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Panel Discussion: Scaling up using Zonal Architectures for Next-Gen Vehicles

Event: AutoSens USA
| Session date: Thursday 12th June
Session date: Thursday 12th June
, 2025

Hear from:

Junko Yoshida
Junko Yoshida

Moderator

Junko Yoshida
Editor in Chief,

Junko’s Tech Probe

Sreenivasa Reddy
Sreenivasa Reddy
Sreenivasa Reddy Berahalli
Director, Software Engineering ,

Magna

Sneha Shetiya
Sneha Shetiya
Sneha Shetiya
Staff Software Engineer ,

Torc

Daniel Shwartzberg
Daniel Shwartzberg
Daniel Shwartzberg
Director of System Solutions,

Valens Semiconductor

Shashank Dabral
Shashank Dabral
Shashank Dabral
Director Product Management, Autonomy,

Qualcomm

Sreenivasa Reddy
Sreenivasa Reddy
Sreenivasa Reddy Berahalli
Director, Software Engineering ,

Magna

Sneha Shetiya
Sneha Shetiya
Sneha Shetiya
Staff Software Engineer ,

Torc

Daniel Shwartzberg
Daniel Shwartzberg
Daniel Shwartzberg
Director of System Solutions,

Valens Semiconductor

Shashank Dabral
Shashank Dabral
Shashank Dabral
Director Product Management, Autonomy,

Qualcomm

As the automotive industry evolves towards next-generation vehicles, zonal architectures are emerging as a key solution for scaling up and optimizing vehicle systems. This panel will explore how zonal architectures can streamline vehicle design, enabling more efficient communication between components. Experts will discuss the advantages of this approach, including reduced complexity, improved scalability, and better integration of electrification, automation, and connectivity features.
This conversation will also address the technical challenges and industry considerations in transitioning to zonal architectures, such as the impact on existing manufacturing processes and the role of software-defined systems. How can automakers ensure that zonal architectures are adaptable and future-proof? What are the implications for cybersecurity, data flow, and vehicle performance? This session will provide an in-depth look at how zonal architectures are paving the way for the next generation of connected and autonomous vehicles.

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