Modeling of the Real World

Capturing the complexity of the real world requires innovative modeling approaches that adapt to various settings, such as cities, landscapes, water bodies, and underground environments. In this talk, I will share our latest work on creating 3D representations that not only depict the shapes of these areas but also incorporate their associated semantic information and/or measurements. By using geometry as our foundation, we blend geometric modeling with numerical techniques to develop digital twins that aid in planning, monitoring, predicting, and simulating across urban, landscape, water, and underground contexts. This integrated approach leads to flexible, data-driven solutions for real-world challenges, promoting sustainability and resilience in complex environments.

Bio:

Daniela Cabiddu is researcher at IMATI-CNR Genova. She graduated in Computer Science from the University of Cagliari in September 2012, and she received her PhD in Computer Science in March 2016. Her current research focus is on Computer Graphics and Geometry Modeling for geoscience, fabrication and engineering. She is also interested in parallel/distributed computing infrastructures and graphical interfaces. She has worked in several national and EU founded research projects dealing with digital representations of 3D domains, providing solutions to efficiently generate, encode and reuse high-resolution 3D models and possible embedded heterogeneous information. Thanks to IQmulus EU project, she gained expertise in spatial analysis and geographical information systems, while she is gaining knowledge on environmental (specifically water) monitoring methods thanks to the participation to the Interreg-Maritime project MATRAC-ACP. Her current research activities include 3D modeling, representation and analysis of both underground structures and urban/harbour areas. She is also investigating on virtual/augmented reality and holographic technologies for geoscience applications.