معرفی
Luca Cosmo is an Associate Professor at the Department of Environmental Sciences, Informatics and Statistics, Ca' Foscari University of Venice. His research focuses on machine learning, graph theory, and their applications in pattern recognition, computer vision, and 3D shape analysis. He has contributed to advancements in graph neural networks, diffusion models for music generation, and spectral methods for shape analysis.
Teaching Activities:
- Machine Learning (Master's and PhD programs)
- Computer Programming and Data Management
- Lab of Information Systems and Analytics
- Data Analytics for Business and Society
Research Interests:
- Graph Neural Networks and their interpretability
- Music generation via diffusion models
- 3D shape analysis using spectral and quantum-inspired methods
- Applications in healthcare and molecular design
Recent Work Trends:
Recent publications emphasize graph-based learning, including novel architectures like GraFix and LESI-GNN, and interdisciplinary applications in music decoding from EEG signals and molecular design. His work bridges theoretical foundations (e.g., spectral geometry) with practical tools for analyzing complex data structures.
Labs/Teams:
Active in the D.A.I.S. department's research groups focused on informatics and statistical methodologies.
