Head

Igor Kononenko

Igor Kononenko received his Ph.D. in 1990 in computer science from University of Ljubljana, Slovenia. He is the professor at the Faculty of Computer and Information Science in Ljubljana (courses: Algorithms and Data Structures 1, Machine learning, Artificial Intelligence). His research interests include artificial intelligence, machine learning, neural networks and cognitive modeling. He is the (co)author of 225 papers in these fields and 12 textbooks. In 2007 a book was published by Horwood: Igor Kononenko and Matjaž Kukar: Machine Learning and Data Mining: Introduction to Principles and Algorithms. Kononenko is a member of the editorial board of Applied Intelligence and Informatica journals. He was also twice a chair of program committee of International cognitive conference in Ljubljana. Besides artificial intelligence he is interested also in natural intelligence, relation between science and spirituality, and spiritual wisdom.

Staff, Researchers

Marko Robnik Šikonja

Marko Robnik Šikonja, Ph.D., Professor of Computer Science and Informatics, works on machine learning, natural language processing, data mining, network analysis, artificial intelligence, and cognitive modeling. His most notable scientific results concern feature evaluation, ensemble learning, natural language modelling, cross-lingual model transfer, and neuro-symbolic processing. He is (co)author of approximately 150 scientific publications that were cited more than 5000 times. He is author and maintainer of three open source R data mining packages (recent papers, free software), and editorial board member of six journals.

Matjaž Kukar

Matjaž Kukar received his Ph.D. degree in computer science in 2001 from the University of Ljubljana. He has B.Sc. and M.Sc. degrees from the same university. He is an associate professor at the Laboratory for Cognitive Modelling. His research interests include machine learning, data mining and their applications in medicine, ROC analysis, cost-sensitive learning, combinations of classifiers, classification reliability in machine learning, and spatial learning. He is the co-author of the book Machine Learning and Data Mining: Introduction to Principles and Algorithms (with Igor Kononenko) and more than 60 scientific publications in these fields.

Zoran Bosnić

Zoran Bosnić received his B.Sc., M.Sc. and Ph.D. degrees in computer science from the University of Ljubljana in 2001, 2003 and 2007, respectively. He is a professor at the Laboratory for Cognitive Modeling. His research interests include machine learning, in particular mining from data streams, recommender systems, user behavior profiling, and natural language processing. He is a (co)author of more than 50 publications in these fields.

Erik Štrumbelj

Erik Štrumbelj completed his PhD in 2011 at the Faculty of computer and information science, University of Ljubljana. He is an associate professor at the Laboratory for Cognitive Modeling. For his PhD, he was awarded the Jožef Stefan Golden Emblem, in 2015 he received the Young university teachers award from the University of Ljubljana, and in 2016 he was awarded a ARRS research grant for a 3-year project in statistical computation. His research is focused on Bayesian statistics, statistical computation, and statistical methods in machine learning. He also thoroughly enjoys sports, teaching statistics, and comparing things.

Petar Vračar

Petar Vračar received his B.Sc., M.Sc., and PhD. degrees in computer science from the University of Ljubljana in 1999, 2010, and 2017 respectively. He is currently a teaching assistant at the Laboratory of Cognitive Modeling. His research interests include sports forecasting, team sports simulation, data mining, and machine learning based image processing.

Matej Pičulin

Matej Pičulin received his B.Sc. degree in computer science from the University of Ljubljana in 2011 and his PhD in 2018. He is currently a teaching assistant at the Laboratory of Cognitive Modeling. His teachings mainly focuses on databases and algorithms. His research is mainly focused on rule learning using evolutionary computation, specifically ant colony optimization with current focus on learning rule ensembles.

Jana Faganeli

Jana Faganeli Pucer received her B.Sc degree in electrical engineering and Ph.D. in computer science from the University of Ljubljana in 2007 and 2014 respectively. She is currently a researcher and a teaching assistant at the Laboratory of Cognitive Modelling. Her research interests include application of machine learning, statistics and data analysis to environmental data.

Tadej Škvorc

Tadej Škvorc received his B.Sc and M.Sc degrees in computer science from the University of Ljubljana in 2015 and 2017 respectively. He is currently a PhD student of computer science.

Matej Ulčar

Matej Ulčar received his B.Sc degree in physics in 2015 and M.Sc degree in computer science in 2018, both from the University of Ljubljana. He is currently working on EU project Embeddia.

Aleš Papič

Aleš Papič received his B.Sc. and M.Sc. degree in computer and information science from the University of Ljubljana in 2017 and 2019, respectively. Currently, he is a PhD student and a junior researcher. His interests include machine learning and mining from medical data, big data, and high-performance computing.

bojan

Bojan Žunkovič completed his Ph.D. in 2012 at the Faculty of mathematics and physics, University of Ljubljana. Later he was a postdoc researcher at Facultad de Ciencias Físicas y Matemáticas, Universidad de Chile, and SISSA. In 2017 he returned to the University of Ljubljana. First to the Faculty of mathematics and physics and in 2020 to the Faculty of computer and information science. His primary research interests are many-body quantum physics and quantum machine learning.

marko

Marko Zeman received his B.Sc. in 2017 from University in Ljubljana, Faculty of Computer and Information Science. He obtained his M.Sc. degree from the same university in 2020 and throughout the study he also participated in two international exchanges in Denmark and Sweden. Currently, he is a junior researcher and a PhD student, working with deep learning methods, superposition of deep neural networks and the area of continual learning.

ales

Aleš Žagar received his B.Sc. in philosophy from the University of Ljubljana, Faculty of Arts, in 2017. He obtained his M.Sc. in cognitive science from the University of Ljubljana, Faculty of Education, in 2020. Currently, he is working on the RSDO project, focusing on natural language processing with an emphasis on text summarization.

matic

Antonio Zegarra received his BSc in physics at the National University of Engineering (UNI, Lima-Peru, 2012) with thesis about Monte Carlo simulations to study Ising and Heisenberg models, MSc in physics (UNI, Lima-Peru, 2016) with thesis about Particle Identification Algorithms for Minerva Test Beam Experiment at Fermilab, PhD in physics at PUC-Rio (RJ-Brazil, 2021) with thesis about simulations of Topological Insulators. His interests are theory and simulations of quantum many body systems, specially applying machine learning tools, and computational physics.

Matej Klemen

Matej Klemen received his B.Sc. in 2018 and M.Sc. in 2021, from the University of Ljubljana, Faculty of Computer and Information Science. He is currently a PhD student of computer science and a junior researcher. His research interests include deep learning and explanation methods in the domain of natural language.

Visiting members

Peter Mlakar

Peter Mlakar received his BSc and MSc from the Faculty of Computer and Information Science at the University of Ljubljana in 2018 and 2021 respectively. He is now a PhD student at the aforementioned university, collaborating in research with the Slovenian Environment Agency.

Jan Pavlin

Jan Pavlin received his B.S degree in computer science from the University of Ljubljana in 2018. He is currently working on a project for Slovenian Environment Agency.

Greta Gašparac

Greta Gašparac received her BSc degree in Computer and Information Science from the University of Ljubljana in 2018. She is currently a freelancer and actively helping the DataScience@UL-FRI initiative.

Kaja Dobrovoljc

Kaja Dobrovoljc received her B. Sc. Degree in Translation Studies and a PhD in Slovene Studies from the University of Ljubljana in 2011 and 2018, respectively. Her research at the Laboratory of Cognitive Modelling focuses on language data annotation, processing and extraction for a new corpus-based grammar of modern Slovene and other real-world applications.

Domen Košir

Domen Košir received his B.Sc degree in computer science from the University of Ljubljana in 2010. He received his PhD in 2015 from the University of Ljubljana. He is currently employed by Celtra Inc.

Špela Arhar Holdt

Špela Arhar Holdt is currently a researcher at the Laboratory of Cognitive Modelling. Her work is in the field of applied, primarily corpus linguistics. She participated in the creation of different corpus resources for Slovene, together with the development of their annotation systems and interface design. In her linguistic studies, she evolves, applies, and evaluates methodology for different types of corpus analyses. She especially interested in the procedures for extraction and application of corpus data for the needs of language didactics, standardisation, and grammar description. Research-wise, she is also focusing on user studies aiming to identify language problems of Slovene speakers and provide solutions to these problems in the form of user-oriented language resources and tools.

In brief

Head

Prof. dr. Igor Kononenko
Tel.: +386 1 4798 230
e-mail

Staff

Prof. dr. Marko Robnik Šikonja
Tel.: +386 1 4798 241
e-mail

Assoc. Prof. dr. Matjaž Kukar
Tel.: +386 1 4798 235
e-mail

Prof. dr. Zoran Bosnić
Tel.: +386 1 4798 237
e-mail

Assoc. Prof. dr. Erik Štrumbelj
Tel.: +386 1 4798 235
e-mail

as. dr. Petar Vračar
Tel.: +386 1 479 8226
e-mail

as. dr. Matej Pičulin
Tel.: +386 1 479 8226
e-mail

as. dr. Jana Faganeli Pucer
Tel.: +386 1 479 8226
e-mail

Tadej Škvorc
Tel.: +386 1 479 8226
e-mail

Matej Ulčar
Tel.: +386 1 479 8226
e-mail

as. Aleš Papič
Tel.: +386 1 479 8226
e-mail

Bojan Žunkovič
Tel.: +386 1 479 8226
e-mail

Marko Zeman
Tel.: +386 1 479 8226
e-mail

Aleš Žagar
Tel.: +386 1 479 8226
e-mail

Matej Klemen
Tel.: +386 1 479 8226
e-mail

Visiting members

Jan Pavlin
Greta Gašparac
dr. Kaja Dobrovoljc
dr. Domen Košir
Špela Arhar Holdt

Former members

Enja Kokalj
Dr. Anita Valmarska
Kristian Miok
Dr. Gregor Pirš
Matic Kavaš
Tim Smole
dr. Miha Drole
dr. Martin Jakomin
dr. Kaja Zupanc
dr. Ercan Canhasi
dr. Darko Pevec
dr. Luka Šajn
dr. Matjaž Bevk
dr. Aleksander Sadikov
dr. Uroš Pompe
dr. Tatjana Zrimec