Kourosh Behzadian

Professor

University of West London

United Kingdom

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Professor Kourosh Behzadian is a faculty member at the University of West London, UK. His research areas encompass waste-to-energy technologies, artificial intelligence applications in environmental monitoring, and sustainable construction materials. He has contributed significantly to the field through recent articles focusing on data mining for COVID-19 detection, as well as advanced modeling approaches in water quality forecasting.

Articles (22)

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2025

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2023

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2022

Collaborators (9)

Farzad Piadeh

University of Hertfordshire

UNITED KINGDOM

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Pekka M. Rossi

Assistant Professor

University of Oulu

FINLAND

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Angela Bywater

University of Southampton

UNITED KINGDOM

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Mohammad Gheibi

Technical University of Liberec

CZECH REPUBLIC

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Stanisław Wacławek

Technical University of Liberec

CZECH REPUBLIC

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Luiza Cintra Campos

Professor of Environmental Engineering

University College London

UNITED KINGDOM

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José Rodrigo Córdoba-Pachón

University College London

UNITED KINGDOM

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Babak Kavianpour

University of West London

UNITED KINGDOM

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Zoran Kapelan

Delft University of Technology

NETHERLANDS

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Kourosh Behzadian

Research Interests

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About

Articles (22)

Waste-to-Energy Potential of Petroleum Refinery Sludge, Statistical Optimization, Machine Learning, and Life Cycle Costs Models

Efficient COVID-19 detection using data mining algorithms: a comparison of basic and hybrid approaches

Stakeholder analysis in the application of cutting-edge digital visualisation technologies for urban flood risk management: A critical review

A critical review for the impact of anaerobic digestion on the sustainable development goals

Comparative Evaluation of Deep Learning Techniques in Streamflow Monthly Prediction of the Zarrine River Basin

Aging behaviour assessment of cellulosic fibres in alkaline media: A green technology approach in construction materials

Preparation of Green Sustainable Cement Paste Mixture Based on Inorganic Additives: An Experimental and Modelling Approach

A critical review of digital technology innovations for early warning of water-related disease outbreaks associated with climatic hazards

A new framework for water quality forecasting coupling causal inference, time-frequency analysis and uncertainty quantification

Real-time operation of municipal anaerobic digestion using an ensemble data mining framework

Applications of artificial intelligence for chemical analysis and monitoring of pharmaceutical and personal care products in water and wastewater: A review

Event-based decision support algorithm for real-time flood forecasting in urban drainage systems using machine learning modelling

Resilience Assessment in Urban Water Infrastructure: A Critical Review of Approaches, Strategies and Applications

Developing a smart and clean technology for bioremediation of antibiotic contamination in arable lands

Development of an artificial intelligence-based framework for biogas generation from a micro anaerobic digestion plant

Enhancing community resilience in arid regions: A smart framework for flash flood risk assessment

A new integrated agent-based framework for designing building emergency evacuation: A BIM approach

A novel smart framework for optimal design of green roofs in buildings conforming with energy conservation and thermal comfort

A new multi‐criteria framework to identify optimal detention ponds in urban drainage systems

Assessment of sustainable drainage strategies in urban water systems using urban water metabolism and multi-criteria decision analyses

A critical review for the application of cutting-edge digital visualisation technologies for effective urban flood risk management

A multi-criteria risk-based approach for optimal planning of SuDS solutions in urban flood management

Collaborators (9)

Farzad Piadeh

Pekka M. Rossi

Angela Bywater

Mohammad Gheibi

Stanisław Wacławek

Luiza Cintra Campos

José Rodrigo Córdoba-Pachón

Babak Kavianpour

Zoran Kapelan

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