akilu yunusa-kaltungo

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Lecturer

The University of Manchester

United Kingdom

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Dr. Akilu Yunusa-Kaltungo is a Lecturer at the University of Manchester, UK. His research focuses on occupational safety and health in modular construction, passive energy consumption optimization strategies, and the integration of building information modeling in operations and maintenance. He has authored several articles exploring these areas, including the development of decision support tools and assessments for sustainable building practices.

Recent Grants

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PhD Overseas Scholarship

Open Date: 2012-09-01

Close Date: 2016-09-01

akilu yunusa-kaltungo

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Articles (23)

A systematic review of occupational safety and health in modular integrated construction

PSAT: A knowledge-based decision support tool for selecting passive energy consumption optimisation strategies in buildings

Selection of passive energy consumption optimisation strategies for buildings

Drivers and barriers to the adoption of passive energy consumption optimisation strategies for UK buildings: A fuzzy approach

Development and evaluation of a maturity assessment tool for integrating building information modelling into operations and maintenance phase of buildings

Exploring Benefits and Concerns of Incorporating Digital Tools into Engineering Education

Optimisation of critical parameters for sustainable production of graphene-enhanced cement

Assessing the viability of hybrid renewable energy systems in Nigeria

Assessment of safety climate perception of maintenance workers during major overhauls, outages, shutdowns or turnarounds (MoOSTs)

Experimental and operations viability assessment of powder-to-powder (P2P) mixture of graphene and cement for industrial applications

The potential of construction robotics to reduce airborne virus transmission in the construction industry in the UK and China

Key information requirements for integrating building information modelling with operations and maintenance: A Delphi approach

A systematic review of passive energy consumption optimisation strategy selection for buildings through multiple criteria decision-making techniques

Predicting Quality Parameters of Wastewater Treatment Plants Using Artificial Intelligence Techniques

A Systematic Review of the Application of Immersive Technologies for Safety and Health Management in the Construction Sector

Developing a machine learning based building energy consumption prediction approach using limited data: Boruta feature selection and empirical mode decomposition

Applications of immersive technologies for occupational safety and health training and education: A systematic review

A whole-building data-driven fault detection and diagnosis approach for public buildings in hot climate regions

Developing an industry‐inspired and engaging interdisciplinary unit for undergraduate engineering students: A depiction of the operations management unit at the University of Manchester

A hybrid agent-based machine learning method for human-centred energy consumption prediction

An interactive agent-based modelling framework for assessing COVID-19 transmission risk on construction site

A practical application of methodologies to determine asset criticality and work order prioritization

Feature selection strategy for machine learning methods in building energy consumption prediction

Collaborators (9)

Saeed Reza Mohandes

Amirhossein Balali

Glen Cooper

Ruifeng Cao

Clara Cheung

Patrick Manu

Rodger Edwards

Haleh Sadeghi

Akinloluwa Babalola

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