Adam Adgar

Adam Adgar is a Professor and Head of the Department of Engineering at Teesside University's School of Computing, Engineering and Digital Technologies. He earned a PhD in Control Engineering from the University of Sunderland (1998) and an MEng (Hons) in Chemical Engineering from the University of Nottingham (1992). His research focuses on process control, mathematical modeling, condition monitoring, AI applications in engineering, and water treatment systems. He has led numerous national and EU-funded projects, including EPSRC's Toolkit for Water Treatment Systems and EUFP6 initiatives like DYNAMITE and POSSEIDON.

Education:

• PhD in Control Engineering, University of Sunderland (1998)
• MEng (Hons) in Chemical Engineering, University of Nottingham (1992)

Research Interests: Dr. Adgar's work spans advanced sensor validation, process simulation, and AI-driven solutions for industrial challenges. He has pioneered methodologies in maintenance optimization and e-maintenance frameworks, emphasizing dynamic decision-making and IoT integration. His contributions to water treatment automation have improved coagulation control and sensor reliability in industrial settings.

Publications: His articles highlight innovations in microreactor systems for VOC oxidation, computational fluid dynamics in catalytic processes, and e-maintenance systems. Key themes include sustainable energy solutions, predictive maintenance, and cross-disciplinary engineering applications.

Awards: None explicitly listed.

Advising & Grants: Supervised four successful PhD projects and secured funding for projects like the EPSRC water treatment toolkit. Active in EU collaborative research, including Dynamic Decisions in Maintenance (DYNAMITE) and oil quality analysis (SENSOIL).

Labs/Teams: Part of the Chemical and Bioprocess Engineering group, contributing to interdisciplinary research in industrial automation and environmental engineering.