Student thesis topics in our group are often aligned with our recent publications and our teaching.

Always familiarize yourself with the research topics of the research assistants before contacting them! You can also attend Prof. Marius Pesavento's office hour to discuss potential thesis topics in our group. Always provide your transcript of records (Leistungsspiegel) when approaching us for a student thesis!

Course Prerequisites

Good performances in the following courses is likely required for doing a student thesis in our group:

• Bachelor
  • Mathematik I,Mathematik II
  • Deterministische Signale und Systeme
  • Grundlagen der Signalverarbeitung
  • Matrix Analysis and Computations
• Master
  • Matrix Analysis and Computations
  • Sensor Array Processing and Adaptive Beamforming
  • Convex Optimization in Signal Processing and Communications

Experience in scientific computing (NumPy/PyTorch, MATLAB, Julia) is always beneficial for a student thesis!

Core data

Publications

• Marius Pesavento; Minh Trinh-Hoang; Mats Viberg: Three More Decades in Array Signal Processing Research: An optimization and structure exploitation perspective.
• Lukas Schynol, Marius Pesavento: Tutorial on "Model-Assisted Deep Learning For Communication Networks".