
معرفی
Stephen Brown is an Associate Professor at Queen’s University, jointly affiliated with the School of Environmental Studies and the Department of Chemistry. His expertise lies in developing innovative environmental analysis methods, particularly for detecting small organic contaminants in aqueous samples. He specializes in optical sensor technology and enzyme-based assays, focusing on sensitivity and selectivity in environmental monitoring. His research integrates instrument design, biochemical detection methods, and field applications to address real-world environmental challenges.
Dr. Brown holds a B.Sc. (1985) from Dalhousie University, an M.Sc. (1988) and Ph.D. (1992) from the University of Toronto. His work emphasizes practical solutions for water quality assessment, including wastewater surveillance, microbial source tracking, and oil toxicity evaluation. Recent projects include analyzing groundwater contamination patterns, SARS-CoV-2 monitoring in wastewater, and risk assessments for private well users.
His research trends reflect a focus on interdisciplinary approaches, combining big data analytics, machine learning, and environmental chemistry. Key themes include improving detection accuracy in dynamic systems, understanding microbial interactions in contaminated environments, and advancing sensor technology for field deployment. He also explores public health dimensions, such as consumer risk perception and behavioral responses to water quality issues.
Dr. Brown’s contributions span academic publications, patents (e.g., on switchable ionic strength water and optical sensors), and collaborations with environmental agencies. His lab in Chernoff Hall develops cutting-edge tools for environmental analysis, including enzyme immobilization techniques and fiber-optic sensor systems. His work addresses critical challenges in environmental health and sustainability, with implications for policy and community resilience.
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