# Invited Speakers

(The list is updating...)

**Prof. Adel Razek (CNRS, France)**

Prof. Razek received his D.Sc. in Physics degree from the National Polytechnic Institute of Grenoble, France in 1976. Currently, he is Senior Research Director (Emeritus) at CNRS (French National Scientific Research Center) and Professor (Honorary) at Centrale Supelec, in Paris. He is involved, since 1977, in the research department GeePs (Group of electrical engineering of Paris). His area of research expertise is related to computational electromagnetics, coupled multi-physics modeling and design of electromagnetic systems. Areas impacted by his work include exposure assessment in electric vehicle, electromagnetic compatibility, nondestructive testing, smart material actuation, robotics, and biomedicine. He has a publication register of more than 150 journal papers and 200 international conferences communications. He serves as a member of the editorial boards of several international journals and a member of the steering committees of several international conferences. He is Life Fellow of the IEEE, USA, Fellow of the IET,UK, and Fellow of the SEE, FR. He is recipient of the distinctions (the most important): The IEEE Nikola Tesla Award 2017, the Medal André BLONDEL 1985, and the Medal AMPÈRE of the SEE 1993.

**Title of the Presentation: **__The elegant theory, the observed societal reality and the potentialities of coupled models__

This work consists of two distinct sections; both relate to modeling and observation concepts.The first part concerns the evaluation of the investigations by these two concepts of a given scientific phenomenon. The nature of the couple (modeling-observation) is explored by examining the self-sufficiency of each of its two elements. Specific scientific grounds have been taken into account to illustrate the nature of this link. Several examples of scientific results are discussed, highlighting the conceivable interactions between the two concepts.The second section relates the amendment of a humble theoretical model to reveal the reality observed in the study of societal applications. Such a model generally concerns one or more main theoretical domains. Frequently, these fields are more or less, individualized in the model. Moreover, the model can disregard certain supposed-secondary phenomena.Revealing the observed reality could only be achieved by taking into account all the phenomena involved in a societal application taking into account their possible interdependence. This could be done by considering the different interconnected theories involved in a composite model.An application concerning the case of coupled models in electromagnetic systems completes the work. The couplings of the different occurrences concerned are discussed. Their classification, strategies and validation are illustrated for cases related to different societal applications.

**Prof. Hajime Igarashi (Hokkaido University, Japan)**

Hajime Igarashi is a full professor at Hokkaido University, Sapporo, Japan. He received the Ph.D. degree in engineering from Hokkaido University in 1992. He was a guest researcher at Berlin Technical University, Germany, under support from the Humboldt Foundation from 1995-1997. His current research interest is computational electromagnetism, topology optimization of electric machines, model order reduction and homogenization method. He has authored and coauthored more than 150 peer-reviewed journal papers. He is a Fellow of IEE Japan and board member of international COMPUMAG society and Japan AEM society,and member of IEEE, IEICE and JSST.

**Title of the Presentation: ****Data-driven methods for computational electromagnetism**

Machine learning has been successfully introduced to various fields including automatic driving, face identification and so on. This method would also lead to innovation in CAE relevant to electric machines and devices. In this talk, application of deep learning to topology optimization of electric motors will be discussed. In the topology optimization of electric motors based on stochastic algorithm such as genetic algorithm and particle swarm, field analysis using, e.g., finite element method (FEM) has to be performed for many times to evaluate the fitness of individuals. To reduce the computing cost, we use a deep neural network working as a surrogate model. In this method, the data including the image of electric motors with different shapes, which can be obtained through a preliminary topology optimization procedure, and their performance such as average torque, torque ripple and iron loss are used to train a deep neural network. Then, in the main optimization, the fitness evaluation is performed by the trained deep neural network. When the fitness is judged to be better than a prescribed level, then the FE evaluation is performed to obtain the accurate evaluation results. By this screening based on deep learning, the number of FE computations can be drastically reduced without loss of quality in the optimization. Some numerical examples will be shown in the presentation.In addition to the above topic, the potential application of the machine learning to material design will be briefly discussed in this talk. Here, we pay attention to material design of soft magnetic composite (SMC) which is widely used for inductors, reactors and motors. The author has developed a numerical analysis method of magnetic property of SMC based on the discrete element method and FEM. Using this method, it is possible to compute the static and frequency characteristics of macroscopic (homogenized) magnetic properties of SMC for arbitrary SMC parameters such as material constant and size distribution. This simulation provides a big data that contain SMC parameters and corresponding macroscopic magnetic properties. It would be possible to optimize the SMC parameters to realize the desired magnetic properties using the big data. A machine learning approach would play an important role to effectively use the big data in the material optimization.

**Prof. Xiang Cui (North China Electric Power University)**

Xiang Cui is currently a Professor of North China Electric Power University. He received the B.Sc. and M.Sc. degrees in electrical engineering from North China Electric Power University in 1982 and 1984, respectively, and the Ph.D. degree in accelerator physics from China Institute of Atomic Energy, Beijing, China, in 1988.Prof Cui’s research interests include computational electromagnetics, electromagnetic environment and electromagnetic compatibility in power systems, insulation and magnetic problems in high-voltage apparatus. He is a Standing Council Member of the China Electrotechnical Society. He is also an Associate Editor of IEEE Transactions on Electromagnetic Compatibility.

**报告题目: **__多物理场的耦合途径及求解思考__

本报告采用算子形式描述多物理场。首先给出了算子形式表达的单物理场、方程和边界条件；其次介绍了不同物理场的耦合途径；最后讨论了多物理场的求解思路以及遇到的问题。

**Title of the Presentation: **__Some thoughts on the multiphysics coupling and solution.__

The operator form is used to describe the multiple physical fields in this report. First, a single physical field, its governing equation and boundary conditions are described in the operator form. Secondly, the coupling ways between different physical fields are introduced. Finally, some thoughts and problems that might arise in solution of the multiple physical fields are discussed.

**Prof. Baodong Bai (Shenyang University of Technology)**

**报告题目: **__复杂条件下多物理场数值分析中三个热点问题的研究__

(1)复杂条件下电工材料特性物理本质模拟的研究:变压器等电工装备产品的运行工况是复杂多变的非标准化多物理场耦合条件，建立在标准化实验条件下的统计学磁参数和电参数模型具有较大的误差。现有的商业软件在此方面上尚有较大的改进空间。研究复杂条件下材料的微结构变化本质，如：磁畴壁的运动及磁畴结构的演化规律，搭建从介观到宏观磁特性研究的桥梁，建立新型的材料参数数学模型、恰当的物理模型及试验方法，在电工装备的数值计算中定量地、深入地去考虑电工材料的物理本质。本团队在多种有取向、无取向硅钢，非晶合金等铁磁材料，以及余种固态、液态电介质材料上开展了上述研究，得到了一系类模型，形成了相关数据库。

(2) 基于单元级别的多物理大模型对象的并行算法研究。变压器类电工装备整体尺寸巨大，而电工材料内部电磁场变化存在多尺度问题、以及多物理场的相互影响，因此不能作简单的二维化及线性化近似，这些因素使得数值计算规模过大。采用常规串行有限元法的各种商用软件在计算上述问题时计算时间过长，且计算结果误差较大，许多工程问题不能得到精确预测。为解决这一困难，将基于单元级别（Element by Element，简称EBE）的并行有限元技术(PFEM)应用于复杂条件下多物理场的数值分析，是一条可行途径。EBE方法一方面避免了总体系数矩阵的生成及存储，从而对所研究场域中结构的几何形状、单元编号没有任何限制；另一方面又具有固有的并行性质；本团队将EBE技术应用于大型电力变压器求解区域材料性质复杂、规模庞大的多物理场的数值分析中，取得了一定进展。

(3)复杂条件下电工装备可靠性与鲁棒性优化算法研究。工程问题的设计、生产、运行中不可避免地存在一些不确定因素，诸如结构尺寸的生产误差以及材料特性的偏差等。根据工程实际需要，将可靠性分析与鲁棒性分析相结合，建立基于可靠度的鲁棒性设计的统一模型成为多物理场逆问题的热点研究方向。从平衡多个目标性能的角度出发，开发人性化、智能化的基于可靠度的多目标优化设计算法；并将鲁棒性与可靠性同时在一个模型中考虑，提出基于可靠度的鲁棒性设计的统一模型，这将最大限度提高产品的市场竞争力。可以真正实现可靠性优化设计和鲁棒性优化设计的结合，形成不确定因素影响下电工装备的完善的优化设计理论体系。本文介绍了团队在此领域开展的工作。

**Prof. Dezhi Chen (Huazhong University of Science and Technology)**

PhD CHEN Dezhi (1969.9-), professor of School of Electrical and Electronic Engineering (SEEE), Huazhong University of Science and Technology (HUST). He has been engaged in the teaching and research of electromagnetic field theory and numerical analysis technology, eddy current nondestructive testing, chargedparticle beam physics. He got Bachelor's degree and Master's degree in physical electronic and optic electronic engineering, and Doctor's degree in electricalengineering in 1992, 1995 and 1998, respectively, from Xi 'an JiaotongUniversity. From 1999 to 2000, he was a post-doctor in Department of Electrical Engineering, HUST. Since 2001, he has been working in SEEE, HUST. In 2008-2009,he worked as a visiting scholar in the Computational Electromagnetic Center of University of Illinois at Urbana-Champaign (UIUC). He developed the first set of steam generator tube eddy current testing simulation software in China. He has published more than 70 academic papers. Together with colleagues,he won the first prize of natural science of the Ministry of Education in 2001,the first prize of science and technology progress of Hubei province in 2004 and the second prize of science and technology progress of Hubei Province in 2008. He won the Outstanding Teaching Award by Huazhong University of Science and Technology in 2017. He is a member of international computational electromagnetics society. He is an AE for Wiley’s International Journal ofNumerical Modeling: Electronic Networks, Devices and Fields.

**Title of the Presentation: **

**Opportunities and Challenges of Education of Electromagnetic Theory and its Numerical Analysis**

The wide application of commercial electromagnetic field analysis software brings new opportunities and challenges for the education of electromagnetic field theory and numerical analysis in universities. On the one hand, the popularization of commercial electromagnetic field analysis software not only provides a powerful means to solve engineering problems, but also provides an important auxiliary means for the study of electromagnetic field theory through the visualization of abstract electromagnetic field. On the other hand, the popularity of commercial electromagnetic field analysis software conceals the harm caused by weakening the study of basic theories. Though many students can use ANSYS or Comsol to do simulations and even publish papers, they do not understand the essence of the calculated model and results clearly. They don't even realize it when errors happen. When they encounter difficulties in the calculation process, the only solution they can think of is to upgrade the computer to expand the memory, but they do not know to analyze the physical concept and simplify the solution model, so they cannot come up with an effective solution. Based on the experience of teaching and research on electromagnetic field theory and numerical analysis, this paper expounds the views on the above problems, and puts forward some suggestions on the educational reform of electromagnetic field numerical analysis. First, the main purpose of current electromagnetic field theory and numerical analysis teaching should be for engineering application rather than algorithm research. Secondly, enhancing the understanding of the basic electromagnetic laws and concepts through theory study is the inevitable foundation for those who want to be an expert in electromagnetic analysis and design. Thirdly, understanding of the basic principles of electromagnetic field analysis methods (such as finite element method) is necessary and beneficial for proper use of numerical analysis software to solve engineering electromagnetic field problems. At last, although numerical analysis of electromagnetic fields has been successfully applied, it does not mean that we have solved all the problems. It is still necessary to strengthen the research on the basic theory of electromagnetic field numerical analysis technology, including the modeling method of complex electromagnetic field problems, the simulation of electromagnetic parameters of complex materials, and some basic theoretical problems of electromagnetic field analysis (such as uniqueness and suitability of solutions, etc.).

**Prof. Zhiye Du (Wuhan University)**

杜志叶，武汉大学电气与自动化学院教授，博士生导师。武汉大学电气与自动化学院高电压与绝缘技术系支部书记、 “振兴计划”青年学者。IEEE 会员、 ICS 会员，国际权威期刊"IEEE TRANSACTIONS ON MAGNETICS"，“中国电机工程学报”等杂志审稿专家。获得2016、2017 年中国电机工程学报期刊社“优秀审稿人”荣誉称号。 主要从事智能电气设备、特高压直流输电关键技术、电磁多物理场耦合计算等研究工作。近五年来，先后主持国家自然科学基金项目3 项、863 军工项目1 项、973 项目子课题1 项、特高压工程国家实验室科研基金3 项（其中重点基金1 项）、高等学校自主科研基金2 项（其中重点基金1项）、国家电网公司、网省电力公司重点科研项目10余项；作为技术骨干参与了国家自然科学基金项目2 项、973、863 项目2 项。发表学术论文100 余篇，其中SCI 源刊检索20 余篇，EI 源刊检索60 余篇。获湖北省高等学校教学成果奖一等奖1 项、湖北省科技进步二等奖1 项、三等奖1 项、华中电网科技进步一等奖1 项。已授权国家发明专利8 项、实用新型专利9 项，计算机软件著作权5 项。

**Prof. Jiangjun Ruan (Wuhan University)**

阮江军，男，1968 年生，浙江绍兴人，武汉大学教授，博士生导师。 1995 年华中理工大学博士毕业，1996 年~1998 年于武汉水利电力大学博士后流动站工作，1999 年破格晋升为教授，2001年聘为博士生导师，2011 年聘为珞珈特聘教授，2013年聘为二级教授。曾任武汉大学电气工程学院实验中心主任、研究生教学副院长等职。兼任湖北省电工技术学会副理事长、湖北省电机工程学会直流输电专委会副理事长、能源行业电力接地技术标准化技术委员会委员，中国建筑学会建筑雷电防护学术委员会委员、《中国电气工程大典》编委。入选第四批国家" 万人计划" 科技创业领军人才、武汉东湖高新区第八批“3551 光谷人才计划”。 承担包括国家军口、863 计划、973 计划、科技支撑计划、自然科学基金纵向研究课题，国家电网公司、 南方电网公司等一批横向课题。已发表学术论文380 余篇，其中SCI 论文80 余篇，EI 源刊论文150 余篇，授权国家发明专利37 项，编写专著3 部。主持的“电磁多物理场分析关键技术及其在电工装备虚拟设计与状态评估的应用”获2017 年湖北省科技进步一等奖，“石墨碳纤维复合柔性接地技术研究及工程应用”获2018 年南方电网公司科技进步二等奖。研发的“石墨基柔性接地材料”成功地实现了产业转化。

**报告题目: **__特高压直流输变电工程中的电场计算问题和挑战__

结合近年来的科研实践，从空间电荷场的计算原理出发，基于多场耦合的思想介绍高压直流输电线路离子流场计算、换流变压器油纸绝缘合成电场数值方法以及特高压直流阀厅金具电晕控制技术，论述特高压直流输变电工程中所涉及的电场数值仿真技术、建模方法，分析存在的问题和挑战，探讨建设具有自主知识产权的软件和生态系统的可行性。

**Title of the Presentation: **__Problems and challenges of electric field calculation inUHVDC transmission and Transformation Engineering__

Based on the theory of space charge transfer and the idea of multi-physics field coupling,the calculation of ion flow field of HVDC transmission line, the numerical method of oil paperinsulation synthetic electric field of converter transformer and the corona control technologyof UHVDC valve hall will be introduced. The total electric field numerical simulation technologyand modeling method involved in UHVDC transmission and transformation equipments will beexpounded in detail, and the existing problems and challenges will be put out. The feasibilityof developing software and ecosystem with independent intellectual property rights will bediscussed as well.

**Prof. Weinong Fu (Hong Kong Polytechnic University)**

Prof.Weinong Fu received his PhD in electrical engineering from The Hong Kong Polytechnic University in 1999. He is now a full Professor in The Hong Kong Polytechnic University. Before joining the university in October 2007, he was one of the key developers at Ansoft Corporation in Pittsburgh, USA. He has about seven years of working experience at Ansoft, focusing on the developmentof the commercial software Maxwell. He has published over 220 papers in refereed international journals. Prof. Fu's current researchinterests mainly focus on numerical methods of electromagnetic field computation, optimal design of electric devices based on numerical models, applied electromagnetics and novel electric machines.

**Title of the Presentation: **__Our Research Progress on Finite-element Method of Electromagnetic Field Computation and its Applications__

Our research progress on finite-element method (FEM) of electromagnetic field computation will be reported, including circuit coupling method in 3-D FEM, enhanced nonlinear algorithm for transient analysis, dynamic demagnetization simulation, adaptive time stepping method, parameterized mesh, adaptive DoFs, force computation, domain decomposition method, multi-slice 2-D method including inter-bar current, fast computation for frequency sweeping, FEM with artificial intelligence, and optimization with embedded FEM. The application examples of FEM and optimization method to development of novel electromagnetic devices will also be reported.

** **

**Prof. Lin Li (North China Electric Power University)**

博士，教授，博士生导师。中国电机工程学会理论电工专业委员会委员，全国电磁场教学与教材研究会常务理事，省级教学名师。主要科研方向为电磁场理论及其应用、先进输变电技术。主持国家重点专项课题、国家自然科学基金面上项目、国家科技支撑计划子课题和国家电网公司等企业横向课题多项。获得省部级科技进步二等奖项、中国电力科技进步三等奖。合作出版学术专著2部、编著出版《电磁场》教材1部。在国际国内著名学术刊物发表SCI/EI检索论文80余篇。

**Title of the Presentation: **__Problems in the Numerical Analysis and Application of Quasi-static Electromagnetic Field.__

In the presentation, the environment of software development is analyzed at first. Then, the categories of quasi-static fields are introduced. Based on the practical engineering application, some basic problems are discussed. One is the charge relaxation in Electro-quasi-static Electric Field and the application in the calculation of polarity reversal electric field in the converter transformer. The second is about the influence of induced electric field on the coulomb electric field which is based the magneto-quasi-static electric field concept and can be applied to the electric field calculation of high-frequency transformer. Finally, one Magneto-elastic couple problem is discussed.

**Prof. Yongjian Li (Hebei University of Technology)**

李永建，男，教授，博导，河北省省管优秀专家。2009-2011在澳大利亚悉尼科技大学做访问研究，2016-2017年在加拿大渥太华大学做访问学者。现任河北工业大学省部共建国家重点实验室副主任、电气工程学院副院长，中国电工技术学会副秘书长，天津电机工程学会副理事长，一、二维磁特性测量技术（1&2DM）国际指导委员会委员。获得“全国优秀博士学位论文”提名奖，首批河北省“青年拔尖人才”，天津青年科技奖、河北省模范教师、河北省高校百名优秀创新人才、河北省杰出青年基金。致力于旋转磁特性测量、表征，混合磁滞模型及损耗模型的研究及工程应用。共发表SCI论文40余篇，获专利10项；主持或参与国家自然科学基金、国家重点研发计划等项目共7项，其他项目共8项。相关研究获本领域首个国家自然科学基金重点项目并获优秀结题，获得河北省科技进步一等奖1项（第一），天津市科技进步二等奖1项（第五）。

**报告题目: **__电工磁材料中高频多工况磁测量及模拟技术__

中高频磁性元件是实现大功率电力电子装备大容量紧凑化的关键，其中铁心磁材料中高频多工况磁测量及模拟技术是实现电力电子装备高性能稳定运行的核心技术。本团队开展系列磁特性测试装置的研发、电工磁材料的多工况旋转磁特性测试及模拟、大功率高频变压器、电抗器铁心结构设计及磁热耦合仿真计算等方面的研究。解决磁材料多维多工况磁特性测试、表征、中高频非正弦激励下铁心特性模拟及耦合仿真技术的难题。同时构建材料数据库，为新一代电磁数字孪生技术提供材料模型，实现节能及环境友好型的智能装备制造。

**Prof. Guoqiang Liu (Chinese Academy of Science)**

刘国强，博士生导师，中国科学院大学电子电气与通信工程学院岗位教授，北京市优秀教师。

**报告题目: **__磁声成像中的电磁场逆问题__

对于线圈检测式磁声成像，我们提出了一种新的互易关系，将成像过程的场源与另外一组场源联系起来，推导了测量信号与另外一组场的关系式，该关系式可以用于电导率图像重建。

**Prof. Xikui Ma (Xi’an Jiaotong University)**

Xikui Ma was born in Shaanxi, P.R.China, in 1958. He received the B.Sc.and M.Sc. degrees in electrical engineering from Xi’an Jiaotong University, P.R.China, in 1982 and 1985, respectively. Then, he joined the Faculty of Electrical Engineering, Xi’anJiaotong University as a lecture in 1985, where he became a Professor in 1992. Now, he is the Chair of the Electromagnetic Fields and Microwave Techniques Research Group. During the academic year 1994-1995, he was a visiting scientistat the Power Devices and Systems Research Group, Department of ElectricalEngineering and Computer, University of Toronto. His main areas of research interestsinclude electromagnetic field theory and its applications, analytical andnumerical methods in solving electromagnetic problems, the field theory ofnonlinear materials, modeling of magnetic component, chaotic dynamics and itsapplications in power electronics, and the applications of digital control topower electronics. He has been actively involved in more than 40 research and development projects. He is the author or coauthor of more than 280 scientificand technical papers on these subjects, and also the author of 15 books inelectromagnetic fields. Prof. Ma received the Best Teacher Award from Xi’an Jiaotong University in 1999.

**Title of the Presentation: **__China should set up another milestone in Computational Electromagnetics.__

In This talk I will briefly describe the development of computational electromagnetics in China, analyzes and prospects the development status of finite element analysis system, and puts forward the direction and suggestions for the development of computational electromagnetics in China after COMPUMAG'2005 and CEFC'2018. The holding of COMPUMAG'2005 conference and CEFC'2018 conference in China are two milestones in the development ofcomputational electromagnetism in China. In fact, after decades of development, China's computational electromagnetics not only has the ability to talk with peers in the world and has a certain say in the international academic community, but also plays anirreplaceable special role in China's social development and national security. However, in the era after COMPUMAG'2005 and CEFC'2018, it is more important for China's computational electromagnetics community to make an article on theoriginal innovation achievements. It is necessary to set up another computational electromagnetics milestone and actively develop the computational electromagnetics system with independent intellectual property rights.

** **

**Prof. Zhuoxiang Ren (Chinese Academy of Science; Sorbonne University, France)**

Dr. Zhuoxiang Ren is a full professor at the Sorbonne University in France and a guest professor at the Institute of Electrical Engineering of Chinese Academy of Sciences. He serves actually as deputy director of Group of Electronic and Electrical Engineering Paris (GeePs). Prof. Ren has many years of research experiences on numerical modeling of electromagnetic systems and development of EDA tools. He has published over 250 papers in refereed journals and international conferences. He has been awarded a Bronze Medal of CNRS in France in 1996. His research interests include numerical methods for the computation of electromagnetic fields and multi-physics problems, modeling and simulation of microelectronic and electrical devices and systems for various applications.

**Title of the Presentation: **__From Electromagnetic Field Computation to Digital Twin – a Reflection on Trends of Numerical Modeling in Electrical Engineering__

This talk will give an overview on the historical progress and the major achievements in the domain of computational electromagnetics. In conjunction with the actual industrial needs and the advances in computer capacity and computational methodology, a tentative reflection on the future trends of numerical modeling in electrical engineering will be presented.

**Dr. Zuqi Tang (University of Lille, France)**

Zuqi Tang received the B.S.(2007) in pure mathematics from Wuhan University, China, the M.S. (2009) inapplied mathematics and the Ph.D. (2012) in electrical engineering from the University of Lille in France. Between 2012 and 2015, heworked as Postdoctoral Research respectively in Electricity of France (EDF) andFrench Institute for Research in Computer Science and Automation (INRIA)Paris-Rocquencrout. Between 2015 and 2017, he worked as Assistant Research inthe French National Center for Scientific Research (CNRS). Since 2017, he got atenured position as Associate Professor in the Electrical Engineering Department at the University of Lille. His current research is focused on thenumerical modeling and analysis in computational electromagnetism, as well ascoupled multi-physical problems. He has published more than 20 papers in thejournals of computational mathematics and computational electromagnetic fields,such as Numer. Math., Math. Methods Appl. Sci., IEEE Trans. Mag.

**Title of the Presentation: **__Investigation of Deep learning based on Smart Data Selection in Computational Electromagnetics__

Deep learning (DL) has attracted more and more research attention all over the world. This talk will give our recent work on the investigation of deep learning, in particular, the convolutional neural network (CNN) combined with finite element analysis (FEA) applied to the computational electromagnetics. Considering as a complementary approach as reduced-order modeling (MOR), CNN enables us to avoid some intrinsic difficulties in MOR. Some greedy algorithms are adopted to improve the efficiency and accuracy of CNN, especially for the small data selection strategy.

** Prof. Shuhong Wang (Xi’an Jiaotong University)**

Mr. Shuhong Wang received the B.S. degree, the M.S. degree, and the Ph.D. degree in electrical engineering from Xi’an Jiaotong University, Xi’an, in 1990, 1993, and 2002, respectively. He was a Post-Doctoral Fellow with the Department of Mechatronics, Gwangju Institute of Science and Technology, Gwangju, Korea, from 2004 to 2005, a Research Fellow and and a Visiting Professor with the Faculty of Engineering, University of Technology at Sydney, Sydney, NSW, Australia, in 2005 and 2008, respectively. Currently, Dr Shuhong Wang is a Prof. of Electrical Engineering in Xi’an Jiaotong University, the committee member of Teaching steering sub-committee of electric and electronic fundmantal courses of higher education of Ministry of Education of CHINA, the committee member of Applied Superconductivity Special committee of China Electrotechnical Society, Seniormember of IEEE. Member of CIGRE WG 2.60. His current research interests include the theory ofcircuit, electromagnetic field, and multiphysics field, numerical analysismethods, the design, simulation, and optimization of energy-efficient power conversion and transmission equipment and special electromagnetic devices, modeling and simulation of the electromagnetic properties of advance delectrical materials.

**Title of the Presentation: **__Multiscale Nummerical Analysis of High Frequency Transformers__

In order to develop high frequency transformers with large capacityand small bulk for distributed-grid and smart-grid systems, it is desirable tostudy the core loss and winding loss of transformer. Because of the largeaspect ratio of the tape of the ribbon magnetic core for high frequencytransformers, the computation cost is prohibitive by using traditional numerical methods. In order to finely study the eddy current distribution ineach tape, the multiscale finite element method is adopted. The mesh for multiscalefinite element method is independent of geometries, and its multiscale basefunctions can be easily realized by systemetically inheriting those of finiteelement method. It provides a general way to mutliscale analysis without adopting the periodical structure assumptions. Litz-wire is usually adopted to reduce the eddy current loss ofwindings caused by skin effect and proximity effect. Considering the twisting configurationsfor both windings and litz-wires, an analytical winding loss model is proposed to to avoid the multiscale problem for high frequency transformer. The coordinate transformation technique as well as piece-wise linear approximation method is utilized to consider the twisting effect on winding loss. Therefore,the multiscale analysis caused by the litz-wire is solved by using analytical method, and this analytical model is also helpful for the accurate design of high frequency transformer. It is can be expected that the accurate and rapid simulation including of multiscale nummerical analysis will benefit the development of digital twin technique, which is combining the real and vitural worlds of equipment together for accurate and rapid analysis, measurement, assessment and control.

** **

** **

**Prof. Guizhi Xu (Hebei University of Technology)**

Guizhi Xu is a full professor at Hebei University of Technology (HEBUT). She receivedher PhD degree in electrical engineering from the HEBUT, China in 2002. She isinvolved, since 1983, in the research department of electrical engineering. Herarea of research expertise is part related to computation of bioelectromagneticfield, Electrical Impedance Tomography (EIT), coupled multi-physics modeling andso on. Her research also interested in electromagnetic techniques and theireffect on bioelectricity characteristics. She has published more than 100 journal papers and three books about electromagnetic technique. In addition,she acquires more than 10 grants and projects supported by the National NaturalScience Foundation of China and Provincial and Ministerial-level. She serves asa board member of the Medical and Neural Engineering Society of China and Life electronic Society of China and a member of International COMPUMAG Society and IEEE EMBS and so on.

**Title of the Presentation: **__Key inverse problems of bioelectromagnetics and applications__

Methods of the inverse problems in bioelectromagnetic field (BEMF) play an important role in the area of studying electromagnetic characteristics of biological tissue, organs and cells. Studies on source localization of electroencephalography (EEG) and the inverse problem of electrical impedance tomography (EIT) in the investigation of electromagnetic characteristics of cerebral cortex and other organs including thorax have been the research hotspots in the BEMF. The estimation of the activity-related currents by measuring the induced electromagnetic fields at the head surface or the reconstruction of the primary or impressed currents (a simplified source model)) is explored by our research team. In addition, EIT could reconstruct interior distribution of human body, using voltage data collected from electrodes attached at the body surface. Our researches also involve solving the anisotropic inverse problem by designing an excitation calibration configuration to amend voltage data, proposing new projection algorithms to improving accuracy in reconstruction of simulated models and so on.

** **

** **Dr. Xiaoyu Xu (Chinese Academy of Science)

徐小宇，博士，副研究员，中国科学院电工研究所工业仿真计算技术研究部。2009年毕业于中科院电工所，获工学博士学位。2012年调入中国科学院微电子研究所工作，任助理研究员，“千人计划”团队核心成员，获中国科学院微电子研究所所长基金“集成电路自动化设计中关键电磁场问题研究及算法实现”等支持，协助建立“电磁仿真设计技术实验室”。2019年4月加入中科院电工所，担任工业仿真计算技术研究部的课题组组长，从事电磁场有限元数值分析、计算机辅助工程及电子设计自动化算法及软件工具研究、不确定性量化、大规模数值并行方面的研究工作。

**Title of the Presentation: **__EMPBridge - A platform for multiphysics simulation in electrical engineering__

Numerical modeling is a bridge connecting basic theories in mathematics and physics and the actual engineering and manufacturing. Under the trend of industrial intelligence, it plays a more and more significant role in the industry. The scientists and engineers worldwide have established different commercial software and open-source tools. However, the actual demand is continuously increasing and in diversity, which put forward higher requirements to the simulation platform on the integration of multiphysics and disciplines, the compatibility of multiple algorithms, and the openness of the software. In this circumstance, we develop a simulation platform named EMPBridge. At the first stage, the platform aims to adapt the needs in scientific research for integrating different algorithms. This talk will exchange ideas on the functionality and the architecture design of this platform.

** **

**Prof. Fan Yang (Chongqing University)**

杨帆，博士，教授，重庆大学电气工程学院副院长，中国电机工程学会电工理论与新技术专委会委员，北京两化融合联盟理事会副理事长，《High Voltage》副主编。主要从事电力装备的多物理场计算与电磁成像研究。过去5年内以项目技术负责人负责工信部升级转型重点项目1项，科技部重点专项子课题1项，国家自然科学基金项目3项，承担其他科研项目12项，获省部级科技进步三等项2项，发表SCI论文49篇，参与国际标准1项。讲授本科生《电磁场原理》课程， 博士生《多物理场分析课程》、留学生《Electromagnetic Field and Electromagnetic Compatibility》.

**报告题目: **__标准化设计变电站的装备数字孪生模型与架构设计__

Outline:

1. The background of digital twin development:

- a brief concept of digital twin proposed by Dr. Michael
- the application status in aerospace industry, automobile manufacturing and other industries
- political background and industrial prospect of digital twin in China

2. The digital twin system in standardization of transformer station

- the differences of DT application between electric engineering and other industries
- the prospect and objective of DT in in the standardization of transformer station

3. The key technology of digital twin in construction

- the construction of sensor network and the process of front-end data
- the methodology to calculate fast and map in real time ——the field-circuit cooperated analysis
- Data driven system to fuse 4-D status

4. The research foundation of DT

- the introduction of models which have been carried out in substation
- the multi-physics coupling method
- the platform construction of DT modules

On-line data acquisition and real-time status presentation are crucial in the operation condition of equipment in the standardization of transformer station, especially for electric equipment working in high voltage with strong coupling properties. In order to ensure the operation safety and avoid failure, digital twin, an emerging technology based on front-end data and model architecture, is proposed for electric equipment. Based on the sensor network, the virtual numerical world would be driven to present the real world timely and construct a mutual fusion of surroundings, human and condition.

**Prof. Shiyou Yang (Zhejiang University)**

Shiyou Yang received his B. Eng degree in automaticcontrol engineering from Liaoning University of Technology, China in 1985; and M.Eng and PhD degrees in electrical engineering from Shenyang University ofTechnology, China, in 1990 and 1995, respectively. He has been a Professor atthe College of Electrical Engineering, Zhejiang University since 2001.Currently, his research interests include Computational Electromagnetics inboth high and low frequency domains, the application of numerical techniques inelectronic and electromagnetic devices. He has worked in the Department ofElectrical and Computer Engineering, Duke University, USA, the Hong KongPolytechnic University, Hong Kong, and Sau Paulo State University, Brazil. So far,he has published more than 200 papers in referred international conference andjournals, and more than 100 in international journals.

**Title of the Presentation: **__Topology optimizations: the paradigm of the predominant engineering techniques to provide a quantitative design method for modern electromagnetic device design__

Topology optimization is the conceptual design of a product, and the highest level design phase. It can create a novel topology, which could not be imagined beforehand, of a product in early conceptual and preliminary design phases. Realizing the topology optimization of an electromagnetic device is thus the ultimate goal in electrical engineering. Nowadays, topology optimization has become the paradigm of the predominant engineering techniques to provide a quantitative design method for modern engineering design. Indeed, it has been the most active research area in structural and multidisciplinary optimizations in the past two decades. However, due to its inherent complex nature, the development of applicable methods and strategies for topology optimization is still in need of enhancement, and the topology optimization remains a difficult and challenging problem in engineering optimizations. The main difficulties and challenges include: (1) Deficiency in mathematical modeling and definition; (2) Infinite dimensional size problem; (3) Extremely computationally expensive; (4) Singularity in the feasible space of the decision parameters; (5) Discrete or continuous as well as their combination topology optimizations. Rigorous study on topology optimization studies in electrical engineering only dates back about 15 years ago, and its state of the art is, understandably, significantly lagging behind those in related engineering disciplines. This presentation will focus on numerical methodologies for topology optimizations of electromagnetic devices. The coverage includes the state of the art, the formulation and modeling methodology of topology optimization; evolutionary algorithm based, and graph theorem and associated algorithm based methodologies for efficient solutions of many-objective topology optimizations; a multiscale topology optimization methodology; and the topology optimization of some case studies.

** **

**Prof. Haitao Yu (Southeast University)**

余海涛 东南大学电气工程学院教授、博士生导师，中国能源学会理事。1995年于华中科技大学获得博士学位，1997年任华中科技大学副教授，1998年-2003年在美国杜克大学、加拿大进行学术交流访问。2003年到东南大学电气工程学院工作。余海涛长期从事工程电磁场数值计算理论和应用研究，以棱边单元法为基础，研制了有限元以及有限元-边界元数值计算程序，并应用于电气设备的电磁分析和优化计算。主持与参与国家863计划、国家支撑计划子课题、国家自然科学基金、国家海洋能专项、国防基础研究项目等多项课题。发表了100多篇文章，其中SCI收录30多篇。曾担任《机械工程进展》（SCI期刊）“海洋能发电”特刊编辑。获得教育部自然科学一等奖和二等奖各一次，并获得了50多项国家发明专利。

**报告题目: **__低频电磁计算软件开发探讨__

电气设备的电磁仿真软件分为自适应网格剖分、数值计算和计算结果显示以及设备的参数计算等步骤。首先介绍国内外电磁计算发展现状，简要分析我国与国外同类技术的差距以及造成的原因，阐述了电磁计算步骤所采用的主要计算方法及特点。借助已有的电磁计算核心技术，结合先进计算机和网络通讯技术，开发具有自主产权的电磁计算软件。此软件应有很强的远程电磁计算能力，人机界面容易操作，计算过程方便监控，还能与国际主流结构分析及仿真软件兼容。

** Prof. Jiansheng Yuan (Tsinghua University)**

袁建生，清华大学电机系教授，现主要从事磁性材料模型及其在电磁场仿真中的应用以及高频变压器设计研究。曾获教育部跨世纪优秀人才培养计划、清华大学学术新人奖即优秀青年教授奖、电力部科技进步一等奖、国家电网公司科技进步二等奖、军队科技进步二等奖等奖项。共完成和负责5项国家自然科学基金面上项目，一项国家高技术研究发展“863”计划子课题；发表论文200多篇，被SCI收录40余篇。现任国际电磁场计算协会委员，中国电工技术学会理论电工专委会委员，中国电工技术学会电磁发射专委会委员，教育部高等学校电磁场教学与教材研究会副理事长。

**报告题目: **__基于数值孪生概念的算法与软件研究可使电磁场仿真跨越式发展__

**Title of the Presentation: **__Research on electromagnetic simulation methods and software based on the concept of digital twin can make leapfrog development. __

In the past, the main work of electromagnetic field calculation is for the "design" of products. The purpose of the "design" simulation is to analyze the influence of structure parameters on the performance of products. The simulation is usually idealized, without considering the errors introduced by manufacture and material quality. In the future, we should do "predictive" simulation to provide the decision on the time when the maintenance and replacement of equipment should be conducted, e.g., after how many times of impacts, the transformer windings need to be repaired. It can be imagined how valuable the "predictive" simulation is! The "predictive" simulation can be realized based on the concept of Digital Twin. The Digital Twin refers to a model, a digital or virtual model, born on the same occasion with the physical or actual model or product, whose key characteristic is the two-way communication between physical and digital models. It is to enable us to see on this digital model what might happen to the actual physical equipment, as well as what might happen in the future. There is an urgent need for the research on simulation methods and software development based on the concept of digital twin, and it can make the simulation area of electromagnetic and multiple-physic fields leapfrog develop forward.

**Prof. Bo Zhang (Tsinghua University)**

He obtained his B.S. in 1998 and Ph.D. in 2003, both inelectrical engineering from North China electric Power University. From 2003 to 2005, he was a post doctor at Tsinghua University, China. And then, he became assistant professor, associate professor and professor at the department of Electrical Engineering, Tsinghua University. From 2013 to 2014, he was a visiting researcherin Caltech, US. Bo Zhang is interested in the numerical calculation of electromagnetic problems in high voltageengineering. He published more than 70 peer reviewed papers in IEEE/IET and AIPjournals. He co-authored a book “Methodology and Technology for Power System Grounding”published by IEEE and John Wiley & Sons Inc. Bo Zhang is the IEEE Senior Member,convener of CIGRE C4.50. He is the secretary of Asia-Pacific International Conference on Lightning. He was awarded the Excellent Youth Fund of NationalNatural Science Foundation of China in 2013, the 34th Scientific Committee Award of the International Conference on Lightning Protection in 2018, and the IEEE EMC Technical achievement award in 2019.

**Title of the Presentation: **__Numerical Calculation of Ion Flow Field in Corona Discharge and Its Application__

The HVDCpower transmission technique develops very fast during the last decade. The ionsresulting from the corona discharge due to the high voltage fill the air. Theso-called ion flow field is nonlinear because the electric field affects themovement and the generation of the ions while the ions change the electric field, which is one of the main differences from AC transmission technique. In this presentation, an application of the method of characteristics is presentedto calculate the ion densities around bipolar HVDC transmission lines based ona pair of first-order partial differential equations of the ion densities. The electric field is calculated directly by accumulating all the contributionsfrom the ions in the air and the charges on the conductors. No large-scale system of equations needs to be solved which means that the requirement forcomputer memory is low, and the method is suitable for large-scale calculation. Based on the 2-D equations and procedure of the method of characteristic lines,a 3-D calculation method is further proposed. A laboratory size of 2intersected bipolar lines has been established. The measurement results ofelectrical field and ion current density at ground level have been compared to the simulated ones from the method. According to the calculation results of electrical field and ion current density at ground level, the influence of two 800 kV lines intersecting each other is analyzed. The ion flow field around a housenear a bipolar HVDC transmission line is discussed. A method of using test cageto evaluate the corona effect of HVDC transmission lines is put forwards withthe help of the numerical calculation of the ion flow field.

** **

**Prof. Junjie Zhang (Baoding Tianwei Baobian Electric CO., Ltd.)**

张俊杰，保定天威保变电气股份有限公司输变电技术研究院主任，教授级高工，1998年河北工业大学电机专业毕业，2012年华北电力大学电气工程硕士，《电工技术学报》、《大电机技术》审稿专家，北京首钢股份有限公司硅钢工程技术研究中心外聘专家，保变电气“双百”核心人才，明星员工，主要从事电磁基础研究和关键共性技术的研究工作，重点研究重-特-新型变压器、电抗器、移相器等输变电设备的电、磁、热、力仿真计算和评估技术，振动与噪声控制关键技术，以及故障产品电磁诊断、电磁材料特性科研等工作，曾完成国家重大装备首台1000MVA1000kV特高压变压器的电磁结构优化、防止局部过热分析和 3D 电场的分析（该设备作为主设的特高压交流工程2012年获国家科技进步特等奖）。参与合著著作2部，发表论文50余篇，起草国家标准1则，特邀报告10余篇，重特新产品仿真分析报告100余篇。

**报告题目: **__数字双胞胎的相似性与工程应用的需求__

数字仿真模型作为产品的数字双胞胎，必须“长得像”，具有高度的相似性（有效性），另外要高度的简化而不失关键特性以降低仿真时间，具有高效性。亦即有效和高效是数字数字双胞胎的两个最基本的特性。作为企业的仿真应用工程师，介绍一下自2005年后仿真技术大发展的14年来，电、磁、热、力等数字仿真技术在生产和科研一线应用的情况和效果，评价相关技术的成熟度，分析距离数字双胞胎有效性和高效性的差距，进而为仿真技术发展提出一些工程需求，建议仿真算法（更广义上讲科研）要服务于工程，也必须服从于工程需求，不能脱离工程应用而盲目自成体系地发展。

**Prof. Yanpu Zhao (Wuhan University)**

Yanpu Zhao obtained B.S. degree in 2006 from Hebei University of Technology and M.S. degree in 2009 from Nankai University. In 2010 he joined Department of Electrical Engineering of The Hong Kong Polytechnic University (PolyU) as a research assistant. He began pursuing his PhD at PolyU from July 2012 and obtained the PhD degree in 2015. Then he workedas a post-doctor in the ECE Department of Purdue University for 15 months. During March to April 2016, he was a Research Fellow at PolyU. From May 2016 to July 2019, he was a Senior Research and Development Engineer of ANSYS Inc. (Canonsburg,USA), developing ANSYS Maxwell 3D field simulation products. Since July 2019, he has been a full professor in the School of Electrical Engineering and Automation of Wuhan University.He is a member of IEEE. His research interests are computational electromagnetics, electric field analysis of high voltage apparatus, multiphysics simulation, high order and flexible finite element methods, low-frequency stable full wave Maxwell solvers, field-circuit-motion coupling techniques, parameter extraction methods, optimal design and fast mesh morphing methods. He has published 28 journal papers and 39 international conference papers.

**Title of the Presentation: **__Magnetic Vector Potential-based Formulations for Electromagnetic Field Analysis Including Both Inductive and Capacitive Effects__

The electromagnetic (EM) field analysis of electrically small devices, where wave propagation is negligible, are becoming more and more complicated which requires addressing the coupled inductive and capacitive effects simultaneously. Traditional low-frequency (LF) eddy-current solvers do not consider capacitive effect; while high-frequency solvers has the well-know LF break-down problem, which usually also do not consider the nonlinearity of material properties either. Existing work on this problem is reviewed first, then stable time- or frequency- domain magnetic vector potential (MVP)-based formulations, which can take into account the coupled inductive and capacitive effects, are proposed and numerical results are demonstrated for validation. Symmetric field-circuit coupling method is also presented. The proposed MVP formulations are to be applied in more complicated industrial applications.