Nico Reeb

Nico Reeb is a Researcher at the Technical University of Munich, affiliated with the Chair for Robotics, Artificial Intelligence and Real-time Systems (I6). He joined the group in December 2020 and focuses on spiking neural networks and neuromorphic computing applications.

• Education:
  • B.Sc. in Physics (2018) from Ludwig-Maximilians University
  • M.Sc. in Physics (2020) from Ludwig-Maximilians University

His research bridges machine learning and computational neuroscience, with applications in automotive radar processing, 3D point cloud reconstruction, and neuromorphic hardware. He has contributed to the KI-ASIC project for energy-efficient AI in autonomous vehicles.

Recent publications highlight his work on spiking network optimization, phase-encoded signal processing, and sensor fusion techniques. His educational background includes a semester at the University of Queensland and research experience at the Max Planck Institute for Astrophysics.

• Key Projects:
  • KI-ASIC (Neuromorphic AI for autonomous vehicles)
  • ANTARES Neutrino Telescope (bioluminescence and neutrino detection)

He teaches courses like the SoSe 2021 Seminar on Bio-inspired Data Processing, and his work integrates physics-based approaches with computer science challenges.