Providing R&D, Expert Advisory & Consultancy, and Tailored Upskilling services to governmental organisations, companies and academics dealing with Urban Digital Twins, a key component to any Smart City project. Our focus is on spatial data and geometric issues, particularly on data related to 3D GIS, BIM and IoT.

I Provide expert advice and consultancy services to companies and academics dealing with Spatial data and Computational Geometry issues, particularly in domains like 3D GIS, BIM, Urban Digital Twins and Smart City technologies (e.g., IoT).

Lead researcher on Smart Cities concepts (Digital Twin implementation, BIM/GIS integration, 3D Indoor/Outdoor modelling, seamless navigation) at the Geospatial Research Innovation and Development (GRID) Lab of UNSW.

The SIMs3D (sims3d.net) project addresses the lack of up-to-date 3D indoor models for many large public building. This is a problem for many stakeholders, but in particular for organizations that deal with the safety management of public buildings, including BHV (Bedrijfhulpverleners), fire brigade and safety regions. The project aims at bridging research on 3D indoor reconstruction from point clouds, 3D indoor models (geometry, semantics and topology) and 3D indoor navigation for users with various profiles and tasks. The ultimate goal is to develop a rapid and low-cost 3D modelling approach based on discrete point clouds, which understands the principles of interior architectural design and human perception to identify spaces and networks needed for navigation.

The building is a complex system composed by several components. Practically, CAD softwares describe a building by a set of geometrical shapes. However, there is only few simulating tools that use directly such a description of the building object. In most cases, the simulations represent a building by a graph or an equivalent network, i.e. a topological structure made of vertices and connections between them, representing identifiable portions of the building: walls, roofs, slabs, doublings, ... Identifying these entities, building the equivalent graph, extracting dimensional characteristics, ... represent as many difficult problems given the wide variety of data handled. Combinatorial maps provide a simple and effective formalism to describe a complex geometry from its topological structure. Such structure codes firstly the connecting links between vertices, surfaces and volumes, then embed it into a geometric support. The creation, modification or deformation of the representation involves a small number of clearly defined operations, which facilitates transcription of the mathematical formalism into computer software. This work should be part of all strategic software tools developed at CSTB (EVE-BIM, ACOUBAT,...).The goal of this thesis is to conceive and develop the numerical tools allowing:The semi-automatic construction of a combinatorial map representing the model of a building in its immediate surroundings, with the possibility of identifying entire rooms structural elements and components, from CAD data (such as IFC or equivalent) and GIS. The semi-automatic extraction, from the topological/geometric unified description, of different specific representations for different simulation domains: surface envelope of rooms, adjacency graphs and dimensional properties, estimators depending on the nature of the materials...To simplify and/or to enhance the representation of buildings to facilitate the representation of elements at different levels of detail.