Keynote
Tuesday, December 02
08:30 AM - 08:55 AM
Live in Berlin
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Software-Defined Vehicles (SDVs) are redefining the automotive landscape, enabling continuous innovation through intelligent software. This presentation outlines how artificial intelligence enhances core autonomous functions—perception, decision-making, and control—within modular SDV architectures. It also highlights key considerations for real-time performance, edge-to-cloud integration, and compliance with safety standards like ISO 26262.
Join this session and learn more about:
In past as the Chief Architect at ZF Group, I lead the design and development of software solutions for autonomous mobility, leveraging my expertise in artificial intelligence, computer vision, reinforcement learning, and robotics. I have over a decade of experience in the automotive industry and mobile robotics, working on cutting-edge projects that enable level 4 autonomy for vehicles and robots.
I have a strong academic background and a passion for teaching and research. I hold a PhD in Artificial Intelligence from the Italian Institute of Technology, scientific research in robust AI at University of Oxford and in Autonomous Navigation from the Technion - Israel Institute of Technology, and a BTech in Mechanical Engineering from the Indian Institute of Technology, Delhi. I have also taught courses on AI and robotics at the Technion and the Baden-Wuerttemberg Cooperative State University. Additionally, I have co-founded and sold a startup that improved the algorithms for online advertising using machine learning.