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.
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.
MBZUAI Professor Chih-Jen Lin gave a keynote at the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval in Taipei. Lin's address, titled ‘On the “Rough Use” of Machine Learning Techniques’, focused on instances where machine learning techniques are employed inappropriately, using examples from graph representation learning and deep neural networks. He advocated for the development of high-quality, user-friendly software to improve the practical application of machine learning and mitigate misuse. Why it matters: Showcases MBZUAI's faculty expertise and contributions to the discussion on responsible AI research and deployment on a global stage.
KAUST Professor Boon S. Ooi has been named an IEEE Fellow for his contributions to broadband light emitters and visible light communications. Ooi's work in semiconductor photonics has led to the establishment of successful startups. He is among the first to propose energy-efficient lighting and ultra-high-speed visible light communication using semiconductor lasers. Why it matters: Recognition of KAUST faculty demonstrates the institution's growing prominence in advanced technology research and its impact on global innovation.
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.
KAUST Ph.D. student Raid AlRowais won the best paper award at the 11th International Meeting on Advances in ThermoFluids in Japan. The conference took place at Kyushu University. AlRowais received the award from Professor Takahiko Miyazaki. Why it matters: This award recognizes promising research and talent at KAUST in thermal and fluid sciences.
KAUST Professor Peter Richtárik received a Distinguished Speaker Award at the Sixth International Conference on Continuous Optimization (ICCOPT 2019) in Berlin. Richtárik's lecture series, totaling six hours, focused on stochastic gradient descent (SGD) methods, drawing from recent research by his KAUST group. He highlighted key principles and new variants of SGD, the key method for training modern machine learning models. Why it matters: This award recognizes KAUST's contribution to fundamental machine learning optimization, which is critical for advancing AI in the region.
A new benchmark, LongShOTBench, is introduced for evaluating multimodal reasoning and tool use in long videos, featuring open-ended questions and diagnostic rubrics. The benchmark addresses the limitations of existing datasets by combining temporal length and multimodal richness, using human-validated samples. LongShOTAgent, an agentic system, is also presented for analyzing long videos, with both the benchmark and agent demonstrating the challenges faced by state-of-the-art MLLMs.