Invited Speakers

Yan Xu
Nanyang Technological University, Singapore

Bio: Dr Xu received his B.E. and M.E. degrees from South China University of Technology, Guangzhou, China, in 2008 and 2011, and PhD degree from University of Newcastle, Newcastle, Australia, in 2013, all in electrical engineering. He is now holding the Nanyang Assistant Professorship at NTU Singapore, and also a Cluster Director at Energy Research Institute @ NTU (ERI@N).

Prior to joining NTU, he held the University of Sydney Postdoctoral Fellowship in Australia. Between 2009 and 2011, he was with Hong Kong Polytechnic University, and from late 2015 to early 2016, he was with Electric Power Research Institute of China Southern Grid. He has published 105 SCI-indexed journal papers (including 65 in IEEE Transactions and 23 in IET journals), as well as over 50 international conference papers. 6 of his publications are listed as the “web-of-science highly cited paper”. He has also received 7 paper contest awards and conference best paper awards from IEEE and IET. His research outcomes have been practically applied by power utilities in Australia, USA, Hong Kong, Macau, and China Mainland.
In Singapore, his research is funded by National Research Foundation (NRF), Ministry of Education (MOE), Energy Market Authority (EMA), Housing & Development Board (HDB), DSO National Laboratories, Rolls-Royce, etc. He has also been collaborating with a number of universities in Australia, China, Hong Kong, UK, Denmark, France, Switzerland, US. 

Senior Member of the IEEE, Dr Xu is serving as an Editor for IEEE Transactions on Smart Grid and a committee member for IEEE PES Singapore Chapter.​

Research Interests​: Renewable-energy power system's stability, control, and optimization, Data-analytics for smart grid applications, Microgrid and multi-energy system, Electric vehicle integration to grid.

Zijun Zhang
City University of Hong Kong, Hong Kong, China

Bio: Prof. Zhang received his Ph.D. and M.S. degrees in Industrial Engineering from the University of Iowa, Iowa City, IA, USA, in 2012 and 2009, respectively, and B.Eng. degree in Systems Engineering and Engineering Management from the Chinese University of Hong Kong, Hong Kong, China, in 2008.
Prof. Zhang's research focuses on data mining and computational intelligence with applications in modeling, monitoring, optimization and operations of systems in the renewable energy, energy saving, and intelligent transportation. 2022, 2023 “Stanford's top 2% most highly cited scientists” The Stanford's list of top 2% most cited scientists.

Mingyang Sun
Peking University, China

Bio: TBA
简介：孙铭阳，研究员、博雅青年学者、博士生导师, IEEE Senior Member。入选国家高层次青年人才计划，全球2%顶尖科学家，中国科协“青年人才托举工程”、浙江省特聘专家、浙江省“万人计划”青年拔尖人才，兼任英国帝国理工学院Honorary Lecturer。毕业于英国帝国理工学院控制与电力研究所，师从英国能源系统专家Goran Strbac教授。2024年6月加入北京大学工学院、工业工程与管理系, IDEAL-Lab 低碳能源系统智能决策实验室负责人。

多年来一直从事智能电网和能源系统领域优化和智能决策等关键问题的研究，主要研究内容包括基于人工智能的能源系统调度控制、能源大数据分析、建模与预测、能源系统优化规划等国际前沿热点课题。受邀担任工业信息领域国际顶级期刊IEEE Trans. on Industrial Informatics、IET Smart Grid编委和Applied Energy、Advances in Applied Energy首席客座编委。研究成果发表/录用Nature Communications、能源与电力顶刊IEEE Trans. on Power Systems、IEEE Trans. on Smart Grid、Applied Energy、人工智能旗舰会议AAAI(CCF-A)、IJCAI (CCF-A)、安全四大顶会USENIX Security、NDSS等论文80余篇。ESI高被引论文3篇，入选Applied Energy近五年高被引论文TOP25。获得IEEE Trans. on Smart Grid 2023年度最佳论文奖、IEEE电力与能源协会最高级别学术年会2016 IEEE PES-GM会议最佳论文奖、2016 PMAPS会议最佳论文奖及IEEE TrustCom 2022 最佳论文奖。

任中国自动化学会新能源与储能系统控制专委会委员、青年工作委员会委员、IEEE PES 中国区电力系统运行、规划与经济技术委员会常务理事，2019 Global Automation & Control Workshop程序主席，中国计算机学会CCF YOCSEF杭州副主席。主持多项国家自然科学基金项目、项目课题、国家重点研发计划子课题、省重点项目、CCF科研获奖项目等。曾参与承担多个英国、欧盟重大科研项目，其中包括欧盟“地平线2020计划”项目EU-SysFlex(2000万欧元)、全球首个泛欧洲电网动态安全评估项目iTesla（欧盟第七框架计划FP7支持, 1940万欧元），英国最大型智能电网试验项目LCL (2830万英镑)，世界首个具有全需求侧灵活性的规模化智能混合热泵试验项目FREEDOM (520万英镑)等。与英国、法国、澳大利亚、美国等国家的科研机构与知名学者保持联系与密切合作，其中包括IEEE Control Systems Society主席Thomas Parisini教授（IFAC/IEEE Fellow）、英国皇家工程院院士Tim Green教授（IEEE Fellow），IEEE TAC主编Alessandro Astolfi教授（IFAC/IEEE Fellow）等。

Ce Shang
Shanghai Jiao Tong University, China

Bio: TBA

Zhouyang Ren
Chongqing University, China

Bio: TBA
简介：任洲洋，博士（后），IEEE Senior Member，副教授，博士生导师。主要从事智慧能源优化运行与规划、电力系统人工智能等领域的研究和工程实践工作。近五年，主持国家自然科学基金项目、科技部高端外国专家引进项目、院士基金等近10项；作为主研人参与国际合作重点项目、国家重点研发项目、加拿大NSERC、加拿大BC Hydro、国家电网、南方电网等资助的各类项目近20项；以第一完成人获得省部级自然科学二等奖一项；发表IEEE Trans.等高水平SCI/EI论文20余篇，申请国家发明专利10余项，授权5项，另外，参与制定国际标准1项。

担任IET Renewable Power Generation(SCI二区)等国际电力领域知名期刊的副主编、IEEE PES新能源电力系统调度运行技术委员会副主席、IEEE Standard 859 Working Group委员、APPEEC技术委员会主席等，共有20余个国内外学术兼职。在IEEE PES General Meeting等国际会议上多次策划、组织Panel Session/Special Session，做大会特邀报告和邀请报告近10次，

Yinliang Xu
Tsinghua University (Shen Zhen), China

Bio: TBA
简介：主要研究领域包括智能电网先进控制，分布式控制与优化算法，低碳能源系统优化等，组织实施和参与了多个网、省、地综合能量管理系统。IEEE协会高级会员，在国内外重要学术期刊和国际会议上发表论文及报告130余篇，其中发表/已录用SCI检索论文100余篇（以第一或通讯作者发表SCI论文65篇,电气工程领域国际顶级 IEEE transaction论文50篇），出版第一作者专著一本。2020, 2021连续两年入选由斯坦福大学John P.A.Ioannidis教授团队与Elsevier旗下Mendeley Data发布的“全球前2%顶尖科学家榜单”

Yi Wang
The University of Hong Kong, Hong Kong, China

Bio: TBA

Can Wan
Zhejiang University, China
万灿，浙江大学

Bio: TBA

Yijun Xu
Southeast University, China
徐一骏，东南大学

Bio: Dr. Yijun Xu is a full professor at Southeast University, Nanjing, China. He received his Ph.D. degree from the Bradley Department of Electrical and Computer Engineering at Virginia Tech, Falls Church, VA, in December 2018. He worked as a research assistant professor at Virginia Tech-Northern Virginia Center, Falls Church, VA, in 2021. He was a postdoc associate at the same institute from 2019 to 2020.
He did a computation internship at Lawrence Livermore National Laboratory, Livermore, CA, and a power engineer internship at ETAP -- Operation Technology, Inc., Irvine, California, in 2018 and 2015, respectively.

His research interests include power system uncertainty quantification, uncertainty inversion, and decision-making under uncertainty. Dr. Xu is currently serving as an Associate Editor of the IET Generation, Transmission & Distribution, an Associate Editor of the IET Renewable Power Generation, and the Young Editor of the Power System Protection and Control. He is the co-chair of the IEEE Task Force on Power System Uncertainty Quantification and Uncertainty-Aware Decision-Making.