GATE Lab

Green, Accelerated, and Trustworthy Engineering at UC Davis. We develop secure and energy-efficient computing across ML systems, hardware for ML, and trustworthy IoT.

Diversity Statement

GATE lab practices inclusion, cultivates diversity, and rejects discrimination in any form. We welcome members of all backgrounds.

Welcome to GATE Lab Webpage!

Avesta Sasan

Avesta Sasan

Professor · ECE · UC Davis
GATE Lab Director

Research Overview

Key themes of the lab — see the Research page for full descriptions.

Energy Efficient Learning
Energy Efficient Learning

Lower-energy training and learning methods with strong accuracy.

Hardware for ML
Hardware for ML

Architectures and HW/SW co-design for efficient ML acceleration.

Hardware Security
Hardware Security

Trust, IP protection, and defenses against hardware threats.

IoT Security and Privacy
ML for Hardware Design

Use of Machine Learning for designa and optimization of Hardware.

GATE Lab Links

Navigate directly to lab pages. 150+ Publications · $6M+ Funding

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