Gabriel Spadon πŸ‡§πŸ‡·
Gabriel Spadon

Assistant Professor

About Me

I am an Assistant Professor at the Faculty of Computer Science at Dalhousie University, Halifax - NS, Canada. I hold a Ph.D. and an MSc in Computer Science from the University of Sao Paulo, Sao Carlos - SP, Brazil. My research focuses on spatio-temporal analytics, time-series forecasting, and complex network mining, with a deep involvement in Data Science & Engineering and GeoInformatics, and a particular interest in mobility and trajectory-related problems.

Interests
  • βš’οΈ Data Mining
  • πŸ€– Machine Learning
  • πŸ”— Complex Networks
  • 🌎 GeoInformatics
Education
  • PhD Computer Science

    USP - University of Sao Paulo

  • MSc Computer Science

    USP - University of Sao Paulo

  • BSc Computer Science

    UNESP - Sao Paulo State University

Recent Publications
(2024). Enhancing short-term vessel trajectory prediction with clustering for heterogeneous and multi-modal movement patterns. Ocean Engineering.
(2024). Enhancing Global Maritime Traffic Network Forecasting with Gravity-Inspired Deep Learning Models. Scientific Reports.
(2024). Multi-Path Long-Term Vessel Trajectories Forecasting with Probabilistic Feature Fusion for Problem Shifting. arXiv preprint arXiv:2310.18948.
(2023). A Data Augmentation Algorithm for Trajectory Data. Proceedings of the 1st ACM SIGSPATIAL International Workshop on Methods for Enriched Mobility Data: Emerging Issues and Ethical Perspectives 2023.
(2023). Unfolding AIS Transmission Behavior for Vessel Movement Modeling on Noisy Data Leveraging Machine Learning. IEEE Access.
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