The rapid development of advanced driver assistance systems (ADAS), connectivity, and autonomous driving is transforming vehicles into software-defined systems. As E/E architectures evolve toward centralized and zonal computing, the integration of hardware and software becomes increasingly complex, while adherence to the ISO 26262 functional safety standard remains essential for ensuring system reliability.

Dorsa Mohammad Zaheri presents a unified mixed-integer programming (MIP) framework for automated E/E architecture design. The methodology jointly optimizes task-to-hardware allocation, ASIL decomposition, message routing, and scheduling under ISO 26262 functional safety constraints. It supports multiple ISO 26262 design strategies and enables efficient tradeoff analysis among cost, performance, latency, and safety, delivering optimized solutions for mixed-criticality automotive systems.

Dorsa Mohammad Zaheri received the B.Sc. and M.Sc. degrees in Electrical Engineering from Shahid Rajaee University, Tehran, Iran, in 2014 and 2017, respectively. She conducted her doctoral research in Electrical Engineering at the University of Stuttgart, Germany. Her research focuses on the design and optimization of automotive electrical/electronic (E/E) architectures, with particular emphasis on functional safety, autonomous driving systems, model-based systems engineering, and AI-driven engineering methodologies.