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EMC Professional Talk – Andreas Barchanski: E&H – Instant Best Friends Forever
EMC Professional Talk – Andreas Barchanski: E&H – Instant Best Friends Forever
E&H – Instant Best Friends Forever Electromagnetic field theory is probably not the most favorite topic for many engineers, but it is crucial for understanding EMC. Many times, teaching of electromagnetic fields includes a lot of heavy mathematics obscuring the actual physics of electromagnetic fields. In this presentation, I use 3D electromagnetic field simulations to visualize the behavior of fields and how it results in effects that are important for EMC. After a short introduction to the calculation methods, I will discuss concepts that we use daily like voltage, current, power transfer and shielding in terms of electromagnetic fields. Some of the content you will probably have heard of, some of it might be surprising. 08.03.2022, 17:00 Uhr Zoom: https://ovgu.zoom.us/j/65212681357?pwd=T085Q3k5MUtUL01yaDhXNXkybkIzUT09 Meeting-ID: 652 1268 1357 Kenncode: 751648 The slides will be provided on demand after the meeting: http://sites.ieee.org/germany-emc/contact-us/ About the speaker: Dr. Andreas Barchanski - Andreas is a senior solution consultant for electromagnetic simulation at Dassault Systemes in Darmstadt, Germany. After receiving his PhD in numerical electromagnetics from the Darmstadt University of Technology in 2007 he has joined CST that later became a part of Dassault Systems. His main interest lies in the simulation of electromagnetic compatibility of electronic systems, ranging from high-speed digital to power electronics. Organisation: Dr.-Ing. Miroslav Kotzev, Ericsson Antenna Technology Germany IEEE German EMC Chapter - Coordinator Technical Teleconferences ieee_german_emc_chapter_technical_teleconference_AndreasBarchanski_updated
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EMC Professional Talk – Christian Schuster: Methods of Machine Learning: Tools or Toys for EMC Engineering?
EMC Professional Talk – Christian Schuster: Methods of Machine Learning: Tools or Toys for EMC Engineering?
Methods of Machine Learning: Tools or Toys for EMC Engineering? Over the past few years various methods of machine learning (ML) have attracted attention in engineering disciplines. EMC engineering is one of them and in this presentation we try to understand why and how they help with tasks that are essential to EMC. After a short introduction into ML representative EMC related publications are reviewed and results from our own research in the area of power integrity are presented. 22.03.2022, 17:00 Uhr Zoom: https://ovgu.zoom.us/j/65212681357?pwd=T085Q3k5MUtUL01yaDhXNXkybkIzUT09 Meeting-ID: 652 1268 1357 Kenncode: 751648 The slides will be provided on demand after the meeting: http://sites.ieee.org/germany-emc/contact-us/ About the speaker: Christian Schuster received the Diploma degree in physics from the University of Konstanz, Germany, in 1996, and the Ph. D. degree in electrical engineering from the Swiss Federal Institute of Technology (ETH), Zurich, Switzerland, in 2000. Since 2006 he is full professor and head of the Institute of Electromagnetic Theory at the Hamburg University of Technology (TUHH), Germany. Prior to that he was with the IBM T. J. Watson Research Center, Yorktown Heights, NY, where he was involved in high-speed optoelectronic package and backplane interconnect modeling and signal integrity design for new server generations. His currents interests include signal and power integrity of digital systems, multiport measurement and calibration techniques, and development of electromagnetic simulation methods for communication electronics. Within the IEEE he was serving as a Distinguished Lecturer for the EMC Society in the period 2012-2013, as a member of the Board of Directors of the EMC Society in 2015, and as the Chair of the German IEEE EMC Chapter in the period 2016-2019. Currently he is an Associate Editor for the IEEE Transactions on EMC and again a member of the Board of Directors of the EMC Society. Organisation: Dr.-Ing. Miroslav Kotzev, Ericsson Antenna Technology Germany IEEE German EMC Chapter - Coordinator Technical Teleconferences ieee_german_emc_chapter_professional_talk_Christian_Schuster_updated
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IEEE Global Engineering Education Conference (EDUCON) 2022
The IEEE Global Engineering Education Conference (EDUCON) 2022 is the 13th in a series of conferences that rotate among central locations in IEEE Region 8 (Europe, Middle East, and Africa). EDUCON is the flagship conference of the IEEE Education Society. Held every year since 2010, EDUCON provides an opportunity to scientists, professional engineers, and students to present their work, publish their results, exchange ideas and network for future scientific and industrial collaborations. The conference will continue to serve as a catalyst for connecting local and international stakeholders hence adding value to the global dialogue on how to positively contribute to the solution of the world’s engineering education. Accepted and presented papers will be published in the conference and will be submitted to the IEEE Xplore Digital Library and appear in the Conference Proceedings Citation Index (CPCI) - an integrated index within Web of Science. call for papers educon 2022