Matt’s RIFFA paper was the winner of the Community Award. This award is for authors who have made a significant contribution to the community by providing some material or knowledge in an open format that benefits the rest of the community.
Our second paper “A Hardware Accelerated Approach for Imaging Flow Cytometry” by Dajung, Pingfan, Matt and UCLA collaborators Dino Di Carlo and Henry Tse got some media attention [1, 2, 3, 4, 5, 6, 7].
Our final paper was “A FPGA Design for High Speed Feature Extraction from a Compressed Measurement Stream” by lead author Dustin and our collaborators John McGarry and Ali Irturk at Cognex provides a hardware accelerated technique for laser line scanning running at over 14,000 frames/sec.
Congrats to all of the authors!