Recipient Hector Gonzalez Diaz also Receives Design Automation Conference (DAC) Top Award in Video Report Competition
Khalifa University research engineer Hector Gonzalez Diaz was awarded the Richard Newton Young Fellow Award at the Design Automation Conference (DAC), which was held from 24-28 June 2018, in San Francisco, CA, USA.
The fellowship enabled Diaz to participate in the 55th DAC and the Design Automation Summer School at the conference. Diaz works with Khalifa University Professor of Electrical and Computer Engineering Dr. Ibrahim (Abe) M. Elfadel and Interim Director of the Center of Cyber Physical Systems (C2PS).
Dr. Elfadel put Diaz’s award into context, saying: “The A. Richard Newton Young Fellow Award is named after the late Prof. A. Richard Newton, who was one of the towering pioneers of the field of Electronic Design Automation. Hector’s achievement in winning such an award at DAC, the very top conference in this area worldwide, is truly gratifying as it is a clear indication of the quality of his research in the red-hot area of hardware acceleration of Artificial Intelligence workloads. To the best of my knowledge, this is the first such award for a researcher from a UAE university, and I hope it will be just the start. Congratulations, Hector!”
Diaz also won a top prize for a video he prepared on accelerated machine intelligence algorithms for visual recognition prepared was awarded the top prize – an Amazon Echo, a machine learning speech recognition device. Diaz’s creative video about one of the conference sessions was shown during the closing ceremony of the Richard Newton Program the Young Fellows at the conference.
Diaz also delivered a poster presentation at the conference, titled ‘Design and Implementation of a Scalable Neuromorphic Classifier for Emotion Detection using EEG Data’.
The Richard Newton Young Fellow Award was designed to expose many exciting facets of the design automation community through numerous activities, including the keynotes, special sessions, panels, research presentations, designer track presentations and the exhibits. The fellowship is intended to give young students their first experience with Electronic Design Automation. Students must be junior or senior undergraduate students, Master’s degree students, pre-candidacy PhD students or post-candidacy PhD students, and should be from underrepresented demographics and ideally from smaller research groups.