Case Study
Monday, December 02
09:45 AM - 10:15 AM
Live in San Francisco
Less Details
The automotive industry is rapidly evolving towards SDVs; the integration of artificial intelligence brings both transformative potential and significant challenges. The landscape of verification and validation for AI systems within SDVs is complex, exploring the unique obstacles that arise from their dynamic nature and reliance on real-time data is key.
In this presentation, you will get insights into:
Vahid Hashemi holds a Ph.D. (Dr.-Ing.) in Computer Science from the Max Planck Institute for Informatics and Saarland University with a focus on formal verification and optimal control of stochastic systems. Since April 2018, he is working for AUDI AG as a technical project manager and is responsible for developing advanced methods and tools for safety verification and validation of learning-enabled autonomous driving systems.