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西安电子科技大学 IEEE TOP期刊主编 学术报告会
时间:2016-10-24 16:44   点击:   所属单位:电子工程学院
2016年10月29日(星期六) 15:00-18:00
西安电子科技大学北校区图书馆西裙楼三楼报告厅
15:00             签到
15:30             报告会开始
15:30-16:20    特邀专家:Kay Chen Tan,IEEE Transactions on Evolutionary Computation主编
报告题目:Evolutionary Computing at Work: Opportunities and Challenges
16:20-17:10    特邀专家:Haibo He,IEEE Transactions on Neural Networks and Learning Systems主编
报告题目:Learning with Imbalance
17:10-17:30  Panel讨论
17:30       集体合影
承办单位:智能感知与图像理解教育部重点实验室计算智能研究中心(OMEGA)
计算机学院
国际合作与交流处
 
特邀专家:Kay Chen Tan

简介: Dr. Kay Chen Tan received the B. Eng degree with First Class Honors in Electronics and Electrical Engineering, and the Ph.D. degree from the University of Glasgow, Scotland, in 1994 and 1997, respectively. He is actively pursuing research in computational and artificial intelligence, with applications to multi-objective optimization, scheduling, automation, data mining, and games. Dr. Tan has published over 100 journal papers, over 100 papers in conference proceedings.
Dr. Tan is a Fellow of IEEE. He is the awardee of the 2012 IEEE Computational Intelligence Society Outstanding Early Career Award for his contributions to evolutionary computation in multi-objective optimization. Dr. Tan was the Editor-in-Chief of IEEE Computational Intelligence Magazine (2010-2013). He is currently the Editor-in-Chief of the IEEE Transactions on Evolutionary Computation.
 
特邀专家:Haibo He
 
简介: Prof. Haibo He received the B.S. and M.S. degrees in electrical engineering from the Huazhong University of Science and Technology, Wuhan, China, in 1999 and 2002, respectively, and the Ph.D. degree in electrical engineering from Ohio University, Athens, OH, USA, in 2006. He is currently the Robert Haas Endowed Chair Professor with the Department of Electrical, Computer and Biomedical Engineering, University of Rhode Island, Kingston, RI, USA. He has published over 200 peer-reviewed journal and conference papers. His current research interests include adaptive dynamic programming, computational intelligence, self-adaptive systems, machine learning, and data mining.
Prof. He was a recipient of the National Science Foundation CAREER Award in 2011, IEEE Computational Intelligence Society Outstanding Early Career Award in 2014. He is currently the Editor-in-Chief of the IEEE Transactions on Neural Networks and Learning Systems.
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