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Onur Demirci works as a Senior Lecturer at Westminster Business School of Applied Management, the University of Westminster.  He is currently conducting various research projects on the FinTech, PropTech digital innovations (Artificial Intelligence - AI, Big Data and Smart City), as part of a broader digital transformation in the property industry. Onur's job is thinking things about digitalisation that most people in the industry are not thinking of - yet.

He is creating algorithms (mathematical models) on the Automated Valuation Models (AVMs), based on Big Data, Artificial Intelligence - AI and the Smart City (Internet of Things - IoT).

He is an expert on all of the five types of Automated Valuation Models (AVMs). These are hedonic models, econometric forecasts, 'intelligent' systems (Artificial Neural Networks - ANN and Fuzzy Logic), house price index (HPI) models and tax assessed value models (TAV). 

Onur’s research interests are the AVMs, FinTech, PropTech digital innovations, Game Theory, Decision Theory, Neoclassical Theory, Critical Theory, Covering-Law Model which includes the Deductive-Nomological Model (D-N Model) and the Inductive-Statistical Model (I-S Model), Valuations, Real Estate Finance (predominantly Asset Management - Gearing, Hedging and Derivatives), Property Markets, Big Data, Smart City, Artificial Intelligence (AI) and the Geographic Information System (GIS) with a specific focus on the algorithm-based valuation models. 

He supervises and assesses both the Undergraduate and Postgraduate dissertations (thesis).

For further information, please refer to the 'Research' tab.

External Activities

  • Affiliated Member of the University of Cambridge, Homerton College
  • The University of Cambridge, Homerton College Alumni
  • UCL (University College London), The Bartlett Alumni
  • Qualified Teacher Status (QTS) awarded by The Department for Education of Her Majesty's Government
  • Fellow of The Higher Education Academy (FHEA)
  • Fellow of The Royal Statistical Society
  • Fellow of The Royal Geographical Society (with the Institute of British Geographers)
  • Fellow of The Royal Society  for the Encouragement of Arts, Manufactures and Commerce

Teaching

Onur leads and lectures on a number of Undergraduate and Postgraduate [Masters] modules. 

He is the Module Leader for the following core modules: 

  • Introduction to Property Investments and Valuations (Level 4) (Double Module)   
  • Residential Survey and Development (Level 5)  
  • Property Management [Residential & Commercial] (Level 6) (Double Module)
  • Sustainability and Environmental Policy (Level 6)

He is the Module Academic Team Member for the following core modules:  

  • Introduction to Planning and Sustainability (Level 4)
  • Introduction to Building Technology (Level 4)
  • Commercial Practice [Valuation & Law] (Level 5) (Double Module)
  • Global Practice (Level 6)
  • Tech 6 (Level 6)
  • Development Project (Level 6)
  • Space Strategies and Legislation (Level 7)
  • Valuation and Law (Level 7)
  • Dissertation (Level 7) (Double Module)

He supervises and assesses both the Undergraduate and Postgraduate dissertations (thesis).

He is a personal tutor (University Academic Tutor) to both Undergraduate and Postgraduate [Masters] students. He has an active interest in a student's academic progress and university experience and is concerned for a student's general welfare.

Onur is also a professional tutor (Apprentice Tutor for the Undergraduate Degree Apprentice students), liaising and working with professional services.

External Activities

Affiliated Member of the University of Cambridge, Homerton College

The University of Cambridge, Homerton College Alumni

UCL (University College London), The Bartlett Alumni

Qualified Teacher Status (QTS) awarded by The Department for Education of Her Majesty's Government

Fellow of The Higher Education Academy (FHEA)

Fellow of The Royal Statistical Society

Fellow of The Royal Geographical Society (with the Institute of British Geographers)

Fellow of The Royal Society  for the Encouragement of Arts, Manufactures and Commerce

Research

Onur is currently conducting various research projects on the FinTech, PropTech digital innovations (Artificial Intelligence - AI, Big Data and Smart City), Game Theory, Decision Theory, Neoclassical Theory, Critical Theory, Covering-Law Model which includes the Deductive-Nomological Model (D-N Model) and the Inductive-Statistical Model (I-S Model) as part of a broader digital transformation.

He is creating algorithms (mathematical models) on the Automated Valuation Models (AVMs), based on Big Data, Artificial Intelligence - AI and the Smart City (Internet of Things - IoT). He uses numerous algorithms, including the GLM (General Linear Models) and GRM (General Regression Models). He has a focus on both the Regression-type problems and Classification-type problems.

He is an expert on all of the five types of Automated Valuation Models (AVMs) - Mathematical Models. These are hedonic models, econometric forecasts, 'intelligent' systems (Artificial Neural Networks - ANN and Fuzzy Logic), house price index (HPI) models and tax assessed value models (TAV). 

The models include The Hedonic Regression Analysis, The Regression Tree Algorithm and The Linear Regression (The Multivariate Regression Model and Multiple Regression Analysis).