Jorge Gil

Associate Professor in Urban Analytics and Informatics in the Department of Architecture and Civil Enginnering. His primary research focus is on the conceptualisation and development of integrated urban models applied to digital urban planning research and practice, in the context of Smart Cities, City Information Modelling (CIM) and Urban Digital Twins. These are applied in the domains of sustainable mobility of people and goods, social inclusion, liveability, energy transition, and circular economy. He develops GIS and geo-database solutions with a user centred approach, including spatial analysis, network analysis, machine learning and visualisation methods. The research leverages the potential of open data, open source following an open science approach.
He teaches GIS, sustainable mobility, and data science in various courses, and is involved in master and PhD supervision.