The Analytics and AI research group is a multidisciplinary group with expertise within AI for physical processes and industrial systems, focusing on finding the best AI solutions for the industry and the public sector.
The research group specializes in developing advanced computer-based methods and algorithms to model complex physical systems across various disciplines, including geoenergy, electrochemistry, surface water dynamics, and ocean modeling.
The research group specializes in cyber-physical systems for digitalized industrial automation, robotics, and critical infrastructure. Our expertise spans various fields and covers all project phases, from design to validation.
Our research group’s key expertise is in operations research and optimization, using algorithms and quantitative information for decision-making at scale, for topics like planning, scheduling, routing, sequencing, design and timetabling across...
The research group's primary areas are autonomous systems, robotics, estimation, and control. Within these areas, we have expertise in a diverse range of fields, including real-time control, sensor fusion, automated mission planning, motion planning...
We develop trustworthy AI solutions for everything from healthcare and industry to public administration, ensuring transferability across sectors.
Digital twins and mixed reality are reshaping the future of employment.
Algorithms and deep insight lay the foundation for sustainable and efficient solutions in a digital world.
Robotics and autonomy are pawing its way into new usage areas. SINTEF contributes with expertise, technology and infrastructure to create sustainable robotic solutions for both industry and the public sector.
The ESA STARS project explores the feasibility of inter-domain routing algorithms in space-based networks to pave the way to a network convergence between terrestrial and space.
SURFER will support Europe’s energy transition by creating more resilient, decarbonised energy systems by advancing hydrogen electrolysers.
The aim of the project is to explore how civilian 5G technologies can be adopted in defence and international peacekeeping operations to enhance operational effectiveness and interoperability.
The project enables assurance-driven security engineering by combining AI-based assurance services, digital twins, and SecDevOps/MLOps to continuously assess, validate, and improve security and compliance across system lifecycles.
The objective of the feasibility study is to assess the potential for developing and implementing an information system for provision of Assistive Technology (AT) that can be integrated into existing Health and Education Information Systems in Uganda...
Ecosystem Monitoring and Scaling for Climate Change Impacts
To improve the understanding of wind turbine noise generation, propagation and impact on humans, under all Norwegian atmospheric and topographic conditions.
The VOCSimPRO project aims to modernize and expand SINTEF’s simulation tool VOCSim. By implementing it in a modern programming language and developing new methods for calibration and uncertainty analysis, VOCSimPRO will enable emission analysis...
Provide better Arctic oil-spill detection using satellites and real-time monitoring, and enable faster, coordinated response to reduce environmental harm and protect communities.
SINTEF Digital
Mathematics and Cybernetics
P.O. Box 124 Blindern
N-0314 Oslo, Norway
SINTEF Digital
Mathematics and Cybernetics
P.O. Box 4760 Sluppen
N-7465 Trondheim, Norway
Forskningsveien 1, 0373 Oslo, Norway
Strindveien 4, 7034 Trondheim, Norway
Klæbuveien 153, 7031 Trondheim, Norway
