SystemX 2026 Spring Workshop: Power Optimization: from Large System and Power Grid to Device-Level Efficiency and Advanced Materials
Event Details:
Location
Li Ka Shing Center | Stanford University
United States
This event is open to:
**Video recordings linked below**
Stanford SystemX hosted its annual Spring Workshop on May 21 at Stanford University. This year’s workshop focused on the theme “Power Optimization: from Large System and Power Grid to Device-Level Efficiency and Advanced Materials.”
The program brought together Stanford faculty, students, and the SystemX ecosystem to explore power and energy challenges across the full technology stack—from system to device-level efficiency, advanced materials, and enabling technologies.
Keynote Speakers:
Sam Naffziger
AMD Senior Vice President, Corporate Fellow and Product Architect
Jim Taylor
Siemens Vice President Energy Solutions, Head AI Factory Lab
Shawn Smith
Lambda.ai Vice President Energy Infrastructure & Grid Development
Stanford faculty:
Professor Juan Rivas-Davila
Head Stanford University Power Electronics Research Lab (SUPER-lab)
Professor Srabanti Chowdhury
Wide bandgap materials & devices for RF, Power and energy efficient electronics
Professor Priyanka Raina
High performance and energy-efficient architectures
Stanford researchers: Devices and Materials
Samuel Dayo
Shuhan Liu
Tara Peña
Dennis Rich
Agenda
| Time | Presentation | Speaker | Presentation Files (login required) |
|---|---|---|---|
| 9:15-9:30 AM | SystemX Welcome | Ivo Bolsens, SystemX Executive Director | |
| 9:30-10:15 AM | AI driven datacenters | Jim Taylor, VP Siemens, AI Factory Lab | |
| 10:15-11:00 AM | Power Electronics Research | Juan Rivas-Davila, Professor (EE), Stanford | |
| 11:00-11:15 AM | Break | ||
| 11:15 AM - 12:00 PM | Wide bandgap materials & devices for RF, Power and energy efficient electronics | Srabanti Chowdhury, Professor (EE), Stanford | |
| 12:00-1:00 PM | Lunch | ||
| 1:00-1:45 PM | Semiconductor Power Optimization Challenges | Sam Naffziger, SVP AMD, Senior Fellow- Chief Architect | |
| 1:45-2:30 PM | Power Optimization for next generation AI accelerators | Priyanka Raina, Professor (EE/CS), Stanford | |
| 2:30-2:45 PM | Break | ||
| 2:45-3:45 PM | Towards Energy Efficient Nanoribbon Transistors with 2D Semiconductors | Tara Peña, Stanford researcher | |
| Gain-cell memories for low power AI accelerator | Shuhan Liu, Stanford researcher | ||
| 21st‑century Energy Efficient NanoSystems through new computation‑immersed‑in‑memory architectures | Dennis Rich & Sam Dayo, Stanford researchers | ||
| 3:45-4:30 PM | Power Capacity in the Age of AI: Challenges, Solutions, and a Path Forward | Shawn Smith, Vice President, Lambda.ai | |
| 4:30 PM | Networking | ||
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