Research output per year
Research output per year
Project: Research
• Distributed knowledge graphs, 2020-2024. Funder: the European Cooperation in Science and Technology (COST), the EU Framework Programme Horizon 2020, European Union, Belgium.
• Adaptive disaster and emergency management for the sustainable built environment, 2014-2015. Funder: the British Council, UK.
• Optimising energy use in the National Gallery buildings in Scotland, 2014-2018. Funders: the Energy Technology Partnership (ETP) and the National Galleries of Scotland, UK.
• Developing a system prototype for rapid and accurate post-disaster damage and needs assessment of built assets (Built Assets DNA), 2012-2013. Funder: EPSRC Additional Sponsorship, EPSRC Ref.EP/J501335/1, the Engineering and Physical Sciences Research Council (EPSRC), UK.
• The effective design and delivery of megaprojects in the European Union, 2011-2015. Funder: COST, Belgium.
• An innovative theoretical framework for the research and development of intelligent buildings, 2011. Funder: The Royal Society, UK.
• Co-ordinated management of intelligent pervasive spaces (CMIPS), 2005-2008. Funders: Former Department of Trade and Industry (DTI), Thales Group, and Arup Group, UK.
Dr Zhen Chen is an academic participant to the following funded research projects:
• Research projects at the Centre for Digital Built Britain. University of Cambridge, UK. 2018.PhD Research Projects
Liangyu Chen: An AI Integrated Metaheuristic Framework for Architectural Design JustificationSaleh Seyedzadeh: Modelling Non-domestic Buildings Energy Performance Using Machine Learning Methods
Prince Boateng: A Dynamic Systems Approach to Megaproject Risk Analysis and Simulation
Shashwat Ganguly: An Innovative Control Method for Optimising Energy Use in the National Gallery buildings in Scotland
JawadAl Suliman: The Management of Variation Orders in the Saudi Public Construction Projects
Sukulpat Khumpaisal: An Analytic Approach to Risk Assessment in Thailand’s Real Estate Development Industry
Mohamed A. Atweijeer: A Total Lean Construction Framework
Ambark Bareka: A Text Mining Approach to Performance Enhancement in BIM Pervasive Major Project Delivery
Soukaina Elaouad: Assessment of Social Sustainability Using Big Data Analytics and BIM Systems
Alaeddin Etakali: An Empirical Research into Lean Agile Construction for Project Risks Management
Saiful Fazli BinRamli: HBIM Based Preventive Conservation for Historic Timber Buildings in Malaysia
Ozaer Zaed: A Framework for BIM Excellence in Architectural Education in LibyaSilpa Singharajwarapan: Automated Chiang Mai Building Code and Regulatory Compliance Audit via BIM-based Model
Call for Participation
This research unit is open for new students to pursue doctoral research in areas relating to professional excellence in the subject field of built environment. Specific research topics are among but not limited to the two themes below:
Research Theme A: Artificial Intelligence for Professional Excellence in Built Environment
This research theme aims to foster new multidisciplinary research into specific challenging issues in the subject field of built environment with regard to the adoption of Artificial Intelligence (AI) for excellence in professional practices. This project is open to applicants who have specialty interests in related areas and have ambition to generate new knowledge and advanced solutions to inform academic research and professional practices in the design, construction, and/or operation of buildings and/or civil infrastructure.
The research areas of this research theme include but not limited to the following new analysis and/or solutions in the context of engineering and/or management for built environment projects:
• AI aided decision making across work stages including planning, design, construction, and/or operation, particularly in BIM pervasive major project delivery.Research Theme B: Evidence-based Learning and Research for Professional Excellence in Built Environment
This research theme aims to foster new world class research into challenging issues in the built environment with regard to evidence-based practice for excellence in professional practices. It is open to applicants who have specialty interests in related areas and have ambition to generate new knowledge to inform academic research and professional practices in the design, construction, and/or operation of buildings and/or civil infrastructure.
The research areas within this theme include but not limited to the following new analysis and/or solutions in the context of engineering and/or management for the built environment:
• Calculated/Informed/Intelligent decision-making support in design, construction, and/or operation
• Methodological studies on advanced technical solutions for optimization and/or optioneering with regard to people, products, processes, resources, and/or environment
• The enhancement of capability, dependability, efficacy, and/or resilience at strategic, tactical, and/or operational levels
• The study on accidents or best practices to advance the professional body of knowledge
Expected research outcomes: It is expected that each PhD Candidate on a specific research topic will complete their study with, but not limited to, the following research outcmes to support career development in academic research and/or professional practices:
• Academic papers published in reputable international journals.
• One book (based on PhD dissertation) published by one reputable international publisher.
• Presentations to national and/or international audiences.
Relevant subject areas include but not limited to: Engineering (Civil & Structural Engineering), Maths & Computing (AI & Machine Learning; Data Analysis; Operational Research), Social Science & Health (Architecture & the Built Environment; Education; History; Political Science & International Studies; Psychology), and Business & Finance (Business & Management).
Status | Active |
---|---|
Effective start/end date | 1/08/16 → … |
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):
Research output: Chapter in Book/Report/Conference proceeding › Other chapter contribution
Research output: Contribution to journal › Special issue › peer-review
Research output: Contribution to conference › Abstract › peer-review
Chen, Z. (Principal Investigator)
1/05/17 → …
Project: Non-funded project
Chen, Z. (Principal Investigator)
1/01/20 → 31/03/23
Project: Research
Zhang, W. (Creator) & Chen, Z. (Creator), 17 Dec 2020
DOI: 10.17632/rxypc3jjdj.1, https://data.mendeley.com/datasets/rxypc3jjdj/1
Dataset
Chen, Z. (Speaker)
Activity: Talk or presentation types › Invited talk
Chen, Z. (Participant)
Activity: Participating in or organising an event types › Organiser of major conference