Rinat Asmus
Vice President - Software Defined Vehicle
15 years of experience in:
• Leading the Change in Innovation and Strategy with a focus on Embedded Software and Systems.
• Expanding Business/ Product Development with a tech-centric approach, fostering partnerships and standardization.
• Enhancing Operation within Embedded Software and Systems Engineering, ensuring peak team performance and product excellence.
04/2024 - present
Tata Technologies (Rockridge, CA)
Vice President Software Defined Vehicle
08/2023 – 02/2024
AEVA (Mountain View, CA)
Director of Product, Embedded Systems and Software
01/2023 – 06/2023
Vector North America (San Mateo, CA)
Director Embedded Systems
01/2008 - 12/2022
BMW Group (Munich, Germany) .
Director Embedded Systems
Presentation
Safe Machine Learning in Automotive
Synopsis: Safe Machine Learning in Automotive — The Role of Trained Supervision in AD and ADAS
As the automotive industry transitions toward increasingly autonomous capabilities, machine learning (ML) is becoming foundational in enabling perception, decision-making, and control functions across ADAS and Automated Driving (AD) systems. However, the inherent uncertainty and non-determinism of ML models present unique safety challenges—particularly in environments where traditional rule-based validation is insufficient.
To address this, the concept of trained supervision is emerging as a critical layer in the development and deployment of safe ML-powered systems.
