Daniel Watzenig was born in Austria. He received his Master’s degree in electrical engineering and the doctoral degree in technical science from Graz University of Technology, Austria, in 2002 and 2006, respectively. In 2009 he received the venia docendi (habilitation) for Electrical Measurement and Signal Processing. Since 2006 he is Divisional Director and Scientific Head of the Automotive Electronics and Software Department of the Virtual Vehicle Research Center in Graz. In 2017 he has been appointed as Full Professor of Autonomous Driving at the Institute of Automation and Control, Graz University of Technology, Austria. Since 2015 he is Vice President of the ARTEMIS Industry Association (European Research Association on Embedded Control Systems). He is founder and team leader of the Autonomous Racing Graz Team (https://autonomousracing.ai/), one of currently six teams of the global race series ‘Roborace’.

His research interests focus on sense & control of automated vehicles, signal processing, multi-sensor data fusion, uncertainty estimation and quantification, and robust optimization. In 2005 and 2007 he was a visiting researcher at the University of Auckland, New Zealand, working on multi-sensor arrays and statistical signal processing. In 2011 and 2018 he was visiting researcher and guest lecturer at the Federal University of Rio de Janeiro. He is IEEE Senior Member of the IEEE Control Systems, Signal Processing, and Instrumentation & Measurement Societies.

He is author or co-author of over 200 peer-reviewed papers, book chapters, patents, and articles. Since 2018 he is an appointed expert of the connected and automated vehicles (CAV) foresight group of the European Automotive Research Partners Association (EARPA). He is Editor-in-Chief of the SAE Int. Journal on Connected and Automated Vehicles (SAE JCAV, launched in 2018) and member of the editorial board of the Journal Inverse Problems in Science and Engineering (IPSE). In 2019 he has been appointed as Robotics Expert by the Austrian Armed Forces. In 2016, he published the book “Automated Driving – safer and more efficient future driving” [1].

Since 2019 he is guest lecturer at Stanford University, USA, teaching multi-sensor perception, data fusion, and software for autonomous systems. He is Distinguished Lecturer of the IEEE Instrumentation and Measurement Society.

In 2019 he proposed and organized the IEEE Int. Conference on Connected Vehicles and Expo (ICCVE 2019) in Graz, Austria. The ICCVE is now the brand-new application-driven conference of the IEEE IMS and will be held every second year.

[1] D. Watzenig and M. Horn, Automated driving- safer and more efficient future driving, Springer, ISBN 978-3-319-31893-6 , 2016 (See springer.com for details)