面向电力系统的多维感知与智能控制
Multidimensional Perception and Intelligent Control for Power System
时间：2024年7月12日-7月26日，具体上线时间另行通知
授课方式：线上授课，具体方式另行通知。
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授课教师及其讲座内容：
1. 课程或讲座题目：关于机器人的控制、学习与远程操作（上线时间：2024年7月12日19:00 上线方式通过qq群通知）
Topics: Robot Control, Learning and Teleoperation
授课教师简介：
Introduction of lecturer:
杨辰光教授
Professor Chenguang (Charlie) Yang
杨辰光教授是英国利物浦大学计算机科学系机器人学系主任，他曾是西英格兰大学布里斯托尔分校的机器人学教授，领导布里斯托尔机器人实验室的机器人远程操作小组。他是电气和电子工程师协会(IEEE)、工程技术协会(IET)、机械工程师学会(IMechE)、Aisa-Pacific AI协会(AAIA)和英国计算机学会(BCS)的会员,是IEEE柔性制造协作自动化技术委员会（CAFM）的通讯联合主席，《Robot Learning》的主编，《Robotics of Frontiers in Robotics and AI》的机器人计算智能特约主编，以及《IEEE Transactions on System，Man and Cybernetics：Systems》的高级编辑。他曾担任英国中国自动化与计算学会（CACSUK）主席，并曾担任第27届自动化与计算国际会议（ICAC）和第25届IEEE工业技术国际会议（ICIT）的主席。他获得了EPSRC创新奖学金（2018-21）和欧盟FP-7玛丽居里国际奖学金（2011-13）。作为第一作者，他获得了著名的IEEE Transactions on Robotics最佳论文奖（2012年）和IEEE Transactions on Neural Networks and Learning Systems杰出论文奖（2022年）。
Professor Chenguang (Charlie) Yang holds the Chair in Robotics with Department of Computer Science, University of Liverpool, UK. He was a Professor of Robotics with University of the West of England, Bristol, leading Robot Teleoperation Group at Bristol Robotics Laboratory. He is a Fellow of Institute of Electrical and Electronics Engineers (IEEE), Institute of Engineering and Technology (IET), Institution of Mechanical Engineers (IMechE), Aisa-Pacific AI Association (AAIA), and British Computer Society (BCS). He is the corresponding Co-Chair of IEEE Technical Committee on Collaborative Automation for Flexible Manufacturing (CAFM), an Editor-in-Chief of Robot Learning, a Specialty Chief Editor for Computational Intelligence in Robotics of Frontiers in Robotics and AI, and a Senior Editor of IEEE Transactions on System, Man and Cybernetics: Systems. He was the President of Chinese Automation and Computing Society in the UK (CACSUK), and have served as general chair of the 27th International Conference on Automation and Computing (ICAC) and the 25th IEEE International Conference on Industrial Technology (ICIT). He was awarded EPSRC Innovation Fellowship (2018-21) and EU FP-7 Marie Curie International Incoming Fellowship grant (2011-13). As the lead author, he received the prestigious IEEE Transactions on Robotics Best Paper Award (2012) and IEEE Transactions on Neural Networks and Learning Systems Outstanding Paper Award (2022).
2. 课程或讲座题目：微机电器件原理与工艺
Topics:Principles and Fabrication Processes of Microelectromechanical Devices
授课教师简介：
Introduction of lecturer:
李运甲教授
Professor Yunjia Li
李运甲教授毕业于瑞士苏黎世联邦理工学院的微纳米系统研究所，是beat365 手机版官方网站电气学院的博士生导师。他是IEEE/ASME JMEMS编委指委会(Steering Committee)成员，IEEE工业电子学会MEMS专委会主席，IEEE工业电子学会执委会(AdCom)成员，IEEE纳米技术委员会执委会(AdCom)成员，IEEE工业电子学会论文委员会(PubCom)成员，IEEE工业电子学会技术常委会成员，还是IEEE Transactions on Industrial Electronics副主编。他的研究方向包括MEMS传感器、执行器与能量采集器的设计、制造及封装技术，MEMS器件的算法、电路及系统集成方法以及MEMS器件的可靠性研究。
ProfessorYunjia Li graduated from the MicroandNanosystems at the Swiss Federal Institute of Technology Zurich and is a doctoral supervisor at the School of Electrical Engineering at Xi'an Jiaotong University. He is a member of the IEEE/ASME JMEMS Editorial Committee, Chairman of the MEMS Committee of the IEEE Institute of Industrial Electronics, Executive Committee Member of the IEEE Institute of Industrial Electronics (AdCom), Executive Committee Member of the IEEE Nanotechnology Committee (AdCom), Paper Committee Member of the IEEE Institute of Industrial Electronics (PubCom), Technical Standing Committee Member of the IEEE Institute of Industrial Electronics, and Deputy Editor in Chief of IEEE Transactions on Industrial Electronics. His research areas include the design, manufacturing, and packaging technology of MEMS sensors, actuators, and energy harvesting devices, algorithms, circuit and system integration methods of MEMS devices, and reliability research of MEMS devices.
3.课程或讲座题目：风电场的概率预测与随机预测控制
Topics:Probabilistic Forecasting and Stochastic Predictive Control of Wind Farm
授课教师简介：
Introduction of lecturer:
寇鹏教授
Professor Peng Kou
寇鹏教授毕业于beat365 手机版官方网站，是美国俄亥俄州立大学的访问学者，目前是beat365 手机版官方网站电气学院的博士生导师。他是IEEE高级会员，2021年斯坦福大学世界前2%科学家，电气绝缘与电力设备国家重点实验室成员和陕西省智能电网重点实验室成员。他担任《航空动力学报》的青年编辑，国家自然科学基金项目审稿人，除此之外，他还是《IEEE Transactions on Smart Grid》，《IEEE Transactions on Sustainable Energy》，《IEEE Transactions on Industrial Electronics》等国际顶级期刊的审稿人。他的研究方向包括电力系统预测与控制，可再生能源与智能电网，分布式电力推进飞机与机器学习等。
Professor Peng Kou graduated from Xi 'an Jiaotong University, is a visiting scholar at Ohio State University, USA, and is currently the doctoral supervisor of the School of Electrical Engineering at Xi 'an Jiaotong University. He is a senior member of IEEE, Stanford University World's Top 2% Scientists 2021, andtheFaculty member of the State Key Laboratory of Electrical Insulation and power equipment and the Shaanxi Key Laboratory of Smart Grid. He is the Youth Editor of the Journal of Aerospace Power, a reviewer for the projects of National Natural Science Foundation of China. In addition, he is also a reviewer for top international journals such as IEEE Transactions on Smart Grid, IEEE Transactions on Sustainable Energy, and IEEE Transactions on Industrial Electronics. His research interests include power system prediction and control, renewable energy and smart grids, distributed electric propulsion aircraft and machine learning.
4. 课程或讲座题目：高压技术在新型电力系统中的发展机遇
Topics:Development Opportunities of High Voltage Technology for New Power Systems
授课教师简介：
Introduction of lecturer:
陈向荣教授
Professor Xiangrong Chen
陈向荣老师是浙江大学教授，2020年3月起任电力系统自动化研究所所长，2017年1月起任浙江大学先进高压输电新技术研究所所长。2020-2021年任ZJU- UIUC联合研究所副院长，2021年5月起任《IEEE Transactions on Dielectrics and Electrical Insulation》副主编。2017年7月至8月，他在东京城市大学田中康弘教授的实验室担任访问学者。在到浙江大学工作之前，他在瑞典查尔姆斯理工大学高压工程系完成了为期四个月的博士后研究，2012-2016年担任助理教授，2016年起担任副教授。他在2011年毕业于beat365 手机版官方网站电气工程专业，获得博士学位。他的主要研究方向为先进介质材料+新一代测量传感技术、先进电力设备+新一代电网、高压新技术。他是IEEE的高级成员和CIGRE SC B2的成员。他发表国际论文120余篇，其中在IEEE Trans上发表论文70余篇。
Xiangrong Chen is a Professor of Zhejiang University (ZJU), Head of the Institute of Power System Automation since March 2020 and Head of the Advanced High Voltage Power Transmission New Technology of ZJU since Jan. 2017, Vice-Dean of ZJU-UIUC Institute in 2020-2021, Associate Editor for the IEEE Transactions on Dielectrics and Electrical Insulation since May 2021. He worked as a visiting scientist at Professor Yasuhiro Tanaka's laboratory in Tokyo City University from July to August 2017. Before his appointment at ZJU, he completed a four-month post-doctoral research fellow at the Division of High Voltage Engineering of Chalmers University of Technology in Sweden, where he had been worked as an Assistant Professor from 2012-2016, and Associate Professor since 2016. He holds a Dr. Eng. in Electrical Engineering from the Xi’an Jiaotong University (XJTU), Xi’an, China in 2011. His research activities concentrate on Advanced dielectric materials+new generation measuring and sensing technology, Advanced power equipment+new generation power grid, High voltage new technology. He is a Senior Member of IEEE and a Member of CIGRE SC B2. He has published more than 120 papers with over 70 papers in IEEE Trans. and other well-recognized International Journals.
5. 课程或讲座题目：无线电力传输系统（WPT）：应用和案例研究（上线时间：2024年7月20日19:30 上线方式通过qq群通知）
Topics:Wireless Power Transfer (WPT) Systems: Applications and Case Studies（Online time: July 20,2024, pm19:30）
授课教师简介：
Introduction of lecturer:
Mohamad Abou Houran副教授
Mohamad Abou Houran|PhD| SMIEEE
Mohamad Abou Houran于2020年3月获得beat365 手机版官方网站博士学位，并于2020年6月被任命为beat365 手机版官方网站青年人才计划的助理教授。现为beat365 手机版官方网站终身副教授。他成功领导并完成了两个国家项目，得到了国家自然科学基金和科技部的资助。目前参与国家重点研发项目等6个科研项目。他的研究兴趣包括无线功率传输（WPT）系统、超材料、电磁铁、新能源技术和深度学习优化。发表论文61余篇，其中SCI论文21篇为第一作者，发表于IEEE Transactions (CAS, TVT)、Applied Energy、Applied Thermal Engineering、Journal of Energy Storage等顶级期刊。此外，他还作为第一作者撰写了2篇ESI高引用论文和6篇高级别会议论文。他于2022年成为IEEE高级成员，还是IEEE PELS成员，并担任PLOS ONE的学术编辑，并为IEEE、ELSEVIER和IOP发表的著名期刊审阅了130多篇论文。
He received his Ph.D. degree from Xi'an Jiaotong University (XJTU) in March 2020 and was appointed to the YoungTalentProgram of Xi'an Jiaotong University in June 2020, starting as an Assistant Professor. Currently, he is a Tenure-Track Associate Professor in the School of Electrical Engineering of Xi'an Jiaotong University. He has successfully led and completed two national projects, supported by grants from the National Natural Science Foundation of China (NSFC) and the Ministry of Science and Technology. He is currently participating in 6 scientific research projects, including national key R&D projects. His research interests include wireless power transfer (WPT) systems, metamaterials, electromagnets, new energy technologies, and deep learning optimization. He has published more than 61 papers, with 21 SCI papers as the first author, which have been published in top journals such as IEEE Transactions (CAS, TVT), Applied Energy, Applied Thermal Engineering, Journal of Energy Storage, among others. Additionally, he authored 2 ESI Highly Cited Papers, and 6 high-level conference papers as the first author. He became a Senior Member of IEEE in 2022, is a member of IEEE PELS, serves an academic editor of PLOS ONE, and has reviewed more than 130 papers for prestigious journals published by IEEE, ELSEVIER, and IOP.
6.课程或讲座题目：固定翼无人机协同控制：理论、实验与应用
Topics:Fixed-wing UAV coordination control: theory, experiment and applications
授课教师简介：
Introduction of lecturer:
孙志勇助理教授
Zhiyong Sun Assistant Professor
孙志勇于2017年获得澳大利亚国立大学博士学位（导师为BrianD.O.Anderson教授）。他曾在澳大利亚国立大学担任研究员/讲师，然后在瑞典隆德大学担任博士后研究员。自2020年1月以来，他一直是荷兰埃因霍温理工大学（TU/e）的助理教授，共同指导TU/e AMC（自主运动控制）实验室。他将于2024年夏天加入北京大学。他的研究方向包括多机器人系统、自治系统的协同控制、分布式控制和优化。他获得了施普林格最佳博士论文奖，并著有《Cooperative Coordination and Formation Control for Multi-agent Systems》(Springer, 2018)一书。他获得了IEEE flagship control systems/robotics conferences的多项最佳论文和学生论文奖，如CDC、AuCC（两次）、ICRA、CCTA和ICCA。
Zhiyong Sun received the Ph.D. degree from The Australian National University (ANU) in 2017 (under the supervision of Prof. Brian D. O. Anderson). He worked as a Research Fellow/Lecturer at ANU of Australia, and then a Postsdoc Fellow at Lund University of Sweden. Since January 2020 he has been an Assistant Professor at Eindhoven University of Technology (TU/e) of the Netherlands, where he is co-directing the TU/e AMC (Autonomous Motion Control) Lab. He will be joining Peking University in the summer 2024.
His research interests include multi-robot systems, cooperative control of autonomous systems, distributed control and optimization. He has won the Springer Best PhD Thesis Award and has authored the book titled Cooperative Coordination and Formation Control for Multi-agent Systems (Springer, 2018). He has received several best paper and student paper awards from IEEE flagship control systems/robotics conferences such as CDC, AuCC (twice), ICRA, CCTA and ICCA.
7.课程或讲座题目：电气化航空运输的先进电机和数据驱动设计优化技术
Topics: Advanced Electrical Machines and Data-Driven Design Optimization Techniques for Electrified Aerospace Transportation
授课教师简介：
Introduction of lecturer:
肖阳助理教授
Yang Xiao Assistant Professor
肖阳分别于2013年和2018年获得中国武汉的华中科技大学电气与电子工程学院电气工程学士和博士学位。随后，他加入了英国谢菲尔德大学电子与电气工程系EMD小组，并于2021年获得了由Z.Q.Zhu教授（FREng，FIEEE）指导的电机设计学科的第二个博士学位。曾任英国戴森科技有限公司高级研究工程师（2021-2023），华中科技大学电气与电子工程学院讲师（2023）。他于2023年12月加入英国莱斯特大学工程学院，担任讲师（助理教授）。他目前的研究兴趣包括用于电气化运输（航空航天和电动汽车应用）的先进电机设计和控制，以及用于电力推进系统设计和优化的数据驱动和基于物理的人工智能技术。
Yang Xiao received the B. Eng. and Ph.D. degrees in electrical engineering from the School of Electrical and Electronics Engineering, Huazhong University of Science and Technology, Wuhan, China, in 2013 and 2018, respectively. Then, he joined the EMD Group, Department of Electronics and Electrical Engineering, University of Sheffield, Sheffield, UK, and received his second Ph.D degree in the subject of electrical machine design supervised by Prof. Z.Q. Zhu (FREng, FIEEE) in 2021. He was a senior research engineer in Dyson Technology Ltd, UK (2021-2023), and a lecturer in School of Electrical and Electronics Engineering, Huazhong University of Science and Technology (2023). He joined School of Engineering, University of Leicester, UK, as a lecturer (assistant professor) in Dec. 2023. His current research interests include advanced electrical machine design and control for electrified transportation (aerospace and EV applications), and data-driven and physics-informed artificial intelligence technology for the Design and Optimization of electrical propulsion systems.
