Bios


Dr. Soheil Sabri
University of Melbourne

Dr. Sabri is a Senior Researcher and Digital Delivery Lead – Digital Twin, at the Centre for Spatial Data Infrastructures and Land Administration in The University of Melbourne. He leads research and developments about digital modernization of urban planning and design and planning support systems.

He managed and delivered several research and development projects including Fishermans Bend Digital Twin, a collaborative project with Victorian Government, Department of Environment, Land, Water, and Planning (DELWP) as well as Spatially Enabled Platform to Support Livability Planning for Singapore Government (Urban Redevelopment Authority). His research, practice, and teaching interests are about developing Urban Digital Twins, Multi-dimensional (3D/4D) Planning Support Systems and analytical tools enabling planners and decision makers for evidence-based and data driven future developments.

Specifically, he leads the research and development of Planning Applications in Urban Digital Twins including Development Envelope Control, Rule-Based Compliance Assessment, and Ecologically Sustainable Design (ESD) for smart and sustainable urban planning and design. He is co-chair of Academia, University, and Research Working Group in Digital Twin Consortium and a member of PlanTech National Working Group in Planning Institute of Australia (PIA).

Prior to this, he was a senior lecturer in the University of Technology Malaysia (UTM), where he delivered several consultancy and research projects about urban gentrification, affordable housing, transportation planning, and the impact of built environment on public health and welfare. Soheil earned his master’s in urban planning and PhD in Urban & Regional Planning, with focus on Geosimulation. He has an extensive and hands on experience in consultancy, research and teaching about technological innovation and digital modernization of urban planning and design, particularly planning support systems, Geosimulation, Geodesign, spatial statistics, analysis and modelling.