Publications

Recent Publications | Google Scholar

2026

• • MoCo-AIS: A Contrastive Learning Framework for Similarity Computation of Vessel Trajectories

Ruixin Song, Md Mahbub Alam, Z. Sadeghi, A. Soares, José F. Rodrigues-Jr, and Gabriel Spadon

[Under review] [Preprint]

• Scalable Multi-vessel Trajectory Prediction for Interaction-Aware Collision Risk Assessment

Md Mahbub Alam, José F. Rodrigues-Jr, and Gabriel Spadon

[Under review] [Preprint]

• • Spatio-temporal Learning of Vessel Mobility Patterns for Proactive Collision Avoidance

Md Mahbub Alam

PhD Dissertation Showcase, 27th IEEE International Conference on Mobile Data Management (IEEE MDM), 2026 

[PDF]

• Physics-Informed Vessel Trajectory Prediction via Finite Difference Kinematic Losses

Md Mahbub Alam, Amilcar Soares, José F. Rodrigues-Jr, and Gabriel Spadon

[Under review at GeoInformatica] – Extended SSTD 2025 Paper 

[Preprint]

2025

• • Goal-Conditioned Reinforcement Learning for Data-Driven Maritime Navigation

Vaishnav Vaidheeswaran, Dilith Jayakody, Samruddhi Mulay, Anand Lo, Md Mahbub Alam, and Gabriel Spadon 

The 13th IEEE International Conference on Big Data, 2025 (IEEE Big Data 2025) [Acceptance rate 18.7%] 

[PDF]

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

Gabriel Spadon, Ruixin Song, Vaishnav Vaidheeswaran, Md Mahbub Alam, Floris Goerlandt, and Ronald Pelot

The 9th International Workshop on Applications of Big Data Methods and Technology in the Transport Industry, 2025 (IEEE Big Data 2025) 

[PDF] 

• • 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, and Gabriel Spadon

The 19th International Symposium on Spatial and Temporal Data, 2025 (SSTD 2025) [Selected among best SSTD 2025 research papers] 

[PDF]

2024

• • Enhancing Short-term Vessel Trajectory Prediction with Clustering for Heterogeneous and Multi-modal Movement Patterns

Md Mahbub Alam, Gabriel Spadon, Mohammad Etemad, Luis Torgo, and Evangelos Milios

Ocean Engineering, 2024 

[PDF]

2022

• • A Clustering-based Approach for Predicting the Future Location of a Vessel

Md Mahbub Alam and Luis Torgo

The 35th Canadian Conference on Artificial Intelligence, 2022 (Canadian AI 2022)

[PDF]

2021

• • A Survey on Spatio-temporal Data Analytics Systems

Md Mahbub Alam, Luis Torgo, and Albert Bifet

ACM Computing Survey, 2021 

[PDF]

2019

• • Toward Efficient Processing of Spatio-temporal Workloads in a Distributed In-memory System

Puya Memarzia, Maria Patrou, Md Mahbub Alam, Suprio Ray, Virendra C. Bhavsar, and Kenneth B. Kent

The 20th IEEE International Conference on Mobile Data Management, 2019 (IEEE MDM 2019) [Acceptance rate 29%] 

[PDF]

2018

• • A Performance Study of Big Spatial Data Systems

Md Mahbub Alam, Suprio Ray, and Virendra C. Bhavsar

The 7th ACM SIGSPATIAL International Workshop on Analytics for Big Geospatial Data, 2018 (BigSpatial 2018)

[PDF]

• • DISTIL: A Distributed In-Memory Data Processing System for Location-Based Services

Maria Patrou, Md Mahbub Alam, Puya Memarzia, Suprio Ray, Virendra C. Bhavsar, Kenneth B. Kent, and Gerhard W. Dueck

The 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2018 

[PDF]