVS-FIRE API is launched. November 13, 2024.
The Smart and Safe Prescribed Fire website is launched. February 20, 2024.
Computer Science Professor Awarded $2 Million to Support Prescribed Fires, GSU News, August 29, 2023.
Dr. Xiaolin Hu's new book Dynamic Data-Driven Simulation: Real-Time Data for Dynamic System Analysis and Prediction has been published. The book is also available at Amazon, April, 10, 2023 .
Dr. Xiaolin Hu is awarded a new grant (totoal amount: $2.0M) from the NSF Smart and Connected Communities (S&CC) program: Smart and Safe Prescribed Burning for Rangeland and Wildland Urban Interface Communities. July 18, 2023
Dr. Xiaolin Hu is awarded a new NSF grant : FIRE-PLAN:High-Spatiotemporal-Resolution Sensing and Digital Twin to Advance Wildland Fire Science. (08/18/2023 )
Drones Take Their Place on the Cutting Edge of Wildfire Fighting, FlyingMag.com, October 7, 2021.
Dr. Xiaolin Hu serve as the general chair for the 2021 Annual Modeling and Simulation (ANNSIM) Conference.
GSU professor developing drones to help fight wildfires, WSB-TV Channel 2 News, March 25, 2019.

Dr. Xiaolin Hu is a Professor and Director of Undergraduate Studies, and Director of the Systems Integrated Modeling and Simulation (SIMS) Lab of Computer Science Department at Georgia State University. He received his Ph.D. degree from the University of Arizona, Electrical and Computer Engineering Department in 2004.

Dr. Hu was a National Science Foundation (NSF) CAREER Award recipient. His research interests include modeling and simulation theory and application, data assimilation, complex systems science, agent and multi-agent systems, and advanced computing in parallel and cloud environments. His work covers both fundamental research and applications of computer modeling and simulation. Recent works include developing Dynamic Data-Driven Simulation (DDDS) as a new simulation paradigm that systematically assimilates real-time sensor data from a system under study (see new book below). The developed methods have been applied to applications such as large-scale wildfire spread simulations. Another line of work includes studying adaptive behaviors and developing multi-agent coordination mechanisms for autonomous systems such as unmanned aircraft systems (UAS). He also developed agent-based modeling and simulation for complex social and public health systems. His research has been supported by the National Science Foundation (NSF), United States Department of Agriculture (USDA), Centers for Disease Control and Prevention (CDC), and Oak Ridge National Laboratory (ORNL).

Dr. Hu served as chairs for many international conferences/symposiums in the field of modeling and simulation, and is associate editors for ACM Transactions of Modeling and Computer Simulation (TOMACS), Simulation: Transaction of The Society for Modeling and Simulation International, International Journal of Modeling, Simulation, and Scientific Computing (IJMSSC), and International Journal of Agent Technologies and Systems (IJATS). He published more than 100 technical papers, served as review panelist for NSF and NIH, and gave many colloquium/invited talks.

Dr. Hu is a senior member of IEEE and a senior member of SCS.

New Book

Dynamic Data-Driven Simulation: Real-Time Data for Dynamic System Analysis and Prediction (World Scientific link, Amazon link)