Sašo Džeroski is a scientific councilor (senior researcher) at JSI, full professor at the Jozef Stefan International Postgraduate School, and visiting professor at the European Space Agency. He is a fellow of EurAI, the European Association of AI, in recognition of his "Pioneering Work in the field of AI”. He is a member of the Macedonian Academy of Sciences and Arts and a member of Academia Europea.
His work focusses on the topic of Artificial Intelligence for Science. His group has developed machine learning methods that learn explainable models from complex data in the presence of domain knowledge: These include methods for multi-target prediction, semi-supervised and relational learning, and learning from data streams. His group has also developed methods for computational scientific discovery, including methods that learn explainable models of dynamical systems. The developed methods, released in open-source software (e.g., CLUS, iSOUP/ MOA, ProBMoT), have been used to solve important problems in science and society, including agriculture and environmental sciences, medicine and life sciences, physics and material sciences, and space operations/Earth observation.
The work of Professor Džeroski has been extensively published in more than 250 journal papers and more than 300 conference papers.