Amazon, Baidu, Microsoft, and other cloud providers now allow one to rent FPGAs and use them to implement powerful and efficient custom architectures for machine learning, video transcoding, encryption, networking, and other high throughput computations. Those FPGAs are large, and … Continue reading
Kastner Research Group alum Dr. Jason Oberg was given the DAC Under-40 Innovators Award. The award recognizes the top young innovators who have made a significant impact in the field of electronics design and automation. Jason is a leader in … Continue reading
Our group presented two papers related to hardware security at the International Conference on Computer-Aided Design (ICCAD). ICCAD is a top-tier conference in electronic design automation. There is an increasing emphasis on hardware security at ICCAD (and most other hardware … Continue reading
Dr. Alireza Khodamoradi successfully defended his PhD thesis “Reshaping Deep Neural Networks for Efficient Hardware Inference”. Ali’s PhD has been unconventional in many ways — starting from his admission into UCSD, his unrelenting desire to get a PhD, and his … Continue reading
Congratulations to Jeremy Blackstone for successfully defending his PhD thesis! Jeremy’s PhD research focused on mitigating hardware side channels – a powerful class of security vulnerabilities that exploits the side effects of physically performing a computation. Jeremy’s research focused on … Continue reading
As part of an invited session “CAD for Hardware Security” at the IEEE VLSI Test Symposium (VTS), I teamed up with some giants in the hardware security space (Intel, University of Florida, and Tortuga Logic) to discuss the need for … Continue reading
Our scientific collaborators at the San Diego Zoo Wildlife Alliance have a long running research program studying the behaviors of endangered iguanas in the Caribbean. As part of their efforts to understand these animals, they attach tiny radios to the … Continue reading
Spiking Neural Networks (SNNs) utilize an event-based representation to perform more efficient computation than existing artificial neural networks. SNNs show a lot of promise for low energy computation, but are still limited by the lack of quality training tools and … Continue reading
An extremely belated but enthusiastic welcome Olivia Weng and Jennifer Switzer — two PhD students that joined our group in Fall 2020. Olivia Weng joins us from the University of Chicago where she got her BS in Computer Science. As … Continue reading
December 2020 involved a couple of major events related to our hardware security research — a HOST Tutorial and a CASA Distinguished Lecture. Ryan and Dr. Nicole Fern from Tortuga Logic gave a tutorial at IEEE International Symposium on Hardware … Continue reading