報告人：Branko Ristic
邀請人：賀昱曜
時 間：2017年7月11日 上午9:00
地 點：航海學院201會議室
主 題：Surveillance applications of sensor fusion and control
報告簡介：
基于貝葉斯框架融合傳感器信息，序貫估計系統狀態變量的后驗概率，以及馬爾科夫序貫決策控制傳感器行為以達到感知性能最優。
The talk focuses on Bayesian framework for senor fusion, where from noisy, indirect, partial and sporadic observations of a stochastic dynamic system, the goal is to estimate sequentially (over time) the posterior density function of the state of the system. Sensor control is posed as a partially observed Markov decision process, where the goal is sequential decision making on future sensor actions so that the overall utility of sensing is maximized.
報告人介紹：
Branko Ristic博士，澳大利亞皇家墨爾本理工大學工程學院首席研究員。1995年于昆士蘭理工大學（QUT）獲得電氣工程專業博士學位，1996-2015年任職于澳大利亞國防科學技術委員會，擔任國際頂級期刊IEEE Trans on Single Processing副主編（2013-2015）、Information Fusion編輯。其研究方向主要為：信息融合、目標跟蹤、統計信號處理、傳感器控制、機器人等。發表了期刊論文和書籍章節80余篇，并著有兩本專著。獲得2014年IET RSN Premium Award學術獎，2005和2009年Information Fusion conferences、2005和2009年DICTA conferences最佳論文獎。
Dr. Branko Ristic is Principal Research Fellow at School of Engineering in RMIT University. He received Ph.D. in Electrical Engineering from QUT (Australia) in 1995 and joined Defence Science and Technology (DST) in 1996 where he stayed until 2015. Dr. Ristic serves as associate editor of IEEE Trans. on Single Processing (2013-2015) and board member of Information Fusion Journal. His research interests are information fusion, target tracking, statistical signal processing, sensor control, and robotics. Dr. Ristic published over 80 journal papers and book chapters and two influential books. He won several awards for his publications, including the IET RSN Premium Award in 2014, and the best paper awards at Information Fusion conferences in 2005 and 2010, and DICTA conferences in 2005 and 2009.
