Robin Deuber

Robin Deuber is a doctoral researcher currently conducting research at Bosch IoT Lab. He holds two master's degrees from ETH Zurich, one in Management, Technology, and Economics, and the other in Robotics, Systems, and Control. His research focuses on machine learning-based driver monitoring analytics, specifically on technologies for detecting drunk driving, aimed at reducing traffic accidents through multimodal data analysis. His work integrates real-time vehicle data, driver monitoring cameras, and physiological signals from wearable devices, demonstrating potential in real-world applications. Robin’s efforts not only advance technological innovation but also contribute positively to public safety.

• Present·Bosch IoT Lab·Doctoral Researcher
  • Responsible for research on driver monitoring analytics, including the development and optimization of drunk driving detection technologies. The focus of the research is on real-time monitoring using multimodal data (such as vehicle data, monitoring cameras, and physiological signals) to reduce traffic accidents.

• Present·ETH Zurich·Doctoral Studies
  • Research topic: Machine learning-based driver monitoring analytics
• Master’s in Management, Technology, and Economics | ETH Zurich
  • Focused on technology management and economics
• Master’s in Robotics, Systems, and Control | ETH Zurich
  • Focused on robotics and systems control