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Turning today's composite materials innovations into tomorrow's reality

KAUST ·

KAUST researchers at the Composite and Heterogeneous Materials Analysis and Simulation Laboratory (COHMAS) are developing new composite materials and computational models. The research focuses on ensuring the stability and service lifetime of composite structures used in aircraft, windmill blades, and industrial pipes. Professor Gilles Lubineau leads the group's work on computational modeling and experimental developments. Why it matters: This research aims to advance the use of composite materials in key sectors by addressing the challenge of long-term reliability, contributing to sustainability goals in energy, transportation and other industries.

Former president honored by Harvard

KAUST ·

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.

Supporting malaria solutions

MBZUAI ·

Malaria No More, the Crown Prince Court of Abu Dhabi, and the Reaching the Last Mile program launched the Institute for Malaria and Climate Solutions (IMACS) to combat malaria amidst climate change. Mohamed Bin Zayed University for Artificial Intelligence (MBZUAI) joined as a technical partner, providing research support leveraging AI and data science. The initiative aims to develop and implement AI-driven strategies to address the impact of climate change on malaria transmission. Why it matters: This partnership highlights the UAE's commitment to using AI for global health challenges, particularly in combating climate-sensitive diseases like malaria.

Al-Maha Systems provides an IoT livestock health tracking system for farmers

KAUST ·

Al-Maha Systems, a startup founded by KAUST students, has developed an IoT system for livestock health tracking. The system uses sensors attached to cows to monitor vital data like heart rate and body temperature, transmitting it to a cloud server. The goal is to detect health problems early and optimize breeding times for dairy farms. Why it matters: This innovation can improve efficiency and productivity in Saudi Arabia's dairy industry by leveraging IoT for animal husbandry.

Lubineau elected to European Academy of Sciences and Arts

KAUST ·

Gilles Lubineau, KAUST's Discovery Associate Dean for Faculty in PSE and PI in the COHMAS lab, has been elected to the European Academy of Sciences and Arts. Lubineau's nomination recognizes his contributions to material engineering, specifically developing approaches for predicting and improving the integrity of materials and structures. He hopes this nomination will build bridges between European and Saudi academic communities. Why it matters: This recognition of a KAUST faculty member elevates the university's international standing and fosters potential collaborations in engineering and materials science.

Proceedings of Symposium on Data Mining Applications 2014

arXiv ·

The Symposium on Data Mining and Applications (SDMA 2014) was organized by MEGDAM to foster collaboration among data mining and machine learning researchers in Saudi Arabia, GCC countries, and the Middle East. The symposium covered areas such as statistics, computational intelligence, pattern recognition, databases, Big Data Mining and visualization. Acceptance was based on originality, significance and quality of contribution.

Movement Control of Smart Mosque's Domes using CSRNet and Fuzzy Logic Techniques

arXiv ·

This paper proposes a smart dome model for mosques that uses AI to control dome movements based on weather conditions and overcrowding. The model utilizes Congested Scene Recognition Network (CSRNet) and fuzzy logic techniques in Python to determine when to open and close the domes to maintain fresh air and sunlight. The goal is to automatically manage dome operation based on real-time data, specifying the duration for which the domes should remain open each hour.

ML Systems For Many

MBZUAI ·

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.