معرفی
Gabriel Spadon is an Assistant Professor in the Faculty of Computer Science at Dalhousie University, Halifax, Canada. He leads the MAPS Lab (Modeling and Analytics on Predictive Systems), focusing on spatiotemporal analytics, network science, and machine learning. His work is part of the Big Data Analytics, AI & Machine Learning research cluster.
Education:
- PhD in Computer Science and Computational Mathematics, University of São Paulo (USP), 2021
- MSc in Computer Science and Computational Mathematics, University of São Paulo (USP), 2017
- BSc in Computer Science, São Paulo State University (UNESP), 2015
Research Interests:
Gabriel Spadon’s research lies at the intersection of data science, machine learning, and geoinformatics. He specializes in spatiotemporal forecasting, complex network mining, and trajectory modeling, particularly in maritime and urban environments. His work integrates physics-informed AI, graph-based learning, and environmental data to improve predictive accuracy and decision support. Key domains include vessel movement prediction, environmental monitoring, and urban intelligence.
Recent Publication Trends:
His latest publications (2024–2025) focus on maritime mobility, using AIS data and physics-informed neural networks (PINNs) for vessel trajectory forecasting. He applies deep learning, clustering, and probabilistic fusion to model complex, multi-modal movement patterns. Other themes include fishing activity detection, port network analysis, and AI for public health and climate matching.
Scientific Awards:
Advising and Grants:
Dr. Spadon supervises multiple graduate students and research assistants in the MAPS Lab, working on mobility data mining, physics-informed AI, and geospatial analytics. His research is supported by major grants from the Ocean Frontier Institute (OFI), Canadian Space Agency (CSA), Mitacs, and IMT Atlantique. He leads projects such as smartWhales, AISViz, and Physics-Informed Mobility Forecasting, involving international collaborations with institutions in Brazil and France.
Labs and Teams:
He is the Director of the MAPS Lab, which develops cutting-edge computational methods for predictive systems. The lab collaborates with the smartWhales initiative (DHI, WSP, Fisheries and Oceans Canada), MERIDIAN, and the Institute for Big Data Analytics. His team includes PhD and MCS students working on AI, data mining, and signal processing for real-world ocean and urban challenges.
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