Tomaz

Base

First Name

Tomaz

Last Name

Sef

Organisation

"Jozef Stefan" Institute

Type of Organisation

Higher education and research institution

Role

Senior Researcher

Country

Slovenia

Postcode

1000

City

Ljubljana

I am a member of

Participation in an Interreg Alpine Space project before

No

Participation in other EU funded project before

Yes

I would like to

Find a partner for a call for proposals, Find a project to be involved in, Find a specific expertise, Other

I am interested in

Biodiversity and green infrastructure (Priority 1), Energy efficiency and greenhouse gas emissions reduction (Priority 2), Circular and resource efficient economy (Priority 2), Research and innovation capacities (Priority 3), Digitalisation (Priority 3)

Field(s) of expertise

Energy efficiency, Heritage and tourism, Transport and mobility, Education and training, ICT and digitalisation, Health and social services

About

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, language technologies 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.

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. in security or medical tasks.

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

We apply artificial intelligence methods to data from life sciences to identify biomarkers, build predictive models and obtain other insights.

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.

Virtual assistants communicate with humans through natural communication. We also design advanced (Slovenian) text-to-speech systems and speech-understanding modules.