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
Leonardo Alchieri, Matteo Garzon, Lidia Alecci, Francesco Bombassei De Bona, Martin Gjoreski, Giovanni de Felice, Silvia Santini (2026). A foundation model for electrodermal activity data. CoRR.
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Dario Fenoglio, Pasquale Polverino, Jacopo Quizi, Martin Gjoreski, Marc Langheinrich (2026). ERIS: Enhancing Privacy and Communication Efficiency in Serverless Federated Learning. CoRR.
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Dario Fenoglio, Arianna Casanova, Francesco De Santis, Mohan Li, Gabriele Dominici, Johannes Schneider, Martin Gjoreski, Marc Langheinrich, Pietro Barbiero, Giovanni de Felice (2026). Federated Concept-Based Models: Interpretable models with distributed supervision. CoRR.
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Dario Fenoglio, Daniil E. Kirilenko, Martin Gjoreski, Marc Langheinrich (2026). Federated Learning with Energy-Based Structured Probabilistic Inference. CoRR.
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Mohan Li, Dario Fenoglio, Martin Gjoreski, Marc Langheinrich (2026). Federated Learning with Profile Mapping under Distribution Shifts and Drifts. CoRR.
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Michal Gnacek, Neslihan Özhan, John Broulidakis, Ifigeneia Mavridou, Theodoros Kostoulas, Emili Balaguer-Ballester, Martin Gjoreski, Hristijan Gjoreski, Charles Nduka, Matthew Garner, Erich Graf, Ellen Seiss (2026). Multi-modal physiological markers of arousal induced by CO2 inhalation in Virtual Reality. Inf. Fusion.
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Francesco Bombassei De Bona, Marcello Mortillaro, Marc Langheinrich, Martin Gjoreski (2026). Platform and Study Design for Adaptive EMA Using Smart Glasses to Monitor Affective States. Proceedings of the 24th Annual International Conference on Mobile Systems, Applications and Services Workshops, MobiSys Workshops 2026, University of Cambridge, Cambridge, United Kingdom, June 21-25, 2026.
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Francesco Bombassei De Bona, Ioana Andreea Câmpanu, Marc Langheinrich, Martin Gjoreski, Georgiana Juravle (2025). Data from \"LIFETRACE: A Longitudinal Multimodal Dataset on Daily Physical Activity, Well-Being, and Habits\" (Version 1). Zenodo.
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Francesco Bombassei De Bona, Ioana Andreea Câmpanu, Marc Langheinrich, Martin Gjoreski, Georgiana Juravle (2025). Data from \"LIFETRACE: A Longitudinal Multimodal Dataset on Daily Physical Activity, Well-Being, and Habits\" (Version 1). Zenodo.
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Zoja Anzur, Klara Zinkovic, Junos Lukan, Pietro Barbiero, Gasper Slapnicar, Mohan Li, Martin Gjoreski, Maike E. Debus, Sebastijan Trojer, Mitja Lustrek, Marc Langheinrich (2025). A Review of Methods for Unobtrusive Measurement of Work-Related Well-Being. Mach. Learn. Knowl. Extr..
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Mohan Li, Martin Gjoreski, Pietro Barbiero, Gasper Slapnicar, Mitja Lustrek, Nicholas D. Lane, Marc Langheinrich (2025). A Survey on Federated Learning in Human Sensing. CoRR.
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Gabriele Dominici, Pietro Barbiero, Mateo Espinosa Zarlenga, Alberto Termine, Martin Gjoreski, Giuseppe Marra, Marc Langheinrich (2025). Causal Concept Graph Models: Beyond Causal Opacity in Deep Learning. The Thirteenth International Conference on Learning Representations, ICLR 2025, Singapore, April 24-28, 2025.
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Gabriele Dominici, Pietro Barbiero, Francesco Giannini, Martin Gjoreski, Giuseppe Marra, Marc Langheinrich (2025). Counterfactual Concept Bottleneck Models. The Thirteenth International Conference on Learning Representations, ICLR 2025, Singapore, April 24-28, 2025.
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Matea Marinova, Emilija Chona, Andrej Kotevski, Borjan Sazdov, Ivana Kiprijanovska, Simon Stankoski, Martin Gjoreski, Charles Nduka, Hristijan Gjoreski (2025). Deep Learning for Facial Expression and Human Activity Recognition Using Smart Glasses. IEEE Access.
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Mandani Ntekouli, Francesco Bombassei De Bona, Martin Gjoreski, Gerasimos Spanakis (2025). Evaluating the Quality of Counterfactual Explanations in Multivariate Time-Series. Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp Companion 2025, Espoo, Finland, October 12-16, 2025.
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Dario Fenoglio, Mohan Li, Pietro Barbiero, Nicholas D. Lane, Marc Langheinrich, Martin Gjoreski (2025). FLUX: Efficient Descriptor-Driven Clustered Federated Learning under Arbitrary Distribution Shifts. CoRR.
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Swathy Satheesan Cheruvalath, Matías Laporte, Francesco Bombassei De Bona, Teena Hassan, Martin Gjoreski (2025). Generating Explanations for Models Predicting Student Exam Performance. Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp Companion 2025, Espoo, Finland, October 12-16, 2025.
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Francesco Bombassei De Bona, Ioana Andreea Câmpanu, Marc Langheinrich, Martin Gjoreski, Georgiana Juravle (2025). LIFETRACE: A Longitudinal Multimodal Dataset on Daily Physical Activity, Well-Being, and Habits. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol..
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Dario Fenoglio, Mohan Li, Davide Casnici, Matías Laporte, Shkurta Gashi, Silvia Santini, Martin Gjoreski, Marc Langheinrich (2025). Multi-Frequency Federated Learning for Human Activity Recognition Using Head-Worn Sensors. CoRR.
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Teague McMillan, Gabriele Dominici, Martin Gjoreski, Marc Langheinrich (2025). Towards Transparent Reasoning: What Drives Faithfulness in Large Language Models?. CoRR.
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Mor Vered, Teena Hassan, Mandani Ntekouli, Sang Won Bae, Martin Gjoreski (2025). XAI for U 2025: 2$nd$ International Workshop on Explainable AI for Ubiquitous, Pervasive and Wearable Computing. Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp Companion 2025, Espoo, Finland, October 12-16, 2025.
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Sebastijan Trojer, Zoja Anzur, Martin Gjoreski, Gasper Slapnicar, Mitja Lustrek (2024). A Feature-Based Approach for Subtle Emotion Recognition in Realistic Scenarios. Companion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp Companion 2024, Melbourne, VIC, Australia, October 5-9, 2024.
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Gabriele Dominici, Pietro Barbiero, Francesco Giannini, Martin Gjoreski, Marc Langheinrich (2024). AnyCBMs: How to Turn Any Black Box into a Concept Bottleneck Model. Joint Proceedings of the xAI 2024 Late-breaking Work, Demos and Doctoral Consortium co-located with the 2nd World Conference on eXplainable Artificial Intelligence (xAI-2024), Valletta, Malta, July 17-19, 2024.
PDF
Gabriele Dominici, Pietro Barbiero, Francesco Giannini, Martin Gjoreski, Marc Langheinrich (2024). AnyCBMs: How to Turn Any Black Box into a Concept Bottleneck Model. CoRR.
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Gabriele Dominici, Pietro Barbiero, Mateo Espinosa Zarlenga, Alberto Termine, Martin Gjoreski, Giuseppe Marra, Marc Langheinrich (2024). Causal Concept Embedding Models: Beyond Causal Opacity in Deep Learning. CoRR.
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