KAUST alumnus Dr. Hesham Omran won the UNESCO-Al Fozan International Prize for achievements in STEM. Omran was recognized for his Analog Designer’s Toolbox (ADT) and his Mastering Microelectronics YouTube channel, which has over 1.2 million views. Omran aims to boost microelectronics innovation in the Arab world. Why it matters: The award highlights the impact of KAUST graduates on STEM fields in the region and recognizes contributions to education and innovation in microelectronics.
Dr. Zhiqiang Lin from Ohio State University presented the Security-Enhanced Radio Access Network (SE-RAN) project to address cellular network threats using O-RAN. The project includes 5G-Spector, a framework for detecting L3 protocol exploits via MobiFlow and MobieXpert, and 5G-XSec, a framework leveraging deep learning and LLMs for threat analysis at the network edge. Dr. Lin also outlined a vision for AI convergence with cellular security for enhanced threat detection. Why it matters: Enhancing 5G security through AI and open architectures is critical for protecting next-generation mobile networks in the GCC region and globally.
MBZUAI NLP master's graduate Hasan Iqbal developed OpenFactCheck, a framework for fact-checking and evaluating the factual accuracy of large language models. The framework consists of three modules: ResponseEvaluator, LLMEvaluator, and CheckerEvaluator. OpenFactCheck was published at EMNLP 2024 and accepted at NAACL 2025 and COLING 2025, with Iqbal playing an active role at COLING in Abu Dhabi. Why it matters: The development of automated fact-checking frameworks is crucial for ensuring the reliability and trustworthiness of information generated by increasingly prevalent LLMs, especially in the Arabic-speaking world.
Michael Hickner, an Associate Professor from Penn State University, visited KAUST as part of the CRDF-KAUST-OSR Visiting Scholar Fellowship Program. Hickner specializes in Materials Science and Engineering, Chemistry, and Chemical Engineering. The visit was documented with photos by Meres J. Weche. Why it matters: Such programs foster international collaboration and knowledge exchange in science and engineering between KAUST and other leading institutions.
Hamad Bin Khalifa University (HBKU) has released Fanar 2.0, the second generation of Qatar's Arabic-centric Generative AI platform, built entirely at QCRI. The core of Fanar 2.0 is Fanar-27B, which was continually pre-trained from a Gemma-3-27B backbone using 120 billion high-quality tokens and only 256 NVIDIA H100 GPUs. Fanar 2.0 includes capabilities like FanarGuard, Aura, Oryx, Fanar-Sadiq, Fanar-Diwan, and FanarShaheen for moderation, speech recognition, vision understanding, Islamic content, poetry generation, and translation. Why it matters: This shows that sovereign, resource-constrained AI development in the Arabic language is possible, producing competitive systems in the region.
MBZUAI alumnus Abdelrahman Shaker discusses his evolving perspective on impactful AI research, shifting from publication counts to real-world usefulness. He highlights the success of his SwiftFormer and EdgeNext papers, which have been adopted by third parties and reached millions of users. Shaker chose MBZUAI for its faculty expertise, which led to 10 publications and over 2,500 citations during his Ph.D.
The authors introduce Nile-Chat, a collection of LLMs (4B, 3x4B-A6B, and 12B) specifically for the Egyptian dialect, capable of understanding and generating text in both Arabic and Latin scripts. A novel language adaptation approach using the Branch-Train-MiX strategy is used to merge script-specialized experts into a single MoE model. Nile-Chat models outperform multilingual and Arabic LLMs like LLaMa, Jais, and ALLaM on newly introduced Egyptian benchmarks, with the 12B model achieving a 14.4% performance gain over Qwen2.5-14B-Instruct on Latin-script benchmarks; all resources are publicly available. Why it matters: This work addresses the overlooked aspect of adapting LLMs to dual-script languages, providing a methodology for creating more inclusive and representative language models in the Arabic-speaking world.
Three KAUST scientists—Hamed Albalawi, Hend Mohamed, and Walaa Khushaim—have been named MIT Technology Review Innovators Under 35 MENA. Albalawi developed a calcium carbonate ink for 3D-bioprinting coral restoration scaffolds, while Mohamed created catalysts for sustainable aviation fuel production. Khushaim developed multiplexed biosensors for early heart attack detection, integrated into portable diagnostic devices. Why it matters: This recognition highlights the growing innovation ecosystem at KAUST and the potential for Saudi Arabia to contribute significantly to global challenges in sustainability and healthcare.