Research Topic
Developing AI-Powered Automated Property Valuation
Research Summary
Mukti's research focuses on the development of automated property valuation, integrating artificial intelligence and advanced analytics to improve valuation accuracy and efficiency. Her work explores the potential of AI-driven valuation systems in emerging markets, addressing key challenges such as model interpretability, market dynamics, and industry adoption.
Her study aims to bridge the gap between theoretical modeling and practical implementation, ensuring that AI-powered valuation tools are both reliable and applicable in real-world property markets. By collaborating with professional bodies like MAPPI (Indonesian Society of Appraisers), Mukti seeks to align her research with industry needs, contributing to the modernisation of property valuation practices in Indonesia and beyond.
Supervisor(s)
- Principal supervisor: Professor Jake Ansell
- Assistant supervisor: Dr Antonia Gieschen
Research Area
Background
Mukti R Dewi is a PhD student in Management Science and Analytics at the University of Edinburgh Business School, supported by the Indonesia Endowment Fund for Education (LPDP) scholarship. She began her doctoral journey in 2025, focusing on advanced data-driven decision-making in business analytics. She holds an MSc in Statistics from the University of Glasgow, where she sharpened her expertise in quantitative analysis and predictive modeling. Before pursuing her doctorate, she worked as a data analyst in a multinational company, gaining industry experience in data-driven decision-making. She later transitioned into academia as a full-time faculty member at a higher education institution in Indonesia, where she contributes to research and teaching in data science, business analytics, and quantitative methods.
Education and Qualifications
| Institute | Award | Dates |
|---|---|---|
| University of Glasgow | MSc Statistics | 2017-2018 |