activity
20162026
most citedPay Attention to Evolution: Time Series Forecasting with Deep Graph-Evolution Learning

79 citations · 332 across the 27 of their papers we have counts for

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Showing 2025Show all

6 papers · 1 filter

cs.CE2025

A Theoretical Framework for Environmental Similarity and Vessel Mobility as Coupled Predictors of Marine Invasive Species Pathways

Gabriel Spadon, Vaishnav Vaidheeswaran, Claudio DiBacco

Marine invasive species spread through global shipping and generate substantial ecological and economic impacts. Traditional risk assessments require detailed records of ballast wa…

cs.HC2025★ 1 cited

Community-Centered Spatial Intelligence for Climate Adaptation at Nova Scotia's Eastern Shore

Gabriel Spadon, Oladapo Oyebode, Camilo M. Botero +3

This paper presents an overview of a human-centered initiative aimed at strengthening climate resilience along Nova Scotia's Eastern Shore. This region, a collection of rural villa…

cs.LG2025

Goal-Conditioned Reinforcement Learning for Data-Driven Maritime Navigation

Vaishnav Vaidheeswaran, Dilith Jayakody, Samruddhi Mulay +3

Routing vessels through narrow and dynamic waterways is challenging due to changing environmental conditions and operational constraints. Existing vessel-routing studies typically…

cs.RO2025

Multi-vessel Interaction-Aware Trajectory Prediction and Collision Risk Assessment

Md Mahbub Alam, Jose F. Rodrigues-Jr, Gabriel Spadon

Accurate vessel trajectory prediction is essential for enhancing situational awareness and preventing collisions. Still, existing data-driven models are constrained mainly to singl…

stat.AP2025

Modeling Maritime Transportation Behavior Using AIS Trajectories and Markovian Processes in the Gulf of St. Lawrence

Gabriel Spadon, Ruixin Song, Vaishnav Vaidheeswaran +3

Maritime transportation is central to the global economy, and analyzing its large-scale behavioral data is critical for operational planning, environmental stewardship, and governa…

cs.LG2025★ 14 cited

Physics-Informed Neural Networks for Vessel Trajectory Prediction: Learning Time-Discretized Kinematic Dynamics via Finite Differences

Md Mahbub Alam, Amilcar Soares, José F. Rodrigues-Jr +1

Accurate vessel trajectory prediction is crucial for navigational safety, route optimization, traffic management, search and rescue operations, and autonomous navigation. Tradition…