Daniel Plabst

M.Sc. Daniel Plabst is a Researcher at the Institute for Communications Engineering, part of the Technical University of Munich's TUM School of Computation, Information and Technology. He holds an M.Sc. from TUM (2018) and has been a research associate since 2019, supervised by Prof. Norbert Hanik until 2022 and Prof. Gerhard Kramer since 2023. His work focuses on Direct-Detection (DD) in short-reach fiber-optic communication, leveraging oversampling and inter-symbol interference for phase recovery in cost-effective systems.

• Education: M.Sc. in Communications Engineering from TUM (2018).
• Research Interests: Direct Detection, signal processing for fiber-optic systems, neural network-based interference cancellation, and nonlinear channel analysis.
• Teaching: Courses include Optical Communication Systems, Digital Signal Processing for Optical Systems, and laboratory courses in telecommunications and wireless communications.

His publications emphasize DD applications, neural network equalizers, and optimization of fiber-optic systems. He has contributed to projects like phase retrieval in DD receivers and bipolar constellation design for high-rate transmission. Current research involves neural network-based strategies for nonlinear channels.

Available theses focus on communication with coarse quantization and generalized message passing algorithms. He collaborates with the Institute's faculty and international groups like the University of Texas at Austin.