Current Visitors
Christoph Würsch
Christoph Würsch earned his physics degree from the Swiss Federal Institute of Technology (ETH) in Lausanne and Zurich, completing in 1994. In 1998, he received his doctorate for research on quantum effects in low-dimensional magnetic systems at ETHZ’s Laboratory for Solid State Physics under Prof. Dr. Danilo Pescia. After two years developing innovative, miniaturized hearing aids at Phonak AG, he joined HILTI AG’s Advanced Mechatronics group, contributing to novel actuator, sensor, and control concepts for construction work. In 2004, he transitioned within HILTI AG to the Business Unit Measuring Systems, where he played a key role in developing sensors to detect underground objects using broadband induction methods and radar technology. As a team leader, he headed the Sensing, Optics & Test group. Since August 2013, he’s a Professor for Mathematics, Physics and Machine Learning at the Institute for Computational Engineering ICE at NTB, now OST, Eastern Switzerland University of Applied Science. He holds over 40 patents and is a member of the IEEE, VDI, and DPG.
Areas of Expertise:
- Modeling and simulation of multiphysics systems
- Machine Learning (Deep Learning, Reinforcement Learning)
- Model reduction and simulator construction
- Electromagnetism, high-frequency technology, UWB radar technology
- Model-based signal processing and inverse problems
Personal Webiste: Visit Christoph’s Homepage
Samuel Niederer
Samuel Niederer is a visiting student from the Eastern Switzerland University of Applied Sciences (OST), where he is pursuing his Master’s degree under the supervision of Prof. Guido M. Schuster. He earned his Bachelor’s degree in Electrical Engineering from OST in 2021. During his Master’s studies, he has been working part-time at the Interdisciplinary Center for Artificial Intelligence (ICAI), developing algorithms for object and anomaly detection to inspect power lines via drone imagery. In addition, he has served as a teaching assistant for image processing courses. He is currently collaborating with the Image and Video Processing Lab (IVPL) on his Master’s thesis, which focuses on event camera data compression. He is expected to complete his Master’s degree in Data Science by March 2024.
Personal Webiste: Visit Sam’s Homepage
Angelo Schneiter
Angelo Schneiter, concurrently pursuing his Master’s degree, is actively engaged in research at the Institute of Computational Engineering. With a Bachelor’s degree in Electrical Engineering from the University of Applied Sciences Buchs NTB (now OST), he delved into the domain of monocular deep estimation with neural networks for his undergraduate thesis. Building upon this foundation, he embarked on his Master’s studies in Data Science, concentrating on sports data analysis. Presently, his academic pursuits are complemented by his involvement in ongoing research. Specifically, his research endeavors encompass the in-depth analysis of impedance cardiography signals, exploring their intricate correlation with heart function and pumping performance. Leveraging advanced machine learning techniques, he is dedicated to predicting pumping performance based on the insights derived from these signals.
Personal Webiste: Visit Angelo’s Homepage
Past Visitors
Jonas Schmid
Jonas Schmid is a visiting student from HS Rapperswil in Switzerland where he is currently pursuing his master’s degree supervised by Prof. Guido M. Schuster. At the moment he is working on his master’s thesis at the Image and Video Processing Lab (IVPL) at Northwestern University. His current research interests include neural networks, and in particular, capsule networks. While he pursues his degree, Jonas continues to work at Stettbacher Signal Processing in Zürich Switzerland as a developing engineer in the field of real time signal processing on embedded Linux systems.