B.S., Automatic Control, Beijing Institute of Technology, China, 1996
M.S., Institute of Automation, Chinese Academy of Sciences, China, 1999
Ph.D., Electrical and Computer Engineering, University of Arizona, 2004
Modeling and simulation, agent and multi-agent systems, complex systems science, modeling methodology, simulation-based design
Dr. Xiaolin Hu’s research interests include modeling and simulation theory and application, agent and multi-agent systems, complex systems science, and simulation-based design methods. His work covers both fundamental research and applications of computer modeling and simulation.
In fundamental research, Dr. Hu is developing the new paradigm of Dynamic Data-Driven Simulation (DDDS), where a simulation system is continually influenced by real-time data streams for better analysis and prediction of a system under study. He is employing Sequential Monte Carlo (SMC) methods (also called Particle Filters) to assimilate real-time sensor data for dynamically adjusting a simulation and its models. The developed methods are applied to simulations of large-scale wildfires. Another line of Dr. Hu’s work is in complex systems science and agent-based modeling for studying complex systems and their emergent behaviors. He is developing this research with a colleague from the Centers for Disease Control and Prevention (CDC) and applying it to the field of child maltreatment and child maltreatment prevention. In addition, Dr. Hu has also been working on discrete event modeling methodologies and a progressive simulation-based design process, with applications to distributed real-time systems.
Dr. Hu’s research has been extensively funded. Currently, he is the lead PI for three National Science Foundation (NSF) projects, including a five-year NSF CAREER project on large-scale spatial temporal data-driven simulation, and a four-year multi-institute million-dollar NSF CDI (Cyber-Enabled Discovery and Innovation) project on integrated weather and wildfire simulation and optimization for wildfire management. Dr. Hu is also supported by a two-year CDC-GSU grant for developing complex systems science modeling and simulation for studying child maltreatment and child maltreatment prevention.
X. Hu and L. Ntaimo, Integrated simulation and optimization for wildfire containment, ACM Transactions on Modeling and Computer Simulation (TOMACS), vol. 19, no. 4, 2009.
X. Hu and R. Puddy, An agent-based model for studying child maltreatment and child maltreatment prevention, Proceedings of the 2010 International Conference on Social Computing, Behavioral Modeling, & Prediction (SBP10), pp. 189–198, 2010.
X. Yan, F. Gu, X. Hu, and S. Guo, A dynamic data driven application system for wildfire spread simulation, Proceedings of the 2009 Winter Simulation Conference (WSC’09), pp. 3121–3128, 2009.
X. Hu and B.P. Zeigler, Model continuity in the design of dynamic distributed real-time systems, IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans, vol. 35, no. 6, pp. 867–878, November 2005.
X. Hu, B. P. Zeigler, and S. Mittal, Variable structure in DEVS component-based modeling and simulation, SIMULATION: Transactions of The Society for Modeling and Simulation International, vol. 81, no. 2, pp. 91–102, 2005.