GATE lab is committed to practicing inclusion, cultivating diversity, and rejecting discrimination in any form. GATE lab is eager to recruit new members of all races, ethnicities, religions, sexual orientations, and skin colors. The entire UC Davis community shares these sentiments.
GATE lab Study various aspects of Hardware Security
Gate lab engages in the study of efficient learning models, learning model security, and implementation of Neuromorphic Hardware
Hardware is the root of trust! Secrets are stored in hardware! Hardware also embeds valuable intellectual property. Hardware security is the science of building trust, protecting secrets, and protecting intellectual property.
Neuromorphic HW Design
Neuromorphic HW design is the science of architecting HW solutions for efficient execution of learning models to widen the application of learning models in low-power mobile, embedded, & edge IoT devices.
The Internet of Things is the enabler of pervasive computing and ambient intelligence. The IoT research topics investigated in the GATE lab include low energy computing, IoT security, and user privacy.
Dr. Avesta Sasan manages the Green, Accelerated, and Trustworthy Engineering (GATE) laboratory. Research of this laboratory spans hardware security, Neuromorphic hardware design, applied-learning for digital and VLSI design, and low power, trusted, and privacy-preserving IoT Solutions.
Dr. Sasan joined the University of California, Davis, in 2021. He is currently an Associate Professor in the Department of Electrical and Computer Engineering. Dr. Sasan's research spans hardware security, machine learning, neuromorphic computing, low-power design, approximate computing, and the Internet of Things (IoT).