MBZUAI has implemented three HyFlex (hybrid flexible) classrooms using Zoom to connect remote and in-person students. The classrooms include smart whiteboards, sensor cameras, and multiple screens, benchmarked against setups at Harvard and King's College. A research article on the development of MBZUAI's HyFlex approach is under peer review. Why it matters: This initiative enhances hybrid learning in the region and provides a model for other universities looking to integrate advanced technology into their educational spaces.
MBZUAI appointed Ekaterina Kochmar as an assistant professor of NLP to advance AI-assisted learning. Kochmar co-founded Korbit AI, an AI-powered dialogue-based tutoring system for STEM subjects. Korbit AI aims to democratize education by providing personalized, high-quality education globally at minimal cost. Why it matters: This appointment highlights MBZUAI's commitment to AI in education and personalized learning, positioning the UAE as a hub for innovation in educational technology.
KAUST Professor Muhammad Mustafa Hussain was elected as an IEEE Fellow for his contributions to flexible and stretchable electronic circuits. Hussain is the principal investigator of the KAUST Futuristic Electronics and Integrated Nanotechnology Lab and the principal ideator of the KAUST FabLab and vFabLab™. His research focuses on transformational electronics, introducing new applications for web-integrated interactive electronics using CMOS-compatible processes. Why it matters: This recognition highlights KAUST's contributions to cutting-edge research in flexible electronics, an area with increasing importance for IoT devices and various applications in robotics, healthcare, and automation.
KAUST has launched vFabLab™, its first virtual lab, to provide online distance learning for semiconductor fabrication. The virtual environment trains users on end-to-end device fabrication sequences using CMOS technology. Developed by KAUST's CEMSE division, each training session includes an interactive Q&A. Why it matters: This virtual lab expands access to crucial experimental modules in semiconductor fabrication, particularly benefiting students and enthusiasts lacking access to expensive cleanroom facilities in the region.
This paper introduces a hybrid deep learning and machine learning pipeline for classifying construction and demolition waste. A dataset of 1,800 images from UAE construction sites was created, and deep features were extracted using a pre-trained Xception network. The combination of Xception features with machine learning classifiers achieved up to 99.5% accuracy, demonstrating state-of-the-art performance for debris identification.
KAUST researchers led by Dr. Muhammad Hussain have developed a flexible, transparent silicon-on-polymer based FinFET inspired by the folded architecture of the human brain's cortex. The team created a 3D FinFET on a flexible platform without compromising integration density or performance. They aim to demonstrate a fully flexible silicon-based computer by the end of the year. Why it matters: This research could lead to the development of ultra-mobile, foldable computers and integrated circuits, advancing the field of flexible electronics in the region.
KAUST alumnus Aftab Hussain, now a faculty member at the International Institute of Information Technology in Hyderabad, is working on flexible electronics for wearable devices. His research focuses on overcoming the rigidity of microprocessors and memory circuits by using materials like copper and polyimide. Hussain developed processes for creating stretchable metal spring structures applicable in thermotherapy, with published patents. Why it matters: This work demonstrates KAUST's role in fostering research that addresses key challenges in wearable technology, contributing to advancements in healthcare and micro-robotics.
KAUST and Saudi healthtech company amplifAI health have signed an MoU to develop a new disease detection system. The system will combine amplifAI's AI technology with KAUST's HyplexTM hyperspectral imaging, initially for diabetic foot complications. Clinical trials are planned, with aims to reduce amputations and save Saudi Arabia over 2 billion Riyals annually. Why it matters: This partnership showcases the potential of combining Saudi AI and advanced imaging technologies to address pressing healthcare challenges in the region, particularly diabetes.