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Results for "Aamir Farooq"

Professor Aamir Farooq named Royal Society of Chemistry fellow

KAUST ·

KAUST Professor Aamir Farooq has been named a Fellow of the Royal Society of Chemistry (FRSC) for his contributions to chemical kinetics research. Farooq leads the KAUST Chemical Kinetics and Laser Sensors Laboratory, which focuses on understanding fundamental processes in energy conversion. His research currently investigates the chemistry of e-fuels, biofuels, low-carbon fuels, and zero-carbon fuels, with a focus on hydrogen and ammonia. Why it matters: This recognition highlights KAUST's contributions to sustainable energy research and positions the university as a key player in developing future fuel technologies.

Associate Professor Aamir Farooq wins combustion science award

KAUST ·

KAUST Associate Professor Aamir Farooq has been named a co-recipient of the 2019 Hiroshi Tsuji Early Career Researcher Award, co-sponsored by Elsevier and The Combustion Institute. Farooq, who leads the KAUST Chemical Kinetics and Laser Sensors Laboratory, is recognized for his work on fuel ignition chemistry. His research aims to improve fuel efficiency and reduce greenhouse gas emissions in transportation and power generation. Why it matters: This award highlights KAUST's commitment to fostering talented faculty and advancing research in clean combustion, a critical area for Saudi Arabia's energy future.

KAUST professors honored with Combustion Institute’s Research Excellence Award

KAUST ·

KAUST Professors Aamir Farooq and Mani Sarathy received the inaugural Research Excellence Award from The Combustion Institute (CI). The CI, established in 1954, promotes combustion science and technology research worldwide. The award recognizes CI members with impactful research papers in combustion science. Why it matters: This award highlights KAUST's contributions to combustion research and strengthens its position as a leading institution in this field.

Algerian Government Honors AIDRC Researcher for Outstanding Achievement

TII ·

Dr. Mohamed Ferrag, a Lead Researcher at AIDRC, received the "Algeria Scopus Award" from Algeria's Ministry of Education and Higher Research for his contributions to computer science. Dr. Ferrag is an IEEE Senior Member and has authored many scientific papers and books. He was also ranked among the World's Top 2% Scientists from Stanford University in 2020-2022. Why it matters: This award recognizes and encourages scientific research and talent within the Algerian AI and computer science community.

Peng Xiao and G42’s Expanding Influence in Global AI - AI Magazine

GCC AI Jobs ·

This article discusses Peng Xiao and G42's growing influence in the global AI landscape. It highlights G42's strategic partnerships and investments in AI infrastructure and applications. The article suggests that G42 is becoming a key player in shaping the future of AI, particularly in the Middle East. Why it matters: G42's expansion signifies the UAE's ambition to become a global AI hub and its increasing role in driving AI innovation and adoption worldwide.

Conquering your doorstep mile

KAUST ·

British author and explorer Alastair Humphreys visited KAUST as part of the Enrichment in the Spring program. Humphreys, known for trekking across the Empty Quarter, shared his adventures with the KAUST community. The event aimed to bring a sense of adventure to the university. Why it matters: Such events enhance the cultural and intellectual environment at KAUST, fostering a broader perspective among students and faculty.

Making LLM accuracy a matter of fact

MBZUAI ·

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.