ICube’s research reflects the expertise of its four departments — focused on computer science, imaging and robotics, electronics and photonics, and mechanics. Interdisciplinary collaboration is structured around six transversal research themes:
Medical and Surgical Imaging and Robotics (IRMC)
The IRMC theme brings together research and development in imaging, robotics, biomechanics, and computer science, with the shared goal of advancing healthcare technologies.
Materials Engineering for Energy and the Environment (IMEE)
The IMEE theme fosters synergy between research teams working on the synthesis, characterization, and modeling of materials, with applications spanning energy, environmental sustainability, and healthcare.
Scientific Computing (CS)
The CS theme focuses on parallel and high-performance computing, real-time computation, numerical methods and optimization, as well as software development and visualization techniques.
Instrumentation, Sensors and Analysis (InCA)
The InCA theme covers the entire instrumentation chain — from sensor design and their integration into complex measurement systems, to data analysis and interpretation — with applications in healthcare and environmental monitoring.
Data Science and Artificial Intelligence (DSAI)
The DSAI theme unites researchers developing and applying artificial intelligence methods across a wide range of data types — including images, videos, and sensor data — and application domains such as healthcare, the environment, and the factory of the future.
Industry of the Future and smart manufacturing (IFUI)
The IFUI theme brings together ICube researchers working across disciplines in engineering sciences applied to emerging industrial processes. Research topics include virtual and augmented reality, mechanics and advanced materials, communication infrastructures and human–cyber–physical systems, cybersecurity, production line instrumentation, artificial intelligence for the industry of the future, and robotics.
