Bio
I received my master's degree (Dipl.-Ing.) in electrical engineering from Technische Universität Dresden (TUD), Germany, in 2018. In August 2018, I joined the Communications Theory group at TUD. From August 2019 to February 2023, I was with the Institute for Communications Technology at Technische Universität Braunschweig (TUBS), Germany, where I received my PhD in January 2022 under the supervision of Prof. Eduard Jorswieck. Since March 2023, I am working at the Department of Electrical and Computer Engineering at Princeton University as a postdoctoral research fellow in the research group of Prof. Vincent Poor.
News
- Mar 7, 2024: Our paper RISnet: A Domain-Knowledge Driven Neural Network Architecture for RIS Optimization with Mutual Coupling and Partial CSI is now available as a preprint on arXiv.
- Mar 4, 2024: Our 2023 GLOBECOM papers are now published on IEEExplore. In the article Non-Convex Optimization of Energy Efficient Power Control in Interference Networks via Machine Learning, we show how machine learning can be used for global optimization of non-convex power allocation problems. In the second article RISnet: A Scalable Approach for Reconfigurable Intelligent Surface Optimization with Partial CSI, we present a neural network architecture that is specifically designed to optimize RIS-assisted communication systems.
- Feb 15, 2024: I have released a new version of my bibtextools Python package. This version (0.4.0) adds the new functionality to automatically abbreviate journal names according to the ISO-4 standard.
Research Interests
- Ultra-reliable communications
- Copulas and dependency modeling (especially in the context of ultra-reliable communications)
- Application of machine learning in communications
- Physical layer security
The following UpSet Plot illustrates the topics of my publications.