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“驭远论坛”学术报告-Peter B. Luh教授

2011-06-01  

6月1日下午,我院创办的北航“驭远论坛”首场报告会在新主楼E706会议室开讲。yl6809永利官网有幸邀请到了美国康涅狄格大学的自动化工程领域国际著名学者、IEEE Fellow陆宝森(Peter B. Luh)教授做了一场关于“Smart Building Smart Grid and HVAC Fault Detection/Diagnosis”和“How to Conduct High-Impact Research”的学术报告。陆宝森教授学术造诣深厚,早年获麻省理工学院的硕士和哈佛大学的博士,曾担任《IEEE Transactions on Robotics and Automation》主编,《IEEE Transactions on Automation Science and Engineering》的创刊主编。

报告开始前,yl6809永利官网院长焦宗夏教授、副院长王少萍教授等与陆宝森做了交流,学术报告会由王少萍教授主持。陆教授从工程实际和学术前沿角度对智能楼宇、智能电网及故障诊断等前沿技术做了评述,并指出了该领域的发展方向和关键技术问题。随后,陆教授结合自己的学术经历,从哲学和学术角度介绍了如何做高水平学术研究、如何撰写并发表高水平学术论文、如何规划自己的学术人生等。陆教授的报告生动活动,富有很强的启发性,场下座无虚席,大家踊跃提问,互动性强。

陆宝森(Peter B. Luh)教授简介:

Peter B. Luh received his B.S. in Electrical Engineering from National Taiwan University, M.S. in Aeronautics and Astronautics from M.I.T., and Ph.D. in Applied Mathematics from Harvard University. He has been with the University of Connecticut since 1980, and currently is the SNET Professor of Communications & Information Technologies and was the Head of the Department of Electrical and Computer Engineering from 2006 to 2009. He is also a member of the Chair Professors Group, Center for Intelligent and Networked Systems in the Department of Automation, Tsinghua University, Beijing, China. Professor Luh is a Fellow of IEEE, the Vice President for Publication Activities for IEEE Robotics and Automation Society, and was the Editor-in-Chief of IEEE Transactions on Robotics and Automation (1999-2003) and the founding Editor-in-Chief of the IEEE Transactions on Automation Science and Engineering (2003-2007).

His interests include optimized operations and fault detection/diagnosis of building equipment for efficiency and sustainability; design of auction methods and optimized operations of power systems with intermittent renewable generation; electricity load and price forecasting with demand response; planning, scheduling, and coordination of design, manufacturing, and service activities; decision-making under uncertain, distributed, or antagonistic environments; and mathematical optimization for large-scale problems.

上一条:“驭远论坛”学术报告-王凌教授 下一条:“降低低压电力线OFDM系统峰均比的低复杂度改进SLM算法”和“高压电气设备在线监测与故障诊断技术”

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