Prof. Dr. Valeri Mladenov, Technical University Sofia, Bulgaria

Professor Valeri Mladenov received his Ph.D. from Technical University of Sofia (TU Sofia), Bulgaria in 1993. In 2019 he defends a "Doctor of Sciences" thesis at the same institution. In 2004 he becomes Head of the Department of Theory of Electrical Engineering. Since June 2011 he is Dean of Faculty of Automation, since Dec. 2011 he has been Vice-Rector of TU Sofia and since Dec. 2015 he is Director of the directorate of Information and public relations. Currently, he is the head of Neurocomputing laboratory of TU-Sofia and Head of Artificial Intelligence and CAD systems lab at Sofia Tech Park. He is a guest lecturer at the Faculty of Electrical Engineering, Eindhoven University of Technology, in the Netherlands and many others. In 2014 he was Deputy Minister of Education and Science in the Caretaker Government in Bulgaria.

Prof. Mladenov's research interests are in the field of non-linear circuits and systems, neural networks, artificial intelligence, applied mathematics and signal processing. He has received many international research fellowships. He has more than 350 scientific papers in professional journals and conferences. He is a co-author of ten books and manuals for students. As a member of several editorial boards, Prof. Mladenov serves as an editor in chief, associate editor and reviewer for a number of professional journals and conferences. He is a Senior Member of IEEE, a member of the IEEE Circuit and Systems Technical Committee on Cellular Nanoscale Networks and Array Computing and Educational Activities Officer of the Bulgarian IEEE section. He is also a member of the International Neural Networks Society (INNS), member of the International Council of Large Electric Systems, (SIGRE), member of the Steering Committee of the International Symposium on Theoretical Electrical Engineering (ISTET), member of the Management Boards of the Scientific and Technical Union of the Power Engineers, and the Union of Automation and Informatics in Bulgaria.

Prof. Dr. Huai Wang, Aalborg University, Denmark

Huai Wang is currently Professor with the Center of Reliable Power Electronics (CORPE), and Vice Leader of the Efficient and Reliable Power Electronics Research Program at Aalborg University, Denmark. His research addresses the fundamental challenges in modelling and validation of power electronic component failure mechanisms, and application issues in system-level predictability, condition monitoring, circuit architecture, and robustness design. He also leads a project on light AI for cognitive power electronics.His team collaborates with various industry companies across the value chain from power electronic materials, components, to systems. Prof. Wang lectures three short-term Industrial/PhD courses on Reliability of Power Electronic Systems, Design FMEA in Power Electronics, and Capacitors in Power Electronics Applications at Aalborg University. He has contributed more than 100 journal papers and co-edited a book on Reliability of Power Electronic Converter Systems in 2015. He has given 25 tutorials at leading power electronics conferences (e.g., PCIM Europe, APEC, ECCE, etc.), and more than 80 invited talks.

Prof. Wang received his PhD degree from the City University of Hong Kong, Hong Kong, China, and B. E. degree from the Huazhong University of Science and Technology, Wuhan, China. He was a short-term visiting scientist with the Massachusetts Institute of Technology (MIT), USA, and ETH Zurich, Switzerland. He was with the ABB Corporate Research Center, Baden, Switzerland, in 2009. Dr. Wang received the Richard M. Bass Outstanding Young Power Electronics Engineer Award from the IEEE Power Electronics Society in 2016, for the contribution to reliability of power electronic converter systems. He serves as the Chair of IEEE PELS/IAS/IE Chapter in Denmark, General Chair of IEEE IFEC 2020, and Associate Editor of IEEE Transactions on Power Electronics.

Prof. Dr. Georgi Radulov, Eindhoven University of Technology, Netherlands

Dr. ing. Georgi I. Radulov, PDEng., MSc. is the chair of the Wide-band data converters (https://adda.wirelessresearch.nl/tiki-index.php) cluster within the IC Group of the Electrical Engineering faculty of Eindhoven University of Technology. He regularly blogs educational and research videos in the channel https://www.youtube.com/user/MSMTUE. Georgi was born in Plovdiv,Bulgaria, in 1978. He received the M.Sc. degree inelectrical engineering from the Technical Universityof Sofia, Sofia, Bulgaria, in 2001, the PDEng. degree from the Stan Ackermans Institute, Eindhoven University of Technology (TU/e) in 2004, and the PhD degree from the Eindhoven University of Technology (TU/e) in the Mixed-Signal Microelectronics group, Eindhoven, The Netherlands, in 2010. His publications include the topics of digital-to-analog and analog-to-digital converters, sigma-delta modulators, and can be tracked via https://scholar.google.nl/citations?user=VgbZ7z8AAAAJ

Prof. Dr. Valeri Mladenov

Introduction

Prof. Dr. Huai Wang

The Application of AI for Condition and Health Monitoring of Power Electronic Converters

Abstract: Condition and health monitoring is an important reliability engineering tool for realizing operation optimization, predictive maintenance, and high availability of power electronic converters. This webinar will discuss how AI can help to develop robust and cost-effective solutions for estimating the operation status and wear out conditions of key power electronic components. A few examples will be used to illustrate the latest research outcomes and future research opportunities.

Prof. Dr. Georgi Radulov

Artificial intelligence in modern redundant systems

Abstract: This webinar discusses the needs for artificial intelligence in modern redundant systems, such as hybrid phased-arrays. The discussion centers on the points of view of the CMOS data-converters. Two examples illustrate how AI can support performance at both low circuit and high application levels. The first example shows a novel beam-forming sigma-delta modulator designed for hybrid phased-array systems and how the AI intelligence can set its coefficients to maximize interferer suppression and emphasize target tracking. The second example discusses the errors in high-speed digital to analog converters and what the limitations are of the existing calibration algorithms. Both examples motivate the use of AI in future applications such as 6G wireless telecommunication and integrated mm-wave radar.

Q&A moderated by Prof. Dr. Valeri Mladenov (Chair)

Attendees are welcome to type in their questions in the Zoom Q&A section.

Active attendees are possible to win special gifts. 10 winners will be selected and announced after the webinar.