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real estate PhD Projects, Programmes & Scholarships
We have 7 real estate PhD Projects, Programmes & Scholarships
Integrated Machine Learning Model for Predicting Emotional Responses to Real Estate Listings
The real estate market is increasingly becoming data-driven, with buyers and sellers relying heavily on online platforms for property listings. Read more
Challenges and opportunities of Artificial Intelligence (AI) in the real estate services sector
Technological advancements have seen exponential growth in many sectors of the world’s economies and people’s lifestyles over the last century. Read more
A Unified Model for Incorporating Metaverse Technologies into Maintenance Management Processes
The advent of the Fourth Industrial Revolution has brought significant advancements in technology, including the rise of the metaverse a digital universe that integrates extended reality, blockchain and Web 3.0 to create immersive, interactive experiences. Read more
Urban Facilities Management in the Smart Places Ecosystem
Growing areas of academic and policy interest in the built environment consider the role of cities as homes to the majority of the world’s population and key drivers for health and wellbeing, resilience and sustainable development. Read more
Intervention without violation of natural order: A complex adaptive systems (CAS) perspective of sustainable urban development
The rise to prominence of the concept and practice of sustainable development over the past few decades has paralleled an increasing number of theoretical platforms upon which to understand the concept. Read more
Machine Learning Approach to managing Facilities Management (FM) Supply Chain Risks
The UK facilities management (FM) industry witnessed a growth of 4.8% in 2022, 5.1% in 2023 and is expected to hit £52billion equivalent to 7.5% of the country’s GDP in 2026. Read more
Secure By Design Datasets – distillation and privatisation for future collaboration
The sharing of data assets is a major administrative challenge, often causing a roadblock to collaboration and research. This is especially true in sensitive domains like the Nuclear sector, where researchers can struggle to find the data needed to train machine learning models. Read more
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