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, Complex Systems Science; Agent and Multi-agent Systems, Autonomous Agents, Advanced Computing in Parallel and Cloud environments.
Dr. Xiaolin Hu’s research interests include modeling and simulation, complex systems science, agent and multi-agent system, and advanced computing in parallel and cloud environments. His work covers both fundamental research and applications of computer modeling and simulation.
In fundamental research, Dr. Hu has been developing Dynamic Data-Driven Simulation (DDDS), where a simulation system is continually influenced by real-time data for better analysis and prediction of a system under study. He employs Sequential Monte Carlo (SMC) methods (also called Particle Filters) to assimilate real-time sensor data to dynamically adjust a simulation and its models. The developed methods are applied to large-scale wildfire simulations and other applications. On the topic of agent and multi-agent systems, he studies autonomous agent behavior and develops multi-agent coordination mechanisms for autonomous systems such as unmanned aircraft systems and autonomous robots. Dr. Hu also works on modeling and simulation methodologies and agent-based modeling and simulation for studying complex systems and their emergent behaviors.
Dr. Hu’s research has been well funded. Currently, he is the lead PI for several research projects, including a project funded by the National Science Foundation (NSF), and a multi-institute project funded by the United States Department of Agriculture (USDA) National Institute of Food and Agriculture (NIFA) to develop technologies of unmanned aircraft systems for supporting wildfire management, His past research was funded by NSF, Centers for Disease Control and Prevention (CDC) and Oak Ridge National Laboratory (ORNL).
Keller, X. Hu, Towards Data-Driven Simulation Modeling for Mobile Agent-Based Systems, ACM Transactions on Modeling and Computer Simulation (TOMACS), 29(1):1-26 · February 2019
Long, X. Hu, Spatial Partition-Based Particle Filtering for Data Assimilation in Wildfire Spread Simulation, ACM Transactions on Spatial Algorithms and Systems (TSAS), Volume 3 Issue 2, Article No. 5, August 2017
Bai, F. Gu, X. Hu, S. Guo, Particle Routing in Distributed Particle Filters for Large-Scale Spatial Temporal Systems, IEEE Transactions on Parallel and Distributed Systems (TPDS), Volume 27, Issue 2, pp 481-493, 2016
Dahl, H. Xue, X. Hu, M. Xue, Coupled Fire-Atmosphere Modeling of Wildfire Spread Using DEVS-FIRE and ARPS, Natural Hazards, Volume 77, Issue 2, pp 1013-1035, 2015
Hu, N. Keller, Agent-based Simulation of Child Maltreatment and Child Maltreatment Prevention, Journal of Artificial Societies and Social Simulation (JASSS), 18 (3) 6, 2015
Xue, F. Gu, X. Hu, Data Assimilation Using Sequential Monte Carlo Methods in Wildfire Spread Simulation, The ACM Transactions on Modeling and Computer Simulation (TOMACS), Vol. 22, No. 4, Article No. 23, 2012
Hu, Y. Sun, L. Ntaimo, DEVS-FIRE: Design and Application of Formal Discrete Event Wildfire Spread and Suppression Models, SIMULATION, Vol. 88, No. 3, pp. 259-279, 2012
Qiu, X. Hu, Modeling Group Structure in Pedestrian Crowd Simulation, Simulation Modelling Practice and Theory (SIMPAT), Vol. 18, Issue 2, pp. 190-205, 2010
Hu and L. Ntaimo, Integrated simulation and optimization for wildfire containment, ACM Transactions on Modeling and Computer Simulation (TOMACS), vol. 19, no. 4, 2009.