KAUST has launched the KAUST Challenge: Ideas and Solutions for Hajj & Umrah 2020, in partnership with The Makkah Cultural Forum. The challenge aims to catalyze research, innovation, and economic development in Saudi Arabia. The KAUST Challenge will award 1 million SAR in cash and other prizes for ideas to improve the Hajj and Umrah experience and advance efforts to make Makkah a smart city. Why it matters: This initiative connects AI innovation directly to Saudi Arabia's Vision 2030 and the specific needs of religious tourism, a unique application area.
A research paper proposes a smart waste management system called TUHR for Makkah, Saudi Arabia, leveraging IoT and AI to handle waste accumulation during the annual pilgrimage. The system uses ultrasonic sensors to monitor waste levels and gas detectors to identify harmful substances, alerting authorities when containers are full or hazards are detected. The proposed system aligns with Saudi Vision 2030 by promoting sustainability and improving public health through optimized waste management.
A proposed recognition system aims to identify missing persons, deceased individuals, and lost objects during the Hajj and Umrah pilgrimages in Saudi Arabia. The system intends to leverage facial recognition and object identification to manage the large crowds expected in the coming decade, estimated to reach 20 million pilgrims. It will be integrated into the CrowdSensing system for crowd estimation, management, and safety.
KAUST and the Al-Madinah Region Development Authority (MDA) signed an MoU to enhance efficiency, resiliency, and safety in Al-Madinah. KAUST will share high-resolution climate change projections and assess soil loss dynamics. The collaboration aims to tackle challenges in the environmental and water sectors through research, development, and training. Why it matters: This partnership showcases KAUST's role in translating research into practical smart city solutions for regional development, addressing critical environmental concerns.
KAUST and Umm Al-Qura University (UQU) have signed a memorandum of understanding (MoU) to collaborate in education, training, scientific research, and professional development. The MoU includes developing joint training programs, updating curricula, providing consultancy, and organizing workshops. The partnership aims to support academic and technological advancement, enhance national talent, and align with Saudi Vision 2030. Why it matters: This collaboration strengthens Saudi Arabia's knowledge-based economy by integrating KAUST's research environment with another major university.
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.
This paper proposes a smart dome system for mosques that uses machine learning to automatically control dome ventilation based on weather conditions and outside temperatures. The system was tested on the Prophet Mosque in Saudi Arabia using K-Nearest Neighbors and Decision Tree algorithms. The Decision Tree algorithm achieved a higher accuracy of 98% compared to 95% for the k-NN algorithm.
KAUST hosted the KAUST Ignite ideation challenge with 90+ students from Saudi universities participating. The three-day event partnered with the Ministry of Hajj and Umrah, SWCC, and SAEI, challenging students to address regional and global issues. Participants formed teams to develop solutions for real-world challenges in water, aviation, and the Hajj experience, presenting their ideas to judges. Why it matters: This initiative fosters innovation and entrepreneurship among Saudi students, addressing critical challenges and contributing to Saudi Arabia's economic transformation.