B | LiDAR Technologies Track | Case Study
Monday, December 08
10:50 AM - 11:15 AM
Live in Dearborn, Michigan
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As autonomous driving and advanced driver-assistance systems demand unprecedented computing power, traditional monolithic chip designs face limitations in scalability, cost, and reliability. Chiplet-based architectures offer a modular approach, enabling tailored, high-performance platforms that meet automotive safety and efficiency requirements. This presentation explores how chiplets support heterogeneous integration, improve supply chain resilience, and enable OEM differentiation. We will discuss design considerations, interoperability standards, and validation strategies critical for automotive-grade implementations. Attendees will gain insights into how chiplet technology can accelerate innovation while maintaining compliance with stringent automotive requirements.
In this session, you will learn:
Experienced Vice President Of Product Development with a demonstrated history of bringing new technologies to market. Extensive background managing multi-disciplinary technical teams. Strong product management professional with a Doctor of Philosophy (PhD) focused in Materials Science from Massachusetts Institute of Technology.