01/2016 – 02/2023: Virtual Vehicle Research Center (Austria) – Senior researcher & Project Leader
Successful scientific European research projects and project management, Marie Curie scholarship & European research network: ITEAM: https://iteam-project.net/, SHOW: https://show-project.eu/

02/2014 – 12/2015: Bertrandt GmbH – Engineer in Vehicle Safety for BMW (Germany)
Innovations in vehicle testing with pattern recognition and machine learning

09/2016 – 07/2022: University of Technology Graz (Austria) – PhD thesis (Summa cum Laude) under supervision of Prof. Daniel Watzenig (Full professor in automated driving)
Thesis about safety of vulnerable road users in complex and unstructured environments
(Graduation with distinction)

10/2010 – 07/2013: Study in Electrical Engineering and Information Science at the Technical University of Munich (Excellence University at Germany)
Master Thesis at Cluster of Excellence Cognition for Technical Systems (CoTeSys) and specialization at cognitive technical systems (computer science and human cognition)

10/2006 – 07/2010: Study in Electrical Engineering and Information Science at the University of Applied Sciences Würzburg/Schweinfurt (Germany)

INVITED TALKS

• 2022: Partner-Board Meeting SHOW (Greece)
• 2022: PhD days Virtual Vehicle Research Network (Online)
• 2022: SHOW research network (Europe)
• 2020: University of California, Berkeley (USA)
• 2020: COLIBRI University Graz (Austria)
• 2019: Stanford University (USA)
• 2019: University of California, Berkeley (USA)
• 2018: Autonomous Vehicle Test & Development Symposium (Germany)
• 2018: IoT Connected Smart Cars and Vehicles Forum (Germany)
• 2017: Autonomous Vehicle Software Symposium (Germany)
• 2017: Graz Symposium Virtual Vehicle (Austria)
• 2017: University Compiegne (France)
• 2016: University Liverpool (United Kingdom)

VISITING RESEARCH STAYS

• 07/2019 – 01/2020: University of California, Berkeley (USA) – Deep Drive & PATH https://path.berkeley.edu/home,  https://deepdrive.berkeley.edu/
• 03/2018 – 05/2018: University of Pavia (Italy) – Identification and Control of Dynamic Systems Laboratory sisdin.unipv.it/lab/index.php
• 09/2017 – 11/2017: University of Compiègne (France) – Intelligent and Autonomous Vehicles - UTC Heudiasyc https://www.hds.utc.fr/
• 10/2016 – 11/2016: University of Liverpool (United Kingdom) – Institute for Risk and Uncertainty https://www.liverpool.ac.uk/risk-and-uncertainty-cdt/

AWARDS, EDUCATIONAL- AND OUTREACH ACTIVITIES

Awards:

• 2022 Ph.D. thesis Summa Cum Laude, Graduation with distinction
• 2021 Leadership Academy Fellowship (German Scholar Organization)
• 2019-2020: Research Abroad scholarship
• 2019-2020: Research stay: University of California, Berkeley
• 2019: Rudolf Chaudoire prize for scientists
• 2016-2019: Scholarship: European Commission Marie Curie Fellow
• 2016-2019: ITEAM Fellow https://iteam-project.net/participants/
• 2018: Honorary research assistant Liverpool
• 2013: Graduation at Excellence University Technical University Munich
• 2013: Master Thesis at Excellence Cluster CoTeSys Technical University Munich

Memberships and professional activities:

• 2020: Community leader in GAIN for Graz & Vienna
• https://www.gain-network.org/de/vernetzen/stammtische/
• 2020: Stifterverband https://www.stifterverband.org/
• 2019: German Academic International Network (GAIN) https://www.gain-network.org/en/
• 2016: – present IEEE https://www.ieee.org/
• Network with professionals – Professors, Company leaders and scholars around the world
• Expert for external funding and collaboration with startups and automotive manufacturers

SELECTED PATENTS

• Improved pedestrian prediction by using enhanced map data in automated vehicles
• Method and process for co-simulation with virtual testing of real environments with pedestrian interaction
• Method and process for motion planning in (un-)structured environments with pedestrians and use of probabilistic manifolds
• Method and process virtual testing of real environments with pedestrian interaction and drones
• Pattern and dimensionality reduction in testing vehicles

• Hartmann, Michael “Stochastic pedestrian models for autonomous vehicles”, Ph.D. thesis (2022)
• (Link: https://figshare.com/articles/thesis/Stochastic_pedestrian_models_for_autonomous_vehicles/21090139) DOI: 10.6084/m9.figshare.21090139  
• Hartmann, Michael and Watzenig, Daniel „Optimal motion planning with reachable sets of vulnerable road users “, 30th IEEE Intelligent Vehicles Symposium, (2019).
• Hartmann, Michael and Stolz, Michael and Watzenig, Daniel. "Movement prediction hypotheses for pedestrians and trajectory planning for cooperative driving systems." SAE International Journal of Connected and Automated Vehicles (2019).
• Michael, Hartmann, and Watzenig Daniel. „Pedestrians walking on reachable sets and manifolds.” IEEE 2019 International Conference on Mechatronics (2019).
• Michael, Hartmann, and Watzenig Daniel. "Data-based reachability analysis for movement prediction of pedestrians and motion planning." 2018 IEEE International Conference on Vehicular Electronics and Safety (ICVES). IEEE, 2018.
• Hartmann, Michael, et al. “Pedestrian in the Loop”: An approach using virtual reality." 2017 XXVI International Conference on Information, Communication and Automation Technologies (ICAT). IEEE, 2017.