See how advanced simulation enhances nuclear safety

Learn how the UNESCO Chair in Numerical Methods spearheads frontier innovation in the Global South

Overview
Staff
Projects
Publications

CIMNE’s Innovation Unit in Pre, Post, and Digital Technologies (DIGIT) drives applied innovation in simulation, AI, and digital tools, uniting the GiD and TIC groups for impactful research and technology transfer.

Research groups

CIMNE’s Innovation Unit in Pre, Post, and Digital Technologies (DIGIT) brings together two cutting-edge research groups—GiD and TIC—to foster applied innovation with real-world impact. The unit develops advanced digital solutions for the pre- and post-processing of numerical simulations, and integrates state-of-the-art technologies such as Artificial Intelligence (AI), Internet of Things (IoT), Geospatial Information Systems (GIS) and web-based tools for impactful technology transfer.

The GiD Group is behind the development of GiD, CIMNE’s flagship software for universal pre and post-processing in numerical simulations. This team leads research in computational geometry, CAD adaptation, mesh generation (including from 3D image data), and advanced visualization for High-Performance Computing (HPC) environments and cloud systems. GiD is used worldwide across disciplines for its speed, robustness, and versatility.

The TIC Group focuses on the development of innovative services and decision-support systems powered by artificial intelligence, computer vision, internet of things technologies, and modern web and mobile platforms. Their solutions are deployed across diverse sectors, from civil and maritime to agriculture, environment, and biomedical engineering, delivering tangible impact across industries.

By merging multidisciplinary expertise, the DIGIT unit provides solutions to transform data into actionable insights, developing robust digital tools, and fostering collaborations that accelerate innovation for the social good.

Finished projects
Search

Related news

Computer vision for drowning prevention
Computer vision for drowning prevention

LAIF is a predictive aquatic surveillance system that works using computer vision technology. It analyses different patterns of behaviour of people in an aquatic environment and should be able to detect behaviour compatible with drowning. Once detected, it will...



More News