Simon Leszek

Dr. Simon Leszek is a Postdoctoral Researcher at the Machine Learning Group of Technische Universität Berlin, affiliated with Prof. Dr. Klaus-Robert Müller's research team. Previously, he worked at Siemens Energy (2015-2020) developing technical solutions for renewable energy systems before returning to academia.

• Educational Background
  • M.Sc. Energy Engineering (2015), Universitaet Stuttgart
  • PhD in Machine Learning (2024), TU Berlin
  • Summer School on Mathematics of Deep Learning (2019), Zuse Institute Berlin
  • European Summer School on Sustainable AI (2022), INRIA-DFK Saarbruecken

His research focuses on ML solutions for industrial systems, with a particular emphasis on Explainable AI (XAI) for regression models, time series analysis, and anomaly detection in technical systems. Current projects include the RIESIQ initiative for AI in industrial manufacturing and collaborations with Mayo Clinic on Deep Brain Stimulation (DBS) technology. His work bridges applications in energy systems, biomedical sensing, and smart home appliances.

• Scientific Collaborations
  • BSH Hausgeraete GmbH (2020-2023): ML algorithms for smart home appliances
  • Mayo Clinic: Advancing Deep Brain Stimulation technology
  • RIEISQ Project: State-of-the-art AI solutions in industrial manufacturing