MISSION

The principal goal of the Department of Intelligent Systems is to develop new and use existing methods of artificial intelligence to tackle important societal challenges related to health, environment, energy and other areas. The department also aims to provide advanced intelligent solutions for the industry, nurture young researchers, and promote responsible use of artificial intelligence.

HIGHLIGHTS

One of two grand winners of the $500k XPrize Pandemic Response challenge where participants had to develop methods to propose non-pharmaceutical interventions with best trade-offs between the reduction of COVID-19 infections and socioeconomic cost

Leader in context recognition with wearable sensors and machine learning, as evidenced by victories at international competitions such as Sussex-Huawei Locomotion-Transportation Recognition Challenge, and being awarded for the best achievement in computer science of the year by the Slovenian Research Agency.

RESEARCH AREAS

Agent and multi-agent systems

We study and design agent systems of various kinds, be it multi-agent systems, agents in smart cities, agents as digital twins of humans performing specific roles, e.g. i security or medical tasks.

Contact Matjaž Gams

Ambient intelligence

We interpret sensor data and provide personalized, context-dependent actions in the domains of health, smart spaces and others.

Contact Mitja Luštrek

Computational intelligence

We study evolutionary algorithms for multiobjective optimization, their enhancement through parallel computing and surrogate models, constraint handling in multiobjective optimization, visualization of optimization results, and optimization algorithm benchmarking.

Contact Bogdan Filipič