معرفی
Guillem Domènech-Gil is an Associate Professor at Linköping University's Department of Thematic Studies. His research focuses on applying machine learning to sensor technologies for environmental and industrial applications. Key areas include optimizing low-cost chemical sensors under challenging conditions, methane monitoring, and electronic nose systems for forensic and food safety purposes.
His work bridges computer science, engineering, and environmental science, aiming to enhance sensor reliability and efficiency. Notable projects include the Next-2Digits initiative, which integrates 2D materials into photonic circuits for advanced optical sensors. Recent contributions address sensor performance in humid environments and methane detection, leveraging AI-driven methods.
Collaborations involve institutions like the Swedish University of Agricultural Sciences and environmental agencies. Domènech-Gil's research has practical implications for forensic investigations (e.g., electronic noses replacing cadaver dogs) and sustainable environmental monitoring.
