Martin Gjoreski

Martin Gjoreski

Postdoc
Università della Svizzera italiana

Martin Gjoreski is an Ambizione Fellow supported by the Swiss National Science Foundation (SNSF) and a Scientific Collaborator at the People-Centered Computing Lab, within the Faculty of Informatics at Università della Svizzera italiana (USI). His primary research areas are artificial intelligence — specifically machine learning, federated learning, and explainable AI (XAI) — applied to wearable computing, affective computing, and digital healthcare.

Education & recognition

Martin earned his PhD in Computer Science from the Jožef Stefan Institute in Slovenia under the supervision of Profs. Matjaž Gams and Mitja Luštrek. His doctoral thesis received the Jožef Stefan golden emblem, awarded to outstanding PhD theses in Slovenia. In 2021 he was included in the list of the top 2% scientists in the world for single-year impact.

Professional service

  • Associate Editor, ACM IMWUT (Interactive, Mobile, Wearable and Ubiquitous Technologies)
  • Board Member, Global SNSF Fellows Network
Publications
Martin Gjoreski, Matjaz Gams, Mitja Lustrek, Pelin Genc, Jens-Uwe Garbas, Teena Hassan (2020). Machine Learning and End-to-End Deep Learning for Monitoring Driver Distractions From Physiological and Visual Signals. IEEE Access.
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Martin Gjoreski, Anton Gradisek, Borut Budna, Matjaz Gams, Gregor Poglajen (2020). Machine Learning and End-to-End Deep Learning for the Detection of Chronic Heart Failure From Heart Sounds. IEEE Access.
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Tine Kolenik, Martin Gjoreski, Matjaz Gams (2020). PerMEASS - Personal Mental Health Virtual Assistant with Novel Ambient Intelligence Integration. Proceedings of the First International AAI4H - Advances in Artificial Intelligence for Healthcare Workshop co-located with the 24th European Conference on Artificial Intelligence (ECAI 2020), Santiago de Compostela, Spain, September 4, 2020.
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Stefan Kalabakov, Simon Stankoski, Nina Resçiç, Ivana Kiprijanovska, Andrejaana Andova, Clément Picard, Vito Janko, Martin Gjoreski, Mitja Lustrek (2020). Tackling the SHL challenge 2020 with person-specific classifiers and semi-supervised learning. UbiComp/ISWC ‘20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, Virtual Event, Mexico, September 12-17, 2020.
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Veljko Pejovic, Martin Gjoreski, Christoph Anderson, Klaus David, Mitja Lustrek (2020). Toward Cognitive Load Inference for Attention Management in Ubiquitous Systems. IEEE Pervasive Comput..
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Niels van Berkel, Anja Exler, Martin Gjoreski, Tine Kolenik, Tadashi Okoshi, Veljko Pejovic, Aku Visuri, Alexandra Voit (2020). UbiTtention 2020: 5th International Workshop on Smart & Ambient Notification and Attention Management. UbiComp/ISWC ‘20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers, Virtual Event, Mexico, September 12-17, 2020.
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