Accelerate Analog Design with Flexible, AI-Native Workflows
See how ChipAgents’ IC-star chip neural engine automates analog design, simulation, and verification in one unified, flexible agentic loop.
What you'll learn
Traditional analog design workflows demand manual setup, simulation reruns, and time-consuming debug processes. Through three production workflows, we’ll show how IC-star combines physics-aware models, agent orchestration, and engineering feedback to accelerate design convergence.
What’s changing in analog design
The trends changing analog design today, and the challenges agentic workflows have to solve.
From intent to verified results
How ChipAgents automates analog workflows from intent to verified results.
Three production workflows
Efficiency and quality improvements from three production workflows.
Behavioral models in one loop
How to generate and verify behavioral models in one agentic loop.
Who it's for
Built for teams who want faster analog design convergence with agentic AI.
Analog & mixed-signal design engineers
See how agentic AI takes on setup, simulation reruns, and debug in your analog flow.
Verification & modeling engineers
Learn how behavioral models are generated and verified in one agentic loop.
CAD & methodology experts
Explore how agent orchestration fits into your existing tools and flows.
Engineering managers & R&D leaders
Evaluate the efficiency and quality gains from production analog workflows.
Speakers
Questions
Can’t attend live?
No problem! All registrants will receive a link to watch the presentation on-demand after the live event.
Where is it held?
Online. The webinar is hosted by EE Times, and you register on the EE Times webinar page.
How long is it?
About an hour, starting at 10:00 AM PST / 1:00 PM EST / 19:00 CET on Tuesday, December 1.
Solaiman Rahim
Chief Product Officer, ChipAgents
Solaiman is a multidisciplinary technology executive with over 25 years of experience driving innovation in the chip automation space at the intersection of systems, semiconductors, high-performance computing, and AI.
As Chief Product Officer at ChipAgents, he leads the scaling of the Agentic and Native AI platform in close collaboration with customers. He was previously Vice President of R&D at Synopsys, where he led and scaled the Signoff, ECO, and Power platform, working closely with customers like Nvidia, Broadcom, Apple, and Google to help them design the world's most advanced chips while improving their time to market, PPA, and productivity. Prior to Synopsys, Solaiman held senior management roles at Atrenta, where he led the Spyglass constraint and power products, scaling them to 100+ customers. He started his career as a formal verification engineer at Synplicity.
He has a proven track record of scaling complex platforms, driving end-to-end execution from incubation to global deployment, and transforming flagship platforms into high-performance, AI-driven solutions. His leadership spans strategy, execution, and go-to-market.
He holds an MS in Computer Science and Electrical Engineering and a PhD in Formal Verification, and holds more than 20 patents across AI, formal, synthesis, emulation, power, timing, and ECO. He is focused on building the next generation of intelligent AI platforms that will define the future of system and semiconductor design.
Token Zhang
Postdoc Researcher, ETH Zürich
Token Zhang is a postdoctoral researcher at ETH Zurich. He received his B.E. and Ph.D. degrees in Electronic Engineering from Tsinghua University in 2021 and 2026, respectively, and was previously a MiniMax 10x Fellowship researcher. He is the author of the open-source projects virtuoso-bridge-lite and analog-canvas, as well as the analog circuit benchmarks Analog Design Bench and Razavi Bench.
Libby Hu
Design Verification Engineer, ChipAgents
Libby Hu is a Design Verification Engineer at ChipAgents, focusing on AI-driven workflows for analog circuit design and verification. Previously, she was an ASIC Design Verification Engineer at Qualcomm. Libby holds an M.S. in Electrical Engineering from the University of Pennsylvania.