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Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

Please note that all times are shown in the time zone of the conference. The current conference time is: 17th May 2024, 07:20:56am CEST

Session Overview

Date: Wednesday, 20/Sept/2023
8:30am - 10:10am	Oral Session 3-1: Biomedical Application/Inverse Problems Location: Lecture Hall Session Chair: Jens Haueisen Session Chair: Elisabetta Sieni
	8:30am - 8:50am ID: 107 / Oral Session 3-1: 1 Abstract submission for on-site presentation Topics: Inverse problem, Application Keywords: magnetic dipole fit, Magnetic Marker Monitoring Online magnetic dipole localization with improved stability Olaf Kosch, Frank Wiekhorst Physikalisch-Technische Bundesanstalt, Germany 8:50am - 9:10am ID: 150 / Oral Session 3-1: 2 Abstract submission for on-site presentation Topics: Application Keywords: Electric field simulations, Transorbital electrical stimulation, Optimization, Visual Field Restoration Optimization Pipeline for Electrode Positioning in Transorbital Electrical Stimulation Maria Anne Bernhard¹, Alexander Hunold^1,2, Michael Schittkowski³, Christian van Oterendorp³, Johanna Pohlner³, Andrea Antal³, Jens Haueisen^1,4 ¹Technische Universität Ilmenau, Germany; ²neuroConn GmbH, Ilmenau, Germany; ³Universitätsmedizin Göttingen, Germany; ⁴Department of Neurology, Biomagnetic Center, University Hospital Jena, Germany 9:10am - 9:30am ID: 151 / Oral Session 3-1: 3 Abstract submission for on-site presentation Topics: Inverse problem, Application, Theoretical aspects and fundamentals Keywords: Maxwell's Equations, Parabolic Transmission Problem, Lorentzian Nanoparticle, Plasmonic and Dielectric Resonances. Heat Generation Using Lorentzian Nanoparticles. The Full Maxwell System Arpan Mukherjee^1,2, Mourad Sini¹ ¹Radon Institute (RICAM), Austrian Academy of Sciences, Austria; ²Johannes Keplar Universität Linz, Austria 9:30am - 9:50am ID: 136 / Oral Session 3-1: 4 Abstract submission for on-site presentation Topics: Inverse problem, Application, Algorithms Keywords: beamformer, MEG, MNE-CPP, real-time, source reconstruction Real-Time Beamformer Application for MEG Source Reconstruction in MNE-CPP Kerstin Pansegrau^1,2, Johannes Vorwerk², Jens Haueisen¹, Daniel Baumgarten^1,2 ¹Technische Universität Ilmenau, Germany; ²UMIT TIROL, Austria 9:50am - 10:10am ID: 145 / Oral Session 3-1: 5 Abstract submission for online presentation Topics: Inverse problem, Application Keywords: EEG, Epilepsy, Functional Connectivity, Phase Lag Index, Seizures Graph-based Functional Connectivity Analysis and Inverse Problem of EEG in Subjects with Epilepsy Michele Lo Giudice¹, Nadia Mammone², Francesco Carlo Morabito², Alessandro Salvini¹ ¹Department of Civil, Computer Science and Aeronautical Technologies Engineering, Roma Tre University, Italy; ²DICEAM Department, University “Mediterranea” of Reggio Calabria, Italy
10:10am - 10:30am	Coffee break Location: Hotel NovaPark
10:30am - 11:50am	Oral Session 3-2: Inverse Problems/Numerical Methods Location: Lecture Hall Session Chair: Silvia Gazzola Session Chair: Daniel Baumgarten
	10:30am - 10:50am ID: 132 / Oral Session 3-2: 1 Abstract submission for on-site presentation Topics: Inverse problem Keywords: Hysteresis, Inverse problems, Material data, Neural networks, PINNs. Material data identification by application of physics informed neural networks on an induction heating test rig Mohammad Zhian Asadzadeh¹, Johann Riedler², Klaus Roppert³, Peter Raninger⁴ ¹Materials Center Leoben Forschung GmbH (MCL), Austria; ²Materials Center Leoben Forschung GmbH (MCL), Austria; ³Technical University of Graz, Institute for the fundamentals and theory of electrical engineering, Austria; ⁴Materials Center Leoben Forschung GmbH (MCL), Austria 10:50am - 11:10am ID: 143 / Oral Session 3-2: 2 Abstract submission for on-site presentation Topics: Inverse problem, Application Keywords: Contactless inductive flow tomography, inverse problems, magnetohydrodynamics Contactless Inductive Flow Tomography with conducting boundaries Peter Cornelis Molenaar¹, Thomas Wondrak², Ralf Theo Jacobs¹, Hans Georg Krauthäuser¹ ¹Technische Universität Dresden, Germany; ²Helmholtz-Zentrum Dresden - Rossendorf, Germany 11:10am - 11:30am ID: 124 / Oral Session 3-2: 3 Abstract submission for on-site presentation Topics: Inverse problem Keywords: Inverse problem, corrosion diagnosis, BEM, ships electric signature Hybrid snapshots-Steklov BEM basis to identify hull corrosion states from nearby electric field measurements François Tavernier¹, Olivier Chadebec¹, Olivier Pinaud¹, Bertrand Bannwarth¹, Arnaud Guibert², Cédric Goëau² ¹Univ Grenoble Alpes, CNRS, Grenoble INP, G2Elab, 38000 Grenoble, France; ²DGA Techniques Navales, 29200 Brest, France 11:30am - 11:50am ID: 119 / Oral Session 3-2: 4 Abstract submission for on-site presentation Topics: Inverse problem Keywords: inverse problems, adjoint method, material parameter determination Adjoint Method for Inverse Problems in Electromagnetics Manfred Kaltenbacher¹, Barbara Kaltenbacher², Andreas Gschwentner¹, Stefan Ulbrich³, Alice Reinbacher-Köstinger¹ ¹TU Graz, Austria; ²AAU Klagenfurt, Austria; ³TU Darmstadt, Germany
11:50am - 12:00pm	Coffee break Location: Hotel NovaPark
12:00pm - 12:40pm	Oral Session 3-3: Inverse Problems/Numerical Methods Location: Lecture Hall Session Chair: Silvia Gazzola Session Chair: Daniel Baumgarten
	12:00pm - 12:20pm ID: 117 / Oral Session 3-3: 1 Abstract submission for on-site presentation Topics: Algorithms Keywords: electric machines; generalised Sobol sensitivity; multivariate sensitivity analysis; polynomial chaos expansion Efficient Multivariate Sensitivity Analysis for Electric Machines using Anisotropic Polynomial Chaos Expansions Eric Emanuel Diehl¹, Herbert De Gersem², Dimitrios Loukrezis^1,2 ¹Siemens AG, Germany; ²TU Darmstadt, Germany 12:20pm - 12:40pm ID: 115 / Oral Session 3-3: 2 Abstract submission for online presentation Topics: Inverse problem Keywords: Deep learning, source-identification problem, magnetic field A magnetostatic source-identification problem solved by means of deep learning methods Sami Barmada¹, Paolo Di Barba², Nunzia Fontana¹, Maria Evelina Mognaschi², Mauro Tucci¹ ¹DESTEC Department, University of Pisa, Italy; ²Dept. of Electrical, Computer and Biomedical Engineering,University of Pavia, Italy
12:40pm - 1:00pm	Closing Session Location: Lecture Hall Session Chair: Paolo Di Barba Session Chair: Jan Sykulski Session Chair: Manfred Kaltenbacher
1:00pm - 2:00pm	Lunch Location: Hotel NovaPark
7:00pm - 10:00pm	Social event for participants of the PhD course

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