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
Riccardo Corrias, Martin Gjoreski, Marc Langheinrich (2023). Exploring Transformer and Graph Convolutional Networks for Human Mobility Modeling. Sensors.
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Hristijan Gjoreski, Ifigeneia Mavridou, James Archer, Andrew Cleal, Simon Stankoski, Ivana Kiprijanovska, Mohsen Fatoorechi, Piotr Walas, John Broulidakis, Martin Gjoreski, Charles Nduka (2023). OCOsense Glasses - Monitoring Facial Gestures and Expressions for Augmented Human-Computer Interaction: OCOsense Glasses for Monitoring Facial Gestures and Expressions. Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, CHI EA 2023, Hamburg, Germany, April 23-28, 2023.
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Ivan Fontana, Marc Langheinrich, Martin Gjoreski (2023). GANs for Privacy-Aware Mobility Modeling. IEEE Access.
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Shkurta Gashi, Lidia Alecci, Martin Gjoreski, Elena Di Lascio, Abhinav Mehrotra, Mirco Musolesi, Maike E. Debus, Francesca Gasparini, Silvia Santini (2022). Handling Missing Data For Sleep Monitoring Systems. 10th International Conference on Affective Computing and Intelligent Interaction, ACII 2022, Nara, Japan, October 18-21, 2022.
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Enqi Fu, Matías Laporte, Cindy Guerrero Toro, Martin Gjoreski, Marc Langheinrich (2022). Affect and Learning in the LAUREATE Dataset. Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2022, Cambridge, United Kingdom, September 11-15, 2022.
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Matías Laporte, Daniele Gasparini, Martin Gjoreski, Marc Langheinrich (2022). Exploring LAUREATE - the Longitudinal multimodAl stUdent expeRience datasEt for AffecT and mEmory research. Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2022, Cambridge, United Kingdom, September 11-15, 2022.
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Matías Laporte, Enqi Fu, Martin Gjoreski, Marc Langheinrich (2022). Introduction of the LAUREATE dataset: the Longitudinal multimodAl stUdent expeRience datasEt for AffecT and mEmory research. Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2022, Cambridge, United Kingdom, September 11-15, 2022.
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Ivana Kiprijanovska, Bojan Jakimovski, Petar Krstevski, Simon Stankoski, Ifigeneia Mavridou, Charles Nduka, Hristijan Gjoreski, Martin Gjoreski (2022). Monitoring Valence with Facial EMG Sensors using Machine Learning. Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2022, Cambridge, United Kingdom, September 11-15, 2022.
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Alessandro Pogliaghi, Elena Di Lascio, Shkurta Gashi, Emanuela Piciucco, Silvia Santini, Martin Gjoreski (2022). Multi-task Learning for Stress Recognition. Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2022, Cambridge, United Kingdom, September 11-15, 2022.
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Ifigeneia Mavridou, James Archer, Andrew Cleal, Mohsen Fatoorechi, Simon Stankoski, Ivana Kiprijanovska, John Broulidakis, Martin Gjoreski, Charles Nduka, Hristijan Gjoreski (2022). OCOsense Glasses for Facial Expressions Recognition and Contextual Affective Computing in Real World and Augmented Reality. Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers, UbiComp/ISWC 2022, Cambridge, United Kingdom, September 11-15, 2022.
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Martin Gjoreski, Matías Laporte, Marc Langheinrich (2022). Toward privacy-aware federated analytics of cohorts for smart mobility. Frontiers Comput. Sci..
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Piotr Romashov, Martin Gjoreski, Kacper Sokol, Maria Vanina Martinez, Marc Langheinrich (2022). BayCon: Model-agnostic Bayesian Counterfactual Generator. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, IJCAI 2022, Vienna, Austria, 23-29 July 2022.
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Castro Elizondo Jose Ezequiel, Martin Gjoreski, Marc Langheinrich (2022). Federated Learning for Privacy-Aware Human Mobility Modeling. Frontiers Artif. Intell..
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Martin Gjoreski, Vladimir Kuzmanovski, Marko Bohanec (2022). BAG-DSM: A Method for Generating Alternatives for Hierarchical Multi-Attribute Decision Models Using Bayesian Optimization. Algorithms.
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Stefan Kalabakov, Simon Stankoski, Ivana Kiprijanovska, Andrejaana Andova, Nina Resçiç, Vito Janko, Martin Gjoreski, Matjaz Gams, Mitja Lustrek (2022). What Actually Works for Activity Recognition in Scenarios with Significant Domain Shift: Lessons Learned from the 2019 and 2020 Sussex-Huawei Challenges. Sensors.
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Simon Stankoski, Ivana Kiprijanovska, Ifigeneia Mavridou, Charles Nduka, Hristijan Gjoreski, Martin Gjoreski (2022). Breathing Rate Estimation from Head-Worn Photoplethysmography Sensor Data Using Machine Learning. Sensors.
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Ivana Kiprijanovska, Borjan Sazdov, Martin Majstoroski, Simon Stankoski, Martin Gjoreski, Charles Nduka, Hristijan Gjoreski (2022). Facial Expression Recognition using Facial Mask with EMG Sensors. Proceedings of VR4Health - Workshop on Virtual Reality for Health and Wellbeing co-located with 21st International Conference on Mobile and Ubiquitous Multimedia (MUM 2022), Lisboa, Portugal, November 27th, 2022.
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Matías Laporte, Preety Baglat, Shkurta Gashi, Martin Gjoreski, Silvia Santini, Marc Langheinrich (2021). Detecting Verbal and Non-Verbal Gestures Using Earables. UbiComp/ISWC ‘21: 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2021 ACM International Symposium on Wearable Computers, Virtual Event, September 21-25, 2021.
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Hristijan Gjoreski, Ifigeneia I. Mavridou, Mohsen Fatoorechi, Ivana Kiprijanovska, Martin Gjoreski, Graeme Cox, Charles Nduka (2021). emteqPRO: Face-mounted Mask for Emotion Recognition and Affective Computing. UbiComp/ISWC ‘21: 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2021 ACM International Symposium on Wearable Computers, Virtual Event, September 21-25, 2021.
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Stefan Kalabakov, Martin Gjoreski, Hristijan Gjoreski, Matjaz Gams (2021). Analysis of Deep Transfer Learning Using DeepConvLSTM for Human Activity Recognition from Wearable Sensors. Informatica (Slovenia).
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Martin Gjoreski (2021). A Method for Combining Classical and Deep Machine Learning for Mobile Health and Behavior Monitoring. Informatica (Slovenia).
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Rok Piltaver, Mitja Lustrek, Saso Dzeroski, Martin Gjoreski, Matjaz Gams (2021). Learning comprehensible and accurate hybrid trees. Expert Syst. Appl..
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Martin Gjoreski, Bhargavi Mahesh, Tine Kolenik, Jens-Uwe Garbas, Dominik Seuss, Hristijan Gjoreski, Mitja Lustrek, Matjaz Gams, Veljko Pejovic (2021). Cognitive Load Monitoring With Wearables-Lessons Learned From a Machine Learning Challenge. IEEE Access.
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Maciej Dziezyc, Martin Gjoreski, Przemyslaw Kazienko, Stanislaw Saganowski, Matjaz Gams (2020). Can We Ditch Feature Engineering? End-to-End Deep Learning for Affect Recognition from Physiological Sensor Data. Sensors.
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Martin Gjoreski, Vito Janko, Gasper Slapnicar, Miha Mlakar, Nina Resçiç, Jani Bizjak, Vid Drobnic, Matej Marinko, Nejc Mlakar, Mitja Lustrek, Matjaz Gams (2020). Classical and deep learning methods for recognizing human activities and modes of transportation with smartphone sensors. Inf. Fusion.
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