Former KAUST President Professor Choon Fong Shih was presented with the Graduate School of Arts and Sciences (GSAS) Centennial Medal by Harvard University in May. Shih received his Ph.D. in applied mathematics from Harvard in 1973 and was recognized for his contributions to knowledge and society. He served as the founding president of KAUST from 2008 and previously held positions at the National University of Singapore and GE Corporate Research Lab. Why it matters: The award recognizes the impact of a key figure in KAUST's early development and highlights the university's connection to globally recognized researchers and institutions.
Qirong Ho, co-founder and CTO of Petuum Inc., will be contributing to the "ML Systems for Many" initiative. Petuum is recognized for creating standardized building blocks for AI assembly. Ho also holds a Ph.D. from Carnegie Mellon University and is part of the CASL open-source consortium. Why it matters: Showcases the ongoing efforts to democratize AI development and deployment, making it more accessible and sustainable, although the specific initiative is not further detailed.
Pong C Yuen from Hong Kong Baptist University will present a talk on remote photoplethysmography (rPPG) detection. The talk will review the development of rPPG detection, share recent research, and discuss future directions. rPPG is a technology for non-contact computer vision and healthcare applications like heart rate estimation. Why it matters: Advancements in rPPG could enable new remote patient monitoring and diagnostic tools in the region, reducing the need for physical contact.
KAUST Professor of Electrical Engineering, Boon Ooi, has been elected as a Fellow of the Optical Society of America (OSA). Ooi is a professor in the Computer, Electrical and Mathematical Sciences and Engineering Division at KAUST. The fellowship recognizes his contributions to the field of optical engineering. Why it matters: This recognition highlights KAUST's growing prominence in optics and photonics research and boosts its reputation as a leading STEM institution in the Middle East.
Prof. Chun Jason Xue from the City University of Hong Kong presented research on optimizing mobile memory and storage by analyzing mobile application characteristics, noting their differences from server applications. The research explores system software designs inherited from the Linux kernel and identifies optimization opportunities in mobile memory and storage management. Xue's work aims to enhance user experience on mobile devices through mobile application characterization, focusing on non-volatile and flash memories. Why it matters: Optimizing mobile systems based on the unique characteristics of mobile applications can significantly improve device performance and user experience in the region.
KAUST Professor of Electrical Engineering Boon S. Ooi has been elected as a Fellow of the U.S. National Academy of Inventors (NAI). This honor recognizes Ooi's contributions to semiconductor photonics, optical sensors, and particularly his work on fiber sensors for oil & gas and agriculture. Ooi's inventions are relevant to communications, health, energy and agriculture. Why it matters: This recognition highlights KAUST's and the region's increasing contributions to impactful research and innovation in areas like optical sensing and semiconductor photonics.
KAUST Discovery Ph.D. student Chun-Ho Lin received the best paper award at the 2nd International Symposium on Devices and Application of Two-dimensional Materials in June 2016. The award recognizes Lin's contributions to the field of two-dimensional materials. Why it matters: Recognition of KAUST student research highlights the university's contributions to advanced materials science.
KAUST Ph.D. student Jinhui Xiong won the best paper award at the 24th International Symposium on Vision, Modeling, and Visualization in Germany for his paper "Stochastic Convolutional Sparse Coding". The paper, co-authored with KAUST Professors Peter Richtárik and Wolfgang Heidrich, introduces a novel stochastic spatial-domain solver for Convolutional Sparse Coding (CSC). The proposed algorithm outperforms state-of-the-art solutions in terms of execution time and offers an improved representation for learning dictionaries from sample images. Why it matters: This award recognizes significant research in efficient image representation and dictionary learning, contributing to advancements in visual computing and AI at KAUST.