Stockholm university

Research project Decision-making in Critical Societal Infrastructures (DEMOCRITUS)

AI and data-driven autonomous decision-making will play a leading role in the digitalization of critical infrastructures for electricity, water, and transportation. This project explores our future smart societies.

Figure from the research project DEMOCRITUS

The digitalization of critical infrastructures such as water distribution networks, urban transportation, and power systems is expected to drastically improve the sustainability and efficiency of future smart societies. They must also be able to make informed decisions under strict safety and security requirements in real-time – one simple error can have devastating consequences.

This technical revolution is driven by advances in networked sensing, computing, and actuating devices that collect data used to monitor, connect, and control their physical environment. The key challenge addressed in this project is how we design distributed AI and machine learning algorithms for intelligent decision making in these systems.

The team consists of experts from KTH, SU, and RISE with research experience in network design and optimization, learning and decision making, security of cyber-physical systems, and large-scale experimentation. The work is carried out together with Stockholm Vatten, WaterCentre@KTH and Ericsson/S&T.

Project members

Project managers

Sindri Magnússon

Senior lecturer

Department of Computer and Systems Sciences
Sindri

Viktoria Fodor

Division of Network and Systems Engineering, KTH

Henrik Sandberg

Decision and Control Systems, KTH

Carlo Fischione

Division of Network and Systems Engineering, KTH

Rolf Stadler

Division of Network and Systems Engineering, KTH

Johan Karlsson

Optimisation and Systems Theory, KTH

Bengt Ahlgren

Research Institutes of Sweden (RISE)

Members

Shubham Vaishnav

PhD student

Department of Computer and Systems Sciences
Shubham-Photo