Event Details
February 27, 2026
Join Zoom Webinar
Passcode: 862998
Host: Steve Crago
POC: Amy Kasmir
The semiconductor industry faces growing design complexity and tighter market windows as it delivers high-performance chips for AI, data centers, and autonomous vehicles. Meeting stringent performance, area, power, and cost requirements introduces new productivity and integration challenges across the design flow. This presentation highlights how Synopsys is leveraging AI and GenAI technologies throughout the EDA stack to accelerate chip design, enabling earlier detection of issues and improved optimization. We will discuss how AI-powered EDA enables engineering teams to innovate faster, streamline integration, and achieve superior results for complex chip designs.
Speaker Bio
Anand Thiruvengadam is a senior director of product management and head of AI product management at Synopsys. In this role, he is responsible for leading the integrated AI solutions/product strategy across UI, Apps, and Infrastructure. Prior to this, Anand held dual leadership roles as head of the circuit simulation line of business and head of the memory market segment at Synopsys. His experience spans high-tech product strategy, marketing, management, business development, and engineering. Before Synopsys, he was a management consultant at PwC, focusing on strategic and operational transformations. He also held engineering leadership roles at AMD and other leading semiconductor companies.
This program is open to
all eligible individuals. Information Sciences Institute operates all of its programs and
activities consistent with the University’s Notice of Non-Discrimination. Eligibility is not
determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor.