Stefan Pollok

Stefan Pollok is a Postdoctoral Researcher at the Department of Energy Conversion and Storage, Technical University of Denmark (DTU), specializing in the intersection of magnetism and deep learning for advanced magnetic sensor development.

His research focuses on Extraordinary Magnetoresistance devices, magnetic field prediction, and deep learning applications in magnet design. Key investigations include topography effects, contact resistance impacts, and neural network optimization for magnetoresistive systems, leveraging computational physics and AI methodologies.

Recent publications reveal a strong trend toward generative adversarial networks for magnetic field modeling and structural optimization of magnetometers, demonstrating interdisciplinary innovation across physics and computer science.

Pollok actively supervises PhD candidate Sasi Kumar in the DTU project "Design and Modeling of Ultra-sensitive Bio-Magnetometers" (2022-2025), building on his recently completed doctoral work in deep learning for magnet optimization.

Based in DTU Energy's Structural Analysis and Modelling group, he collaborates with international researchers on next-generation magnetic sensing technologies for biomedical applications.