Filip Biljecki
Faculty & Department
Joint Appointments
Assistant Professor, Real Estate, Business
Jt Appt - Assistant Professor, Real Estate, School of Business
Education
Doctorate, Delft University of Technology, Netherlands
Bachelor (Geodetic & Geoinformatics Engineering), University of Zagreb, Croatia
Bio
Dr Filip Biljecki is an urban data science professor at the National University of Singapore and the founder of the NUS Urban Analytics Lab, which has been a home for dozens of enthusiastic researchers who share ambitions about making our cities smarter and more data-driven. He holds MSc and PhD degrees from the Delft University of Technology in the Netherlands. Filip’s research and teaching integrate urban data science, geomatics, and geospatial technologies to advance digital twins and data-driven urban planning. He has published more than 170 peer-reviewed articles, which have been cited 10,000 times, and some of the work has been translated into practice such as implementation in standards. His research and teaching have been recognised through multiple awards, and he has supervised dozens of students, leading them to publications in leading journals and placements at top universities and organisations. He delivered invited talks at more than 150 universities and organisations worldwide. Filip serves the community through associate editor roles in two prominent journals in urban studies: Computers, Environment and Urban Systems & Landscape and Urban Planning, and co-chair roles in OGC and ISPRS.
Contact Information
My research group and I welcome PhD researchers continuously at all intakes. Please check the website of our group for more information: https://ual.sg/opportunities/application-guide/
The Urban Analytics Lab (https://ual.sg) is a research group at the National University of Singapore with a holistic commitment to urban informatics: not just conducting analytical research but building an ecosystem that supports sustainable and human-centered development of the field and cross-pollination with other domains. This agenda includes foundational research such as advancing spatial data quality assessments, open data benchmarking, investigations on crowdsourcing, and revisiting methodologies alongside structural developments including tools, datasets, standards, and community initiatives.
My Mentoring Style
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Selecting Research Topics?
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Setbacks / Challenges
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Consultation Frequency
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