“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”.
Sessions:
- 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
- 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.
- 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
- 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
- Senior Manager of Strategy, Business Development, Solutions and Cross Selling Europe at Bosch
- Interests: Expert in New Mobility
- 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
- Head of Robot Vision and Artificial Intelligence, Polymer Competence Center Leoben (PCCL)
- Interests: Robot Vision, Production Control, Data Science, AI
- RSA Research Studios Austria FG; Founder of Tech Meets Legal
- Interests: Autonomous Driving & Autonomous Scalable Systems, Social Media Algorithms and Legal Implications, AI and Deep RL
- Professor at Technical University of Wien, Institute of Computer Technology
- Interests: Self-aware Cyber-physical systems, Embedded Machine Learning, Systems on Chip
- Assistant professor in the Robotics Institute at the Carnegie Mellon University
- Interests: Design and Verification of Intelligent Systems
- Institute of Circuits and Systems at Technical University of Dresden
- Interests: Bio-Inspired AI, Neuromorphic Circuits
- Chief Data and Artificial Intelligence Officer, Black Swan LUX
- Interests: responsible AI, explainable AI, standardization in AI
- Professor at Technical University of Graz, Institute of Interactive Systems and Data Science
- Interests: Human-Machine Interaction, Bio-Signals, DL, Time-Series Analysis, Explainable AI and Telemetry data
- Researcher at California PATH, Institute of Transportation Studies, University of California Berkeley
- Interests: decision-making and planning based on deep RL and adversarial learning
- 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.
Organizers
Program Chairs
(General Chair)
- Lead Researcher at Virtual Vehicle
- Interests: optimization and control theory, model reduction, battery managment system, statistics and data analysis, machine learning
Univ.-Prof. Dipl.-Ing. Dr.techn. Horst Bischof
- Professor and head of Institute of computer graphics and vision, TU Graz
Univ.-Prof. Dipl.-Ing. Dr.techn. Daniel Watzenig
- Professor at Institute of Automation and Control and at Institute of Electrical Measurement and Sensor Systems, TU Graz
- Department leader at Virtual Vehicle, Electrice/Electronics & Software
Priv.-Doz. Dipl.-Ing. Dr.techn. Anton Fuchs
- Adj. Prof. at Institute of Electrical Measurement and Sensor Systems, TU Graz
- Department leader at Virtual Vehicle, NVH and Information Systems
Session Chairs (VIRTUAL VEHICLE)
Elem Güzel Kalaycı
Bor Bricelj
Matthias Scharrer
Selim Solmaz
Registration
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
Contact
- Mrs. Julia D’Orazio, MA
E-Mail: Julia.Dorazio@v2c2.at
Tel.: +43-316-873-9094
Fax.: +43-316-873-9072