Dr Abdul-Manan Sadick

Sadick holds a PhD in Civil Engineering (Construction Engineering Management specialisation) from the University of Manitoba in Canada, MSc Project Management (with Distinction) from Northumbria University in the UK, and BSc (Hons, First Class) Building Technology from Kwame Nkrumah University of Science and Technology (KNUST) in Ghana.

Prior to his MSc Project Management in the UK, Sadick worked as a Quantity Surveyor and Project Manager in the Ghanaian construction industry.  

Sadick is a member of ASHRAE and serves on the "Physiology and Human Environment" and "Buildings and Environmental Impacts and Sustainability" Technical Committees. He is also a Project Management Professional (PMP) with the Project Management Institute.

The primary purpose of buildings is to provide safe and conducive spaces to accommodate human activities in different life domains including work, school and home. Sadick’s research therefore focuses on human interactions with the built environment. He is interested in assessing the intricate relationships between building performance and occupants’ behaviour with the aim of optimising building performance without compromising occupants’ satisfaction, well-being and productivity. Sadick views the human interaction with indoor environments as a dynamic system with multiple interacting factors and therefore believes in employing an integral research approach that uses methods from the qualitative and quantitative research traditions. Sadick is interested in using artificial intelligence (AI) and machine learning (ML) techniques to enhance occupants’ interaction with indoor environments and to automate analysis of occupants’ feedback to improve building performance. This AI and ML focused research also includes leveraging social media data to investigate human behaviour and its impact on building performance. He is also interested in exploring the social and economic impact of human interactions with the built environment. Sadick collaborates locally and globally with other researchers, working on different building types including offices, schools, hospitals, and homes. His broad research interests include the following:

• Building performance assessment
• Occupants’ comfort, well-being and satisfaction
• Green/sustainable buildings
• Occupant-centric building control
• Building operation and maintenance
• Building performance assessment
• Natural language processing (NLP)

Current

• SRT757: Bulding Systems and Environment
• SRT358: Building Environmental Services
• SRT722: Susutainable Construction Studies
• SRR402: Construction Research Thesis
• SRQ460: Quantity Surveying Practice

Previous

• SRQ780: Strategic Construction Procurement
• SRT257: Building Environmental Studies
• SRQ764: Building Project Evaluation
• SRR401: Introduction to Construction Research

"How a clever little cube can help you pick the best spot in the office", The Sydney Morning Herald, https://www.smh.com.au/national/how-a-clever-little-cube-can-help-you-pick-the-best-spot-in-the-office-20190507-p51kwa.html

2022 Best Paper Awards from Building and Environment

https://www.sciencedirect.com/journal/building-and-environment/about/news#2022-best-paper-awards-building-and-environment

Paper Title: Quality criteria for multi-domain studies in the indoor environment: Critical review towards research guidelines and recommendations (https://doi.org/10.1016/j.buildenv.2022.109719)

SDG Mapping with NLP

• sdgBERT is an NLP model developed for classifiying text regarding the UN Sustainable Developement Goal. The model is accessible at sdgBERT.
• An online app is available at SDG-Text-Classifier-App for simple case uses of sdgBERT.