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