Materials for Intelligent Light Enhanced Gas Sensors

Air quality and gas sensing technology are essential for environmental monitoring, industrial safety, and healthcare, yet current sensors face poor selectivity and high energy use. This project addresses these issues by combining three strategies: (i) synthesising nanocomposite materials to enhance receptor and transducer functions, (ii) leveraging light to reduce power consumption, and (iii) using AI for real-time signal processing. Advanced nanomaterials—metal oxides, black metals, and phthalocyanines with graphene—will enable precise hazardous gas detection. State-of-the-art tools will be employed for theoretical simulations and the synthesis of chemiresistive sensor structures. AI-powered processing will enhance selectivity via sensor arrays and light sources. The project will revolutionise gas sensing with adaptive solutions. Hosted by a leading research institution, this fellowship will drive breakthroughs in smart sensing for environmental and healthcare challenges.