KAUST Professor J. Carlos Santamarina and postdoctoral fellow Junghee Park received the 2019 Tarek Al-Kasabi Award for Excellence in Civil Engineering in Saudi Arabia. The award, administered by King Saud University, recognizes outstanding contributions to civil engineering within the Kingdom. Santamarina and Park were nominated by Dr. Abdullah Almajed from King Saud University and received a plaque, certificate, and a cash prize of SAR 100,000. Why it matters: Recognition of KAUST faculty highlights the university's contribution to civil engineering research and development in Saudi Arabia.
KAUST Ph.D. graduate Tariq Alturkestani won the best paper award at Euro-Par 2020 for his doctoral thesis on overlapping I/O and compute in large-scale scientific computation using multilayered buffering mechanisms. His work re-evaluates the Reverse Time Migration (RTM) method used by geoscientists for oil and gas explorations, utilizing emerging storage technologies. The paper was co-authored with Professor David Keyes and Dr. Hatem Ltaief from the KAUST Extreme Computing Research Center (ECRC). Why it matters: This award highlights KAUST's growing prominence as a hub for Saudi talent and research in supercomputing and extreme computing, particularly in applications relevant to the region's energy sector.
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.
KAUST Professor Hussain was awarded the Outstanding Young Texas Ex Award (OYTEX) by the University of Texas (UT). Hussain studied at UT from 2003-2005 and later founded KAUST's Integrated Nanotechnology Laboratory in 2009. His work includes 15 patents, 18 research awards, and recognition from Intel and Samsung. Why it matters: The award recognizes the impact of KAUST faculty and their contributions to nanotechnology research, highlighting KAUST's growing prominence in the field.
KAUST Ph.D. student Chiheb Ben Hammouda won the best poster award at the Society for Industrial and Applied Mathematics Conference on Financial Mathematics & Engineering (FM19) for his work on option pricing under the rough Bergomi model. The winning poster, titled "Hierarchical adaptive sparse grids and quasi-Monte Carlo for option pricing under the rough Bergomi model," details research carried out under the supervision of KAUST Professor Raul Tempone. The research group designed new efficient numerical methods for pricing derivatives under the rough Bergomi model by combining smoothing techniques. Why it matters: This award highlights KAUST's growing expertise in financial mathematics and its contribution to solving complex problems in the field using advanced numerical methods.
KAUST Ph.D. student Mohammed Aljahdali received the Best Paper award at the International Conference on Federated Learning Technologies and Applications (FLTA) 2025 for his research on federated learning. His paper, "Flashback: Understanding and Mitigating Forgetting in Federated Learning," introduces an algorithm to help AI systems retain knowledge across diverse datasets while preserving privacy. Aljahdali's research, supervised by Professor Marco Canini, focuses on training machine learning models directly on user devices. Why it matters: This award recognizes the growing talent and impactful research emerging from Saudi universities in the field of privacy-preserving AI.
Professor Mérouane Debbah, Chief Researcher at AIDRC, and his co-authors received the 2022 IEEE TAOS TC Best GCSN Paper Award for their work on federated quantized neural networks. The paper, presented at IEEE ICC 2022, explores the tradeoff between energy, precision, and accuracy in these networks. The research proposes an optimal quantization level to minimize energy consumption during training, making it less prohibitive for mobile devices. Why it matters: The award recognizes work that reduces the carbon footprint of large-scale AI systems, a key challenge for sustainable AI deployment in the region and globally.
KAUST professor Niveen Khashab was named the first Great Arab Mind in natural sciences. The Great Arab Minds award was conceived by Sheikh Mohammed Bin Rashid al Maktoum to recognize Arabs for achievements in science, architecture, engineering, economics, literature, and medicine. Khashab, an organic chemist, was selected for contributions to nanomaterials development, synthesis, and application in medicine, industry, and agriculture. Why it matters: The award highlights KAUST's role in fostering scientific talent and contributing to advancements in nanotechnology and related fields within the Arab world.