About
LinkedIn
linkedin.com/in/markus-de-koster-34309b241 GitHub
github.com/Markus-de-Koster/ Email
ibynugbdn@mozmail.com
linkedin.com/in/markus-de-koster-34309b241 GitHub
github.com/Markus-de-Koster/ Email
ibynugbdn@mozmail.com
I’m Markus, a PhD Student working at TH Köln in the field of Machine Learning (ML) for Power Systems. Research on the intersection of electrical power systems and computer science is my passion, and I love diving deep into the mathematics and algorithms.
Minimal CV
Education
- Ph.D. Student — Cologne University of Applied Sciences (TH Köln), Promotionskolleg NRW, 2024 - Present
Dissertation: Effective Graph Encoding of Power Grids for Machine Learning Tasks. - M.Sc., Computer Engineering — TH Köln, 2023
- B.Sc., Computer Engineering — TH Köln, 2021
Experience
- Scientific Assistant, TH Köln — 2023–Present
- Research on integration of renewable energies into distribution grids using graph-based methods and ML.
- Teaching assistance for the class Fundamentals of Electrical Engineering / Elektrotechnische Grundlagen
- Research Assistant, Fraunhofer Institute for Solar Energy Systems (ISE) Freiburg — 2021–2023
- Developed an energy management system infrastructure for coordinated charging of electric vehicles.
Publications
Check out all my publications and ongoing research projects on the research page.