KAUST President Tony Chan received an honorary degree from the University of Waterloo in recognition of his contributions to society. Chan has strong ties to the University through the HKUST-UW research program which funded collaborative research projects. Chan is a globally recognized mathematician and leader in computational models for image processing. Why it matters: Recognition of KAUST's leadership on the global stage helps promote its research and educational initiatives in the region.
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.
Insyab, a startup specializing in collaborative robotics and drone solutions, was founded by KAUST alumnus Dr. Ahmed Bader and KAUST Professor Mohamed-Slim Alouini. Their flagship product, AirFabric™, is a broadband ultra-low-latency wireless connectivity solution enabling teams of unmanned vehicles to collaborate effectively. The technology allows robots to interact in real time and share learning, unlocking a "1+1=3" value proposition. Why it matters: This highlights KAUST's role in fostering deep-tech entrepreneurship and developing innovative solutions for industrial automation in the region.
A PhD candidate from the University of Waterloo presented on threats from large machine learning systems at MBZUAI. The talk covered data privacy during inference and the misuse of ML systems to generate deepfakes. The speaker also analyzed differential privacy and watermarking as potential solutions. Why it matters: Understanding and mitigating the risks of large ML systems is crucial for responsible AI development and deployment in the region.
Two KAUST students, Praise O. Eromosele and Fabiyan Angikath Shamsudheen, participated in the Falling Walls Science Summit in Berlin. They were selected among 75 students to pitch their ideas, focusing on wastewater treatment and sustainable hydrogen production from waste, respectively. Praise Eromosele's research explores using sawdust to remove heavy metal ions from industrial wastewater, inspired by pollution issues in Nigeria. Why it matters: This participation highlights KAUST's commitment to addressing global challenges through innovative research and provides a platform for its students to gain international exposure and recognition.
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.
KAUST Associate Professor Peiying Hong delivered a lecture on using wastewater testing to detect outbreaks earlier. The lecture explains how wastewater testing could lead to faster detection and more effective response to future pandemics. The research was presented at King Abdullah University of Science and Technology. Why it matters: Wastewater epidemiology can provide early warnings for emerging pathogens and improve public health preparedness in the region.
Matthew McCabe, director of the KAUST Climate and Livability Initiative (CLI), and his team have been awarded the 2022 Prince Sultan Bin Abdulaziz International Prize for Water in the Water Management and Protection category. The award recognizes their innovative use of satellites for water accounting and management, harmonizing data from CubeSat satellite platforms. They produced the highest resolution estimates of water usage ever retrieved from space, using data from Planet's constellation of small satellites. Why it matters: This award highlights the growing role of remote sensing technologies and KAUST's leadership in addressing critical climate and sustainability issues in water resource management within Saudi Arabia and globally.