【学术预告】新加坡国立大学Yan Ke博士学术报告-山大软件学院

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学术预告

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【学术预告】新加坡国立大学Yan Ke博士学术报告

发布日期:2019-12-10    作者:     来源:     点击:

题目:Energy Efficiency Solutions in Smart Building Design using Machine Learning Technology

报告时间:2019年12月13日下午13:30-15:00

地点:数字媒体教育部工程研究中心107会议室

Abstract.Artificial intelligence (AI) technology enhanced energy efficiency solutions are highly demanded and among the most important topics in the related fields, such as smart building/city design, applied energy applications, electrical and electronic engineering, automation and constructions. Three topics are covered in this seminar, including: 1)>Dr Yan Kereceived the bachelor’s degree and the Ph.D. degree from the Department of Computer Science, School of Computing, National University of Singapore in 2006 and 2012 respectively. From 2013 to 2014, he was a Post-Doctoral Researcher with the Masdar Institute of Science and Technology, Abu Dhabi, UAE. He is currently an assistant professor with the Department of Building, School of Design and Environment, National University of Singapore (BDG, SDE, NUS). His main research interests include energy efficiency solutions for buildings, time series analysis, machine learning, human-computer interaction, computer graphics and bioinformatics. He is an associate editor of IEEE/ACM Transactions on Computational Biology and Bioinformatics (Q2, Impact Factor: 2.896) and an associate editor of IEEE Transactions on Industrial Informatics (Q1, Top Journal, Impact Factor: 7.377).

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