KAUST researchers led by Atif Shamim have developed a low-cost, 3D-printed wireless sensor node for real-time environmental monitoring. The disposable sensor nodes can detect noxious gases, temperature, and humidity, and have been tested in the lab and field, surviving drops and temperatures up to 70°C. The system aims to saturate high-risk areas with these sensors, linked wirelessly to fixed nodes that raise alarms. Why it matters: This innovation provides a cost-effective solution for large-scale environmental monitoring, addressing the limitations of expensive fixed sensors and satellite monitoring, and potentially revolutionizing early warning systems for wildfires and gas leaks in the region.
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.
KAUST held a KAUST-U.S. National Science Foundation (NSF) Conference on Environmental Monitoring from November 6 to 8, 2017. The conference focused on sustainability with an emphasis on environmental monitoring and sensing, including data collection, signal processing, and real-time decision-making. Keynote speakers included Ali Sayed (EPFL), Allen Tannenbaum (SUNY Stony Brook), and Dinesh Manocha. Why it matters: Such conferences foster international collaboration and knowledge exchange in applying AI and related technologies to pressing environmental challenges in Saudi Arabia and globally.