Efficient Computing Systems Laboratory (ECS Lab)

The Efficient Computing Systems Laboratory (ECS Lab) is a research group focused on building energy- and resource-efficient computing systems, spanning algorithms, software, and architecture. Our goal is to co-design hardware and software to enable practical AI and data-driven applications under tight constraints (compute, memory, energy, and latency), from the edge to larger-scale platforms. At the ECS Lab, I am honored to work with extremely talented and motivated students who are integral to the success of the lab research. I deeply value their growth, and it is a core part of our lab culture to support and celebrate their progress, learning, and development as young researchers.

Research directions we work on at ECS

• HW–SW co-design and optimization for Edge AI
• Autonomous, distributed, and efficient learning for space applications
• Embedded ML optimization for ultra-low power systems
• Distributed learning in constrained and decentralized settings
• Processing-in-memory and acceleration on emerging memory technologies
• Efficient vector search and large-scale data systems
• Ensemble learning for accurate and robust AI
• Lifelong learning in connected IoT systems
• Energy-efficient optimizations of large-scale vector databases
• Processing-in-memory acceleration

ECS Team

Director

Ph.D. Students

Graduate Students

Undergraduate Students

High School Students

Join the lab

If you are interested in joining the ECS Lab, please email me at fponzina@sdsu.edu with a brief description of your background and research interests, and include your CV and academic transcript. I welcome motivated undergraduate and graduate students eager to learn and contribute to cutting-edge research projects!