News

13.09.2024: Our team from the Institute für Theoretische Elektrotechnik spent a varied and exciting day at the Loki Schmidt Garden. 🌿 During a fascinating guided tour, we had the chance to dive into the world of plants. It was not only super interesting but also a great opportunity to enjoy nature together as a team. 😊 Hamideh Esmaeili Cheng Yang Johannes Alfert Morten Schierholz

06.09.2024: Visit at TUHH by Prof. Jianqing Wang, Nagoya Institute of Technology (NITech), Nagoya, Japan, within the IEEE Distinguished Lecturer program of the IEEE EMC Society. Invited talk on the topic of: “Body Area Communications”. We are very grateful for his visit and the knowledge he shared with us. We look forward to welcoming him back to the Hamburg University of Technology in the future. The picture shows from left to right: Prof. Christian Schuster; Prof. Jianqing Wand and Dr. Cheng Yang

Two Open PhD Positions in AI-Driven EMC at TUHH!

The DN PATTERN European Doctoral Network is seeking two doctoral candidates to join Hamburg University of Technology (TUHH) in 2025 as part of an EU-funded project.

Open Positions:

  • DC6: Develop an adaptive database using machine learning for signal integrity (SI) and electromagnetic interference (EMI) prediction.
  • DC9: Automate assessments of physics-based vs. data-based approaches for optimizing SI and EMI in cables and connectors.

Application Deadline: September 30, 2024
Start Date: Early 2025
How to Apply: Visit here
More Info: PATTERN DC6 & DC9

02.09.2024 – 05.09.2024: We are pleased to announce that the following three papers have been accepted and will be presented at this year’s  EMC Europe 2 in Bruges, Belgium! EMC_europe2024 

Title: Calculation and Distribution of Losses in EMC Filters in the High-Voltage Power Train for an Electric Vehicle
Authors: Lennart Bohl, Guido A. Rasek, Thomas Stöhr , Cheng Yang, Christian Schuster

Title: Data-Efficient Prediction of the Specific Absorption Rate in a Human Head Model Exposed to a Plane EM Wave Using Gaussian Process Regression
Authors: Youcef Hassab, Hamideh Esmaeili, Christian Schuster

Title: Evaluation of On-the-fly Scanning Effects on Complex Field Retrieval using a Single Probe
Authors: Cheng Yang, Christian Adam, Sebastian Götschel

EMC_europe2024 emc

31.07.2024: As part of the vacation program at Hamburg University of Technology our university recently hosted an exciting workshop using the BOB3 learning module to teach middle school students C++ in a fun, hands-on way! Together with Swantje Plambeck and Til Hillebrecht, the young coders engaged in an interactive sessions, solving problems, and bringing their little robot to life. Their enthusiasm and creativity were truly inspiring!

CodingForKids C++ STEMEducation BOB3 FutureTechLeaders HandsOnLearning

09.07.2024: Visit by Dr.-Ing. Torsten Reuschel, former PhD student at our institute and currently working at the University of New Brunswick in Fredericton, Canada. Dr.-Ing. Torsten Reuschel presented his current field of work on the topic: “Development of Measurement Instrumenatation for Ionospheric Obersvation in the Canadian Arctric”.

11.06.2024 – 13.06.2024: We are thrilled to announce that our paper titled “SAR Prediction for Human Head Models Considering Dependencies on Incident Angle of Exposure Using Parameter Prioritization in ANNs” has been accepted and presented at IMbioC2024! We would like to extend our heartfelt gratitude to Prof. Zoya Popovic for presenting this work on behalf of main author, our Ph.d student, Hamideh Esmaeili. This paper delves into the prediction of Specific Absorption Rate (SAR) in human head models, focusing on the impact of the incident angle of exposure. By employing parameter prioritization in Artificial Neural Networks (ANNs), we aim to enhance the accuracy and efficiency of SAR predictions, contributing to safer and more effective bio-electromagnetic applications. We are excited about the opportunities this research opens up and look forward to continuing our work in this dynamic field. #EMC BioElectromagnetics MachineLearning SAR Research IMbioC2024 Conference