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The next generation of sensing platforms

KAUST ·

KAUST held its third annual Sensor Initiative, hosting 70 delegates from KAUST and international institutions like MIT and UCLA. The interdisciplinary meeting focused on transforming sensor technologies and exploring applications. Researchers from KAUST and abroad presented on topics like chemical sensors and sustainable ecosystems. Why it matters: The initiative demonstrates KAUST's commitment to advancing sensor technology and fostering collaboration between local and international experts.

Sensing the world around us

KAUST ·

KAUST hosted the KAUST Sensor Initiative, convening experts in sensor development, material science, energy, communications, and data analysis. Live demonstrations showcased working prototypes, including a flexible sensor for monitoring the speed of dolphins developed by KAUST Ph.D. student Altynay Kaidarova. The initiative aims to advance a network of smarter, interactive physical IoT devices with embedded intelligent sensor technologies. Why it matters: This initiative highlights KAUST's role in fostering innovation in sensor technology and IoT, crucial for advancing smart infrastructure and environmental monitoring in the region.

Laser focus on air pollution

KAUST ·

KAUST and Saudi Aramco collaborated to develop a laser-based sensor for detecting trace amounts of gas leaks in petrochemical plants. The sensor uses machine learning to identify specific gases, differentiating it from previous sensors that only detect large leaks. The technology can differentiate between closely related industrial gases like benzene, toluene, ethyl benzene and xylene (BTEX). Why it matters: This innovation enables proactive monitoring and rapid pinpointing of leaks, enhancing safety, environmental protection, and operational efficiency in the petrochemical industry.

Building applications inspired by the human eye

KAUST ·

KAUST researchers in the Sensors Lab are developing neuromorphic circuits for vision sensors, drawing inspiration from the human eye. They created flexible photoreceptors using hybrid perovskite materials, with capacitance tunable by light stimulation, mimicking the human retina. The team collaborates with experts in image characterization and brain pattern recognition to connect the 'eye' to the 'brain' for object identification. Why it matters: This biomimetic approach promises advancements in AI, machine learning, and smart city development within the region.

KAUST Professor Boon S. Ooi elected Fellow of U.S. National Academy of Inventors

KAUST ·

KAUST Professor of Electrical Engineering Boon S. Ooi has been elected as a Fellow of the U.S. National Academy of Inventors (NAI). This honor recognizes Ooi's contributions to semiconductor photonics, optical sensors, and particularly his work on fiber sensors for oil & gas and agriculture. Ooi's inventions are relevant to communications, health, energy and agriculture. Why it matters: This recognition highlights KAUST's and the region's increasing contributions to impactful research and innovation in areas like optical sensing and semiconductor photonics.

The KAUST Frontiers of Sensor Science Symposium

KAUST ·

KAUST will host the "U.S. National Academy of Sciences – KAUST Frontiers of Sensor Science Symposium" in December, focusing on sensor technologies. The symposium, in collaboration with the U.S.-based National Academy of Sciences (NAS), will cover agriculture, biomedical applications, environment (smart cities), and materials science. Carlo Ratti, Director of MIT’s SENSEable City Lab, will deliver the keynote address. Why it matters: The event highlights KAUST's strategic focus on sensor technology and its role in fostering international collaboration in cutting-edge research areas relevant to regional development.

KAUST research pioneers smart sensors for better and safer living

KAUST ·

KAUST researchers are developing low-cost, mobile wireless sensors for smart city applications, focusing on flood monitoring. These sensors are designed to be deployed by UAVs and float in water, transmitting data to map flood extent. The system uses "Lagrangian sensing" to gather information from remote locations with minimal infrastructure. Why it matters: This technology offers a cost-effective solution for environmental monitoring and disaster management, particularly relevant for flood-prone areas in Saudi Arabia.

Learned Optics — Improving Computational Imaging Systems through Deep Learning and Optimization

MBZUAI ·

KAUST Professor Wolfgang Heidrich is researching computational imaging systems that jointly design optics and image reconstruction algorithms. He focuses on hardware-software co-design for imaging systems with applications in HDR, compact cameras, and hyperspectral imaging. Heidrich's work on HDR displays was the basis for Brightside Technologies, acquired by Dolby in 2007. Why it matters: This research aims to advance imaging technology through AI-driven design, potentially impacting various fields from consumer electronics to scientific research within the region and globally.