Lorenzo Ceccon

Multidisciplinarity best describes my knowledge path: after my high school classical studies, I trained and worked as a lawyer, holding an MBA to better combine the fields of law and economics. I then followed my passion and interests and graduated in architecture, then following a PhD research path in urban planning. Within this framework, I had the chance to study and work in my home country Italy and abroad, and to be an alumnus of different Universities, including Università degli Studi di Milano (IT), Sheffield Hallam University (UK), Sankt Gallen University (CH), Bauhaus Universität Weimar (DE) and Politecnico di Milano (IT) where I have also been teaching in different courses mostly linked to computational design and digital representation of architecture and urban space.

My current main research interests sits at the crossroad between computational design and the field of architecture and urban planning, especially as regards the use of predictive modelling based on digital data – data and knowledge bases – also through AI and agent-based modelling. Focus both on the architectural field, BIM and H-BIM model fitting and predictive features, and urban planning themes, especially Digital Twin and relational space and the impact thereon by converging technologies such as 5G, IoT and AI.

Given its rich multidisciplinary nature, the mix between the most disruptive technologies and the humanities relating to cultural heritage, I became particularly interested in CHNT, and took part to it both as a speaker and as a session chair. Since 2020 I have the pleasure and honour to be part of its Scientific Committee.