معرفی
Michela Quadrini is an Assistant Professor at the University of Camerino with expertise spanning Bioinformatics, Computational Biology, and Graph Neural Networks. Her academic work focuses on RNA structure analysis, human activity recognition, and formal methods for collective adaptive systems.
Research Interests include:
- RNA pseudoknots comparison and classification
- Machine learning applications in biomedical signal processing
- Spatial logics for complex system modeling
- Protein-protein interaction site prediction
- Ontology-based frameworks for activity recognition
Publications demonstrate methodological innovation across:
- RNA structure alignment and translation tools (TARNAS)
- Graph neural network programming languages (μG)
- Stress detection from wearable sensor data
- Formal verification of collective systems
- Immunoinformatics feature engineering
Technical Expertise combines computational biology with advanced machine learning techniques, evidenced by contributions to:
- Topological data analysis for RNA structures
- Convolutional neural network architectures
- Semantic ontologies in mechatronic systems
- Integral equation numerical methods
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