About the summer school

“AI-enabled mobility” (AIEM)

Organized by VIRTUAL VEHICLE and technical university of Graz  

September 14-16, 2020 | Start 08:45 AM Central European Time (CEST) | LIVE STREAM EVENT

Selected slides and teaching materials will be made available for registered participants!

The summer school on “AI-enabled mobility” introduces the participants to modern theories of machine learning and its applications in mobility. The program addresses topics of automated transportation, data analytics, computer vision, artificial neural network, speech recognition, within the legal and ethical framework.

Although artificial intelligence is not a new research field, it has been evolving at an accelerated pace in recent years and is already in influencing and changing our lives. Thus, a solid theoretical foundation is needed for the design of real-world applications. To obtain useful and trustable AI-solutions, the interaction between academia and industry must be promoted and intensified under the motto: “theory meets application” and “problem meets solution”.


  • Data-driven AI and Big-data Analytics
  • Reinforcement Learning and Bio-inspired AI
  • Computer Vision and Sensor Fusion
  • Interpretability and Verification
  • Robotics and Anomaly Detection
  • Beyond Technology: AI Ethics, Human-like AI, AI privacy, AI-mobility Law, Project Management, Industry

Keynote Speakers


Bruce W. Bateman

  • Bateman Research , QO+, Liteon, Yushan Ventures, M2M2me, Ultra Analytical Group, etc. Creator of 9 startups
  • Interests: Connected City technologist and designer, leader for Smart City planning and technologies.
Ching-Yao Chan

Dr. Ching-Yao Chan

  • Co-Director of Berkeley DeepDrive at University of California Berkely, and Program Manager of CALIFORNIA PATH
  • Interests: Autonomous Driving ML, Safety, Human Factors o-director
Ira Cohen

Ira Cohen

  • Co-founder and chief data scientist at Anodot
  • Interests: Time Series Forecasting, Anomaly Detection, Clustering, Temporal Feature Extraction
Daniel Cremers

Prof. Daniel Cremers

  • Institute of Informatics and Mathematics, professor at Technical University of Munich, Co-Founder and Chief Scientific Officer of Artisense Corporation
  • Interests: Computer Vision, Camera-based Reconstruction, SLAM, Sensor Fusion, DL, Autonomous Systems
Javier Ealo

DI Javier Ealo

  • Senior Manager of Strategy, Business Development, Solutions and Cross Selling Europe at Bosch
  • Interests: Expert in New Mobility

Dr. Eva Eggeling

  • Fraunhofer Austria Research GmbH (Business Area Visual Computing & Innovationszentrum Digitalisierung und Künstliche Intelligenz KI4LIFE)
  • Interests: Applied mathematics, combination of visual computing methods and artificial intelligence

Hon.Prof.(FH) Dr. Andreas EUSTACCHIO

  • Attorneys-at-Law
  • Interests: Automation, Digitalization & New Technologies: Safety, Security & Liability
  • Picture by Dimo Dimov

Dr. Thomas Gallien


Dr. Dieter P. Gruber

  • Head of Robot Vision and Artificial Intelligence, Polymer Competence Center Leoben (PCCL)
  • Interests: Robot Vision, Production Control, Data Science, AI

Dr. Matthias Haselmann


Dr. Isabella Hinterleitner


Prof. Axel Jantsch

Changliu Liu

Prof. Changliu Liu

  • Assistant professor in the Robotics Institute at the Carnegie Mellon University
  • Interests: Design and Verification of Intelligent Systems

Prof. Christian Mayr


Dr. Emilia Tantar

  • Chief Data and Artificial Intelligence Officer, Black Swan LUX
  • Interests: responsible AI, explainable AI, standardization in AI

Prof. Eduardo Veas

Pin Wang

Dr. Pin Wang

  • Researcher at California PATH, Institute of Transportation Studies, University of California Berkeley
  • Interests: decision-making and planning based on deep RL and adversarial learning

Dr. Andreas Windisch

  • Team Leader at Know-Center;  researcher at Physics department of Washington University in St. Louis, MO, USA
  • Interests: Deep reinforcement learning in research and industry, data science/machine learning, theoretical physics/quantum field theory.


Program Chairs

Jelena Rubesa-Zrim

Dr. Jelena Rubesa-Zrim

(General Chair)

  • Lead Researcher at Virtual Vehicle
  • Interests: optimization and control theory, model reduction, battery managment system, statistics and data analysis, machine learning
Anton Fuchs

Priv.-Doz. Dipl.-Ing. Dr.techn. Anton Fuchs

Session Chairs (VIRTUAL VEHICLE)


Elem Güzel Kalaycı


Bor Bricelj


Matthias Scharrer

Selim_photo (2)

Selim Solmaz


The summer school “AI-enabled mobility” is a live-stream event. Thus, participation is free of charge for everyone, but registration (see forms below) is required.

Option 1

Register as a SPEAKER

Option 2

Register as a LISTENER


The logo for the Summer School “AI-enabled mobility” (AIEM) was created by Anida Salaj.