About Prof. Markus Hahn

Industry Experience

Head of Safety Functions (2019-2022)

Continental AG - Ulm, Lindau, Frankfurt Germany

• Led emergency braking software development for automotive systems
• 150+ team members worldwide
• Full-time position

Product Owner Radar & Tech Lead (2016-2019)

Daimler AG - Stuttgart & Ulm

• Developed radar perception systems for autonomous driving
• Led cross-functional engineering teams

Principal Engineer (2012-2017)

Daimler AG

• Research and development in ADAS and autonomous driving

Senior Developer (2010-2012)

Robert Bosch GmbH - Leonberg

• Radar sensor development and signal processing

Academic Background

Professor of Electrical Engineering at Ulm University of Applied Sciences since 2022.

• 2007: Diploma in Cognitive Robotics, TU Ilmenau
• 2011: Dr.-Ing., University of Bielefeld & Daimler AG (Safe Human-Machine Interaction)

Research Focus

My research centers on making sensors and edge devices “think” - bringing AI capabilities directly to the point of data collection:

• Edge AI: Local processing for privacy and efficiency
• Radar Scene Understanding: Deep learning for automotive radar
• Sensor Fusion: Multi-modal perception for autonomous systems
• Distributed Systems: Software architectures for embedded AI

Current Projects

MIKE Project (2023-Present)

BMBF-Funded: “Mehr Inklusion durch smarte KI auf Endgeräten”

• Leading research on Edge AI for accessibility
• Collaboration with Lebenshilfe Donau-Iller e.V.
• Focus: Local AI processing for privacy-preserving assistive technology

Teaching

Courses at Ulm University of Applied Sciences:

• Software Architectures for AI Systems
• Edge Computing and AI
• Distributed Systems
• Introduction to Programming (C/C++)

Selected Publications

• RadarScenes (2021): Real-world radar dataset - 1000+ citations
• Scene Understanding with Automotive Radar (2020): IEEE T-IV survey paper
• Semantic Radar Grids (2017): Novel representation for radar data

Full publication list →

Supervised Doctoral Theses

• Amir Laribi (2024): High Resolution Radar for 3D Estimation
• Ole Schumann (2021): Machine Learning for Radar Classification
• Jakob Lombacher (2021): Semantic Environment Perception with Radar
• Matthias Rapp (2019): Robust Representation of Dynamic Environments

Awards & Recognition

• Best Paper Awards: ITSC 2015, ICMIM 2018 (×2), IEEE Radar 2018
• DAGM Young Researcher Award (3rd Prize, 2007)

Professional Service

• IEEE Transactions on Intelligent Vehicles (Reviewer)
• IEEE Transactions on Intelligent Transportation Systems (Reviewer)
• IEEE Transactions on Radar Systems (Reviewer)