Forschungsbericht 2024
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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Machine Learning based data validation for signal integrity and power integrity using supervised time series classification - Journal Article
Hassab, Youcef; Hillebrecht, Til; Lurz, Fabian; Schuster, Christian
IEEE Transactions on Electromagnetic Compatibility 66 (6): 2150-2158 (2024)
Publisher DOI
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Calculation and Distribution of Losses in EMC Filters in the High-Voltage Power Train for an Electric Vehicle - Conference Paper
Bohl, Lennart; Rasek, Guido A.; Stohr, Thomas; Yang, Cheng; Schuster, Christian
IEEE International Symposium on Electromagnetic Compatibility, EMC Europe 2024
Publisher DOI
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Generation and application of a very large dataset for signal integrity via array and link analysis - Journal Article
Hillebrecht, Til; Alfert, Johannes; Schierholz, Christian Morten; Hassab, Youcef; Schuster, Christian
IEEE Transactions on Electromagnetic Compatibility 66 (6): 1967-1976 (2024)
Publisher DOI
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Data-Efficient Prediction of the Specific Absorption Rate in a Human Head Model Exposed to a Plane EM Wave Using Gaussian Process Regression - Conference Paper
Hassab, Youcef; Esmaeili, Hamideh; Schuster, Christian
2024 International Symposium on Electromagnetic Compatibility, EMC Europe 2024
Publisher DOI
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Evaluation of On-the-fly Scanning Effects on Complex Field Retrieval Using a Single Probe - Conference Paper
Yang, Cheng; Adam, Christian; Götschel, Sebastian
International Symposium on Electromagnetic Compatibility, EMC Europe 2024
Publisher DOI
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Efficient Iterative Data Generation Using Evaluation of Prioritized Input Parameters in ANNs for SAR Prediction in Human Head Models at 13.56 MHz - Journal Article
Esmaeili, Hamideh; Yang, Cheng; Schuster, Christian
IEEE Transactions on Electromagnetic Compatibility 66 (6): 1947-1957 (2024)
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SAR prediction for human head models considering dependencies on incident angle of exposure using parameter prioritization in ANNs - Conference Paper
Esmaeili, Hamideh; Yang, Cheng; Schuster, Christian
IEEE MTT-S International Microwave Biomedical Conference, IMBioC 2024
Publisher DOI
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Application of gaussian process regression for data efficient prediction of PCB-based power delivery network impedance features - Conference Paper
Hassab, Youcef; Schierholz, Christian Morten; Schuster, Christian
28th IEEE Workshop on Signal and Power Integrity, SPI 2024
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Dimensional reduction by auto-encoders in machine learning based power integrity analysis - Conference Paper
Nezhi, Zouhair; Stiemer, Marcus; Schierholz, Christian Morten; Schuster, Christian
28th IEEE Workshop on Signal and Power Integrity, SPI 2024
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PCB based power delivery network analysis using transfer learning and artificial neural networks - Conference Paper
Schierholz, Christian Morten; Schuster, Christian; Nezhi, Zouhair; Stiemer, Marcus
28th IEEE Workshop on Signal and Power Integrity, SPI 2024
Publisher DOI
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Uncertainty quantification of the insertion loss of an automotive PCB stripline - Conference Paper
Hernandez-Bonilla, Jose Enrique; Alavi, Golzar; Reuschel, Torsten; Yang, Cheng; Schuster, Christian
28th IEEE Workshop on Signal and Power Integrity, SPI 2024
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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 (in Press): (2024)
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Numerical analysis of orbital angular momentum waves regarding wave propagation and communication - Doctoral Thesis
Wulff, Michael
Springer 978-3-662-69081-9: (2024)
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Complex near-field measurement using on-the-fly scan with in-phase and quadrature demodulation - Conference Paper
Yang, Cheng; Adam, Christian; Götschel, Sebastian
German Microwave Conference, GeMiC 2024
Publisher DOI
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Partial image expansion applied to real near-field measurement data modeling - Conference Paper
Monopoli, Tomas; Wu, Xinglong; Yang, Cheng; Pignari, Sergio Amedeo; Grassi, Flavia; Wolf, Johannes
2024 IEEE Joint International Symposium on Electromagnetic Compatibility, Signal and Power Integrity and International Symposium on Electromagnetic Compatibility, EMC Japan & APEMC Okinawa 2024
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Projekte
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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
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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
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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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Optimierung von elektronischen Entwicklungsprozessen mit maschinellen Lernmethoden
Freie und Hansestadt Hamburg (FHH); Laufzeit 2021-2024
Projektleitung: Schuster, Christian
Mitarbeitende: Schierholz, Christian Morten
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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
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