Alessandra RAFFAETA'

Alessandra RAFFAETA' serves as Associate Professor in the Department of Environmental Sciences, Informatics and Statistics at Ca' Foscari University of Venice, where her research bridges computer science with environmental applications through advanced mobility data analytics.

Her research expertise spans several interconnected domains:

• Mobility Data Analytics and Trajectory Pattern Recognition
• Semantic Trajectories and Spatiotemporal Modeling
• Big Data Processing for Environmental Monitoring
• Marine Noise Pollution and Fisheries Management
• Privacy-Preserving Data Mining and Ethical Considerations
• Urban Mobility and Tourist Behavior Analysis

Dr. RAFFAETA's scholarly output demonstrates a clear evolution from theoretical foundations in constraint logic programming to practical environmental applications. Her recent work (2021-2025) shows increasing focus on marine environmental challenges, particularly underwater noise characterization through semantic trajectories and analysis of fishing activities in the Adriatic Sea. A notable trend is her growing attention to ethical dimensions of mobility data usage, reflecting the field's maturation and societal implications.

Her research methodology combines advanced trajectory data warehousing techniques with machine learning to extract meaningful patterns from complex spatiotemporal datasets. She has developed specialized frameworks for visual OLAP analysis on trajectory data and semantic enrichment of mobility information, with applications ranging from marine conservation to urban planning.

Dr. RAFFAETA' actively contributes to the mobility data analytics community through workshops like the International Workshop on Big Mobility Data Analytics (BMDA) and collaborative research addressing real-world environmental challenges. Her work with marine scientists on fishing vessel tracking and with urban planners on Venice tourism patterns demonstrates strong interdisciplinary collaboration.

Her laboratory work likely involves trajectory data management systems, semantic enrichment tools, and spatiotemporal analysis frameworks that enable both theoretical exploration and practical environmental monitoring applications.