报告题目：Bayesian Networks and Data Fusion 报告人：Professor KC Chang， George Mason University，Department of Systems Engineering and Operations Research，Fairfax, VA 22030, USA
时间：10月28日（周四）下午3：30地点：数计学院5号楼107教室Abstract
Distributed information and data fusion with a suite of sensor systems provide core capabilities to numerous applications such as situational awareness, surveillance, navigation, and tracking. Developing a general fusion methodology for distributed sensor network systems offers unprecedented applicability to problems in a wide variety of military and commercial operational environments.
To fully exploit the capabilities of networked sensor systems, modeling and performance evaluation methodologies are also critical in order to optimally design and effectively evaluate fusion performance of multiple heterogeneous sensor data. For better supporting decision process, the fusion methodologies need to be integrated with a sound theoretic framework by incorporating decision maker’s mission specific requirements.
This presentation will summarize GMU’s recent research on Bayesian inference and its application on sensor data fusion. Specifically, the focus will be on scalable distributed fusion methodology and Bayesian performance modeling.
报告人简介：
KC Chang, PhD EE, IEEE Fellow
Professor Kuo-Chu Chang is an internationally recognized expert in multi-sensor data fusion and Bayesian network technologies. In past twenty-five years, he has conducted research on a wide range of distributed data fusion and probabilistic reasoning problems. His recent research projects include Missile Defense Agency (MDA) multi-sensor fusion and discrimination, Defense Advanced Research Projects Agency (DARPA) Dynamic Tactical Targeting, Air Force Office of Scientific Research (AFOSR) Information Fusion and Performance Modeling, and Office of Naval Research (ONR) Distributed Fusion in Sensor Networks with Information Genealogy. He is the Director for the Sensor Fusion Lab at George Mason University. Dr. Chang received his M.S. and Ph.D. degrees in Electrical Engineering from the University of Connecticut in 1983 and 1986 respectively. From 1983 to 1992, he was a senior research scientist in Advanced Decision Systems (ADS) division of Booz-Allen & Hamilton. In 1992, he joined the Systems Engineering and Operations Research Department of George Mason University, where he is currently a full professor. He is visiting the Electrical Engineering department of National Taiwan University in the Fall 2010.
Dr. Chang has published more than one hundred and sixty papers in the areas of multi-target tracking, distributed sensor fusion, and Bayesian networks technologies. He was the Editor on Tracking/Navigation Systems of IEEE Transactions on Aerospace and Electronic Systems from 1993 to 1996, and the Editor on Large Scale Systems of the same transaction from 1996 to 2006. He was also an Associate Editor of IEEE Transactions on Systems, Man, and Cybernetics from 2002 to 2007. He was the Technical Program Co-chair of the 2009 International Conference on Information Fusion, July 6-9, Seattle, USA.
Dr. Chang has recently been named an IEEE Fellow for his contribution on “sensor data fusion and Bayesian probabilistic inference”.
数计学院科研办
2010.10.26
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