Forschungsbericht 2025
Theoretische Elektrotechnik E-18
Leitung: Schuster, Christian
Oberingenieur: Yang, Cheng
Institut auf TORE
Institutswebsite
The Institut für Theoretische Elektrotechnik is part of the School of Electrical Engineering, Computer Science, and Mathematics of the Hamburg University of Technology, Germany. Areas of interest of the institute cover many aspects of theory, computation, and application of electromagnetic field properties. Special focus is put on:
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Numerical methods for computation of electromagnetic fiels and electrical circuits
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Signal and power integrity (SI/PI) as well as electromagnetic compatibility (EMC) of electronic systems
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Bioelectromagnetics and field design for medical imaging
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Microwave measurement techniques and components
The Institute for Electromagnetic Theory participates in the following coordinated research initiatives: ForLab-HELIOS (Hamburg Microelectronics Laboratory for Integrated Optoelectronic System) and MLE@TUHH (Machine Learning in Engineering @ TUHH):
ForLab-HELIOS is jointly carried out by four institutes from TUHH and partner institutes from the University of Hamburg and is financially supported by the federal government’s framework program for research and innovation.
MLE@TUHH is an initiative for combining competences in the field of machine learning at TUHH with the aim of transfering knowledge to business and industry. Students, doctoral candidates, postdocs, and professors from all disciplines at TUHH together with colleagues from the Helmholtz Center Geesthacht are committed to making methods and applications of machine learning better known and to building a network for scientific exchange.
Publikationen
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Developments in machine learning based modeling and design for electromagnetic compatibility - Journal Article
Hassab, Youcef; Schierholz, Christian Morten; Bohl, Lennart; Esmaeili, Hamideh; Hillebrecht, Til; Yang, Cheng; Heßling, Jan; Schuster, Christian
IEEE Electromagnetic Compatibility Magazine 14 (4): 69-80 (2025)
Publisher DOI
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Data-driven path loss estimation in human body communication: enhancing efficiency via parameter prioritization and transfer learning - Conference Paper
Esmaeili, Hamideh; Liu, Lijia; Yang, Cheng; Wang, Jianqing; Schuster, Christian
55th European Microwave Conference, EuMC 2025
Publisher DOI
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Full-body vs. head-only modeling: Full wave computational SAR and adaptation of corresponding ANN models - Conference Paper
Esmaeili, Hamideh; Yang, Cheng; Schuster, Christian
International Symposium on Electromagnetic Compatibility, EMC Europe 2025
Publisher DOI
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Data-driven path loss estimation in human body communication: enhancing efficiency via parameter prioritization and transfer learning - Conference Paper
Esmaeili, Hamideh; Liu, Lijia; Yang, Cheng; Wang, Jianqing; Schuster, Christian
55th European Microwave Conference, EuMC 2025
Publisher DOI
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Electric vehicle HV-DC EMC filter loss due to variations in AC-load configuration - Conference Paper
Bohl, Lennart; Rasek, Guido A.; Abdallah, Mohamed; Yang, Cheng; Schuster, Christian
International Symposium on Electromagnetic Compatibility, EMC Europe 2025
Publisher DOI
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Relational SI/PI-database for a data-driven approach to PCB design automation and performance prediction - Journal Article
Hillebrecht, Til; Weber, Tommy; Alfert, Johannes; Schuster, Christian
IEEE Transactions on Components Packaging and Manufacturing Technology 15 (9): 1847-1856 (2025)
Publisher DOI
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Unified pre-processing steps reducing the PCB design space to enable ML applications for signal and power integrity analysis - Conference Paper
Hillebrecht, Til; Weber, Tommy; Alfert, Johannes; Schuster, Christian
29th IEEE Workshop on Signal and Power Integrity, SPI 2025
Publisher DOI
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Data-driven prediction of temperature-dependent dielectric and conductive parameters based on differential stripline characteristics - Conference Paper
Hernandez-Bonilla, Jose Enrique; Wendt, Torben; Reuschel, Torsten; Yang, Cheng; Schuster, Christian
29th IEEE Workshop on Signal and Power Integrity, SPI 2025
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Adaptive On-the-fly Scan Method for Fast and Efficient Planar Near-field Acquisition - Journal Article
Yang, Cheng; Monopoli, Tomas; Götschel, Sebastian; Wu, Xinglong; Grassi, Flavia; Schuster, Christian
IEEE Antennas and Wireless Propagation Letters 24 (8): 2143-2147 (2025)
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Design challenges for high-speed digital links for automotive applications - Journal Article
Hernandez, Jose Enrique; Klein, Christian; Alavi, Golzar; El Ouardi, Abdessamad; Reuschel, Torsten; Schuster, Christian
IEEE Electromagnetic Compatibility Magazine 13 (4): 88-95 (2025)
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Raster scan imaging in atomic force microscopy: new perspectives and potential of using signal and system theory - Conference Paper
Yang, Cheng; Ribas Gomes, Diego
XXIV IMEKO World Congress 2024
Publisher DOI
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Morphological Search for Near-Field Equivalent Infinitesimal Dipole Models - Journal Article
Monopoli, Tomas; Wu, Xinglong; Yang, Cheng; Schuster, Christian; Pignari, Sergio Amedeo; Wolf, Johannes; Grassi, Flavia
IEEE Transactions on Electromagnetic Compatibility 67 (2): 566-577 (2025)
Publisher DOI
Projekte
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Automated Evaluation of Physics-and Data-Based Approaches for SI and EMI Optimization in Cable and Connector Assemblie
European Union; Laufzeit 2025-2028
Projektleitung: Schuster, Christian
Mitarbeitende: Kvizhinadze, Mikheil
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Generation of an Adaptive Database in Combination with Methods of Machine Learning
European Union; Laufzeit 2025-2028
Projektleitung: Schuster, Christian
Mitarbeitende: Talibzade, Nazim
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NGCN -
Next Generation City Networking, Themenkomplex PIONEER_6G
Deutsches Zentrum Mobilität der Zukunft; Laufzeit 2025-2027
Projektleitung: Kölpin, Alexander; Timm-Giel, Andreas; Bauch, Gerhard; Yang, Cheng; Kiener, Maximilian; Schulte, Stefan
Co-Projektleitung: Müller-Lietzkow, Jörg; Noennig Jörg Rainer; Dehbi, Youness
Mitarbeitende: Rahman, Abidur
Externe beteiligte Einrichtungen: HafenCity Universität Hamburg; Deutsches Forschungszentrum für Künstliche Intelligenz GmbH; Björn-Steiger-Stiftung; BREUER Nachrichtentechnik GmbH
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TEFDEV -
Thermo-Electrical EMC Filter Design for Electric Vehicles
Valeo eAutomotive Germany GmbH; Laufzeit 2023-2025
Projektleitung: Schuster, Christian
Co-Projektleitung: Bohl, Lennart
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Roboter-Nahfeldmessung unter Verwendung der Einzelsonden-OTF-Technik
Technische Universität Hamburg; Laufzeit 2023-2025
Projektleitung: Yang, Cheng
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Aktives Lernen zur Optimierung von EMV-Prozessen
Konrad Adenauer Stiftung; Laufzeit 2022-2025
Projektleitung: Schuster, Christian
Mitarbeitende: Hassab, Youcef
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Daten Getriebener Entwurf und Analyse von Hochgeschwindigkeits Verbindungen of Leiterplatten
Freie und Hansestadt Hamburg (FHH); Laufzeit 2022-2026
Projektleitung: Schuster, Christian
Mitarbeitende: Hillebrecht, Til
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Methoden des maschinellen Lernens für Anwendungen in der Bio-EMV
Freie und Hansestadt Hamburg (FHH); Laufzeit 2021-2025
Projektleitung: Schuster, Christian
Mitarbeitende: Esmaeili, Hamideh
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Entwurf von High-Speed Interconnects für Gbps-Verbindungen im Automobilbereich
Robert Bosch GmbH; Laufzeit 2021-2025
Projektleitung: Schuster, Christian
Mitarbeitende: Hernandez, Jose Enrique
Externe beteiligte Einrichtungen: Robert Bosch GmbH
Kooperationspartner
- Bosch
- Cisco
- Frauenhofer IZM, RF & Smart Sensor Systems
- Georgia Tech, 3D Systems Packaging Research Center (PRC)
- Ghent University, IDLAB- Internet Technology and Data Science Lab
- Hella
- Heriot Watt Universität, Institute of Sensors, Signals & Systems
- IBM Deutschland Research & Development GmbH
- IETR, L’Institut d’Électronique et des Technologies du numéRique
- Nexperia
- KOA Europe GmbH
- Missouri University of Science and Technology, Electromagnetic Compatibility Laboratory
- PATTERN
- Politecnico di Milano, Electronics & Informatics and Bioengineering Department
- Politecnico di Torino, Electronics & Telecommunications Department/ EMC Group
- Rosenberger Hochfrequenztechnik GmbH & Co. KG
- Tecnológico de Costa Rica (TEC), Electronics Engineering Department
- University of Tartu, Institute of Computer Science
- Philips Research Hamburg
- University of Toronto, Electrical & Computer Engineering
- Valeo eAutomotive, Erlangen, Deutschland
Großgeräte