Suraj Chakravarthi Raja
Application Engineer,
MathWorks, Inc.
About the Speaker
Suraj Chakravarthi Raja is an Application Engineer working in the areas of signal processing, controls, embedded AI, and HDL code generation at MathWorks. With a PhD in Electrical Engineering from the University of Southern California, Suraj has a decade of experience in hardware-software codesign of low-latency embedded accelerator pipelines for humanoid robotics applications. His prior work was funded by DARPA, NIH, NSF, and DoD. He also has master’s degrees from USC in Electrical Engineering and Computer Engineering.
From Algorithm to Verified Silicon: Accelerating Semiconductor Design with Model-Based Design, Shift-Left Verification, and AI
Overview
As semiconductor devices grow in complexity, engineering teams face increasing pressure to meet ambitious performance, power, schedule, and quality objectives. This presentation explores how Model-Based Design and shift-left verification methodologies help teams identify and resolve issues earlier in the development process. Attendees will learn how Model-Based Design supports workflows spanning algorithm development, architectural exploration, HDL generation, high-level synthesis (HLS), and verification. The session also examines the emerging role of agentic AI and highlights real-life case studies demonstrating improved productivity, design quality, and time to silicon.
Key Points
- Model-Based Design and shift-left verification resolve issues earlier
- Agent-accelerated workflows support the full path from algorithm development and architecture exploration to implementation and verification.
- Improved collaboration and model reuse across EDA flows naturally enable continuous verification.
