scientific outputs
Theses
Adaptive Interventions and Causal Inference in Digital Health
2025, Dissertation Thesis, University of Bern, Bern, Switzerland
Machine Learning Techniques for Intrusion Detection in Network Security
2020, Master Thesis, Johannes Kepler University, Linz, Austria
First-author publications
Švihrová, R., Petersen, A.H., Marzorati, D., Dei Rossi, A., Gerosa, T., Faraci, F.D.
Fully data-driven causal inference with longitudinal data from wearables
2025, Preprint at TechRxiv, under review
Švihrová, R., Marzorati, D., Odello, T., Monachino, G., Staletti, T., Tieben, R., Luigies, R., Bodewes, N., Rutten, W., Barrett, G., Bhogal, A., Wilkinson, T., Tzovara, A., Faraci, F.D.
CUOREMA: Immersive Bio & Behavioral Feedback and Digital Interventions for Cardiac Rehabilitation – Engagement Analysis
2025, Under review
Švihrová, R., Marzorati, D., Bechný, M., Grossenbacher, M., Ilchenko, Y., Grossenbacher, J., Tzovara, A., Faraci, F.D.
Toward burnout prevention with Bayesian mixed-effects regression analysis of longitudinal data from wearables: a preliminary study
2025, Frontiers in Digital Health - Sec. Digital Mental Health
Švihrová, R., Dei Rossi, A., Marzorati, D., Tzovara, A., Faraci, F.D.
Designing digital health interventions with causal inference and multi-armed bandits: a review
2025, Frontiers in Digital Health
Švihrová, R., Marzorati, D., Dei Rossi, A., Gerosa, T., Faraci, F.D.
Data-driven causal discovery: Insights from a longitudinal study with wearable data.
2025, In Proceedings of the 23rd Conference on Artificial Intelligence in Medicine (AIME 2025)
Švihrová, R., Petersen, A.H., Marzorati, D., Dei Rossi, A., Tzovara, A., Gerosa, T., Faraci, F.D.
Towards Digital Twins with Wearables: A Fully Data-driven Causal Analysis of Lifestyle Effects on Sleep Biomarkers
2025, Journal of Sleep Medicine
Švihrová, R., Marzorati, D., Dei Rossi, A., Faraci, F.D.
Wearable-derived Sleep Digital Biomarkers and Well-being: Preliminary Insights from Longitudinal Observational Study.
2025, Journal of Sleep Medicine
Švihrová, R., Dei Rossi, A., Marzorati, D., Tzovara, A., Faraci, F.D.
Wearables and sleep: effect of circadian rhythm disruption on sleep quality, recovery and well-being,
2024, Journal of Sleep Medicine
Švihrová, R., Dei Rossi, A., Marzorati, D., Bechny, M., Grossenbacher, M., Faraci, F.D.
Towards personalized burnout prevention system: Causal inference approach for understanding the effect of circadian rhythm disruption on well-being,
2024, Journal of Sleep Medicine
Bechný, M. & Švihrová, R., Arango, L.G., Baldassari, A., Ilchenko, Y., Grossenbacher, M., Faraci, F.D.
Towards personalized burnout prevention system: a probabilistic approach for analysis of data from wearable devices with subjective feedback. A preliminary study,
2022, Journal of Sleep Medicine
Švihrová, R., Lettner, Ch.
A semi-supervised approach for network intrusion detection
2020, In Proceedings of the 15th International Conference on Availability, Reliability and Security (pp. 1-6)
Co-authored publications
Marzorati, D., Dei Rossi, A., Švihrová, R., Baldassari, A., Kochergin, V., Grossenbacher, M., Faraci, F.D.
In-the-Wild Data Collection with Digital Apps and Wearable Devices: Insights from a Longitudinal Study on Burnout with Office and Production Workers
2025, SAGE Digital Health - Forthcoming
Dei Rossi, A., Marzorati, D., Švihrová, R., Grossenbacher, J., Kochergin, V., Grossenbacher, M., Faraci, F.D.
Climbing the ladder: a ranking approach to burnout prediction
2025, Frontiers in Digital Health
Dei Rossi, A., Marzorati, D., Gerosa, T., Švihrová, R., Santini, S., Faraci, F.D.
Unobtrusive Perceived Sleep Quality Monitoring In The Wild
2025, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT)
Marzorati, D., Dei Rossi, A., Švihrová, R., Grossenbacher, M., Faraci, F.D.
Burnout risk prediction through wearable devices: An initial assessment
2025, In Proceedings of 47th International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Dei Rossi, A., Marzorati, D., Švihrová, R., Bechny, M., Santini, S., Faraci, F.D.
Modeling Perceived Sleep Quality Through Objective and Subjective Data
2025, 12th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW)
Presentations
| Talks |
| 09/2024 | Wearables and Sleep: Effect of circadian rhythm disruption on sleep quality, recovery and well-being |
| Giornata della Ricerca e dell’Innovazione in Medicina Umana della Svizzera Italiana, Lugano, Switzerland |
| 09/2024 | AI and Statistics in Medicine - invited talk |
| with Michal Bechný, at AI and Medical Devices Conference, Prague, Czech republic |
| 03/2024 | Personalising adaptive interventions with Machine Learning - invited talk |
| Applied Machine Learning Days (AMLD) at EPFL, Lausanne, Switzerland |
| 09/2023 | Towards better health with wearables (and statistics) |
| 3rd Slovak and Czech Annual Symposium at ETH, Zürich, Switzerland |
| 08/2020 | A Semi-Supervised Approach for Network Intrusion Detection |
| 2nd Workshop on Industrial Security and IoT (WISI), The 15th International Conference on Availability, Reliability and Security (ARES), Dublin, Ireland, online due to pandemic |
| Posters |
| 09/2025 | Towards Digital Twins with Wearables: A Fully Data-driven Causal Analysis of Lifestyle Effects on Sleep Biomarkers |
| World Sleep Congress, 2025, Singapore |
| 09/2025 | Wearable-derived Sleep Digital Biomarkers and Well-being: Preliminary Insights from Longitudinal Observational Study. |
| World Sleep Congress, 2025, Singapore |
| 06/2025 | Data-driven causal discovery: Insights from a longitudinal study with wearable data. |
| 23rd International Conference on AI in Medicine (AIME 2025), Pavia, Italy |
| 04/2025 | Data-driven causal discovery in lifestyle modelling: Insights from a longitudinal study with wearable data. |
| European Causal Inference Meeting (EuroCIM 2025), Ghent, Belgium |
| 09/2024 | Wearables and sleep: effect of circadian rhythm disruption on sleep quality, recovery and well-being |
| 27th Meeting of the European Sleep Research Society, 2024, Seville, Spain |
| 03/2024 | Towards better sleep with wearables and statistics: Understanding the effect of circadian rhythm disruption on sleep quality and well-being |
| Applied Machine Learning Days (AMLD 2024) at EPFL, Lausanne, Switzerland |
| 10/2023 | Towards personalized burnout prevention system: Causal inference approach for understanding the effect of circadian rhythm disruption on well-being |
| World Sleep Congress, 2023, Rio de Janeiro, Brazil |
| 09/2022 | Towards personalized burnout prevention system: a probabilistic approach for analysis of data from wearable devices with subjective feedback. A preliminary study |
| 26th Meeting of the European Sleep Research Society, 2022, Athens, Greece |