About

Part of Andy's research is dedicated to developing new sensing technology for the water industry, utilising optical, electrical, acoustic, and infrared principles. His expertise in instrumentation design facilitates the understanding of hydro-environmental processes. Additionally, he collaborates with companies to validate sensing technologies, and he serves as Chair of the Sensors for Water Interest Group (SWIG.org.uk). Andy's research extends to investigating flowing water surfaces and developing technologies to measure them, enabling the identification of hydraulic processes. He aims to establish connections with other hydro-environmental processes such as greenhouse gas evasion, pollutant mixing, and sediment transport, resulting in international patents and national awards. In addition to his work in the water industry, Andy specialises in novel machine learning-based methods for asset management. He has collaborated extensively with Network Rail on numerous projects focused on monitoring, modelling, and managing drainage infrastructure more effectively. His efforts aim to reduce failure and flood risks, safeguarding train operations and rail customers while enhancing overall asset management strategies. For his work in this field, he was awarded a Royal Academy of Engineering Industrial Fellowship。 His research spans from laboratory studies in collaboration with academic colleagues to field studies with industrial partners and local authorities. Andy's multidisciplinary approach and collaboration with industry partners underscore his commitment to addressing real-world challenges in engineering and environmental sciences.

Career Type:

Scientist/Researcher/Academic

Organization Type:

Universities and Academia

Expertise Fields/Interests:

Water Sensing and Monitoring; Drainage Asset Management; Railway Drainage Systems;

Major Achievements: