Research Interest

My primary research field is unsupervised learning and data science, particularly in the field of complex systems dynamics. My goal is to build out a theory to provide new approaches to clustering and anomaly detection by applying topological methods (TDA) thus providing a new approach to Topology-based unsupervised learning.

My application domain mainly concerns the medical and biological field (in my PhD thesis I focused on the study of epilepsy and on the analysis of EEG traces). I especially analyze data represented as time series.

I am also interested in more purely educational aspects and I participated in the Erasmus+ Project, Da.Re, where a European curriculum was proposed for a master’s degree in Data Science.

Selected Publications

  1. Zannotti, M., Prenkaj, B., Piangerelli, M., Corradini, F. and Kasneci, G.. CoOunterfactual Reasoning for Temporal EXplanations: Plausible and Robust Explanations for EEG-Based Seizure Detection. Transaction of Machine Learning Research (TMLR) (2026). https://openreview.net/forum?id=FkHVmYnNS9

  2. Chemma, W.D., Mamuye, A.L. and Piangerelli, M.. Multimodal contextual transformer augmented fusion for emotion recognition. \textit{Appl Intell} 55, 1143 (2025). https://doi.org/10.1007/s10489-025-07027-7

  3. Piangerelli, M., Nucci, V., Corradini, F., Giulioni, L., Re, B.. Condition monitoring for pattern recognition in manufacturing. Machine Learning with Applications, 100787. https://doi.org/10.1016/j.mlwa.2025.100787

  4. Corradini, F., Gerosa, F., Gori, M., Lucheroni, C., Piangerelli, M., Zannotti, M. (2025). A systematic literature review of spatio-temporal graph neural network models for time series forecasting and classification. Nerural Networks, 2025,
  5. https://doi.org/10.1016/j.neunet.2025.108269
  6. Abdullahu, E., Wache, H., Piangerelli, M. (2025). Secure and Decentralized Hybrid Multi-Face Recognition for IoT Applications. Sensors, 25, 5880. https://doi.org/10.3390/s25185880
  7. Cruciata, L., Contino, S., Ciccarelli, M., Pirrone, R., Mostarda, L., Papetti, A., Piangerelli, M. (2025). Lightweight Vision Transformer for Frame-Level Ergonomic Posture Classification in Industrial Workflows. Sensors, 25, 4750. https://doi.org/10.3390/s25154750
  8. Corradini, F., Leonesi, M., Piangerelli, M. (2025). State of the Art and Future Directions of Small Language Models: A Systematic Review. Big Data and Cognitive Computing, 9, 189.https://doi.org/10.3390/bdcc9070189
  9. Pelosi, D., Cacciagrano, D., Piangerelli, M. (2025). Explainability and Interpretability in Concept and Data Drift: A Systematic Literature Review. Algorithms, 18, 443. https://doi.org/10.3390/a18070443
  10. Corradini, F., Mozzoni, L., Piangerelli, M., Re, B., Rossi, L. (2025). A Framework for Rapidly Prototyping Data Mining Pipelines. Big Data and Cognitive Computing, 9, 150. https://doi.org/10.3390/bdcc9060150
  11. Corradini, F., Nucci, V., Piangerelli, M., Re, B. (2025). Online Clustering with Interpretable Drift Adaptation to Mixed Features. Intelligent Systems with Applications,200510. https://doi.org/10.1016/j.iswa.2025.200510
  12. Assefa, R., Mamuye, A., Piangerelli, M. (2025). COVID-19 Severity Classification Using Hybrid Feature Extraction: Integrating Persistent Homology, Convolutional Neural Networks and Vision Transformers. Big Data and Cognitive Computing, 9, 83. https://doi.org/10.3390/bdcc9040083
  13. Ahmed, U., Alexopoulos, C., Piangerelli, M., Polini, A. (2024). BRYT: Automated Keyword Extraction for Open Datasets. Intelligent Systems with Applications, 23,200421. https://doi.org/10.1016/j.iswa.2024.200421
  14. Ciccarelli, M., Corradini, F., Germani, M., Menchi, G., Mostarda, L., Papetti, A., Piangerelli, M. (2022). SPECTRE: A Deep Learning Network for Posture Recognition in Manufacturing. Journal of Intelligent Manufacturing. https://doi.org/10.1007/s10845-021-01853-2
  15. De Simone, A., Piangerelli, M. (2020). A Bayesian Approach for Monitoring Epidemics in Presence of Undetected Cases. Chaos, Solitons and Fractals, 140, 110167. https://doi.org/10.1016/j.chaos.2020.110167

ResearchGate

A full list of publications is available at the above ReserchGate link.