Modeling and Analytics on Predictive Systems

At MAPS Lab, we explore the frontiers of spatiotemporal data analytics and modeling. We perform at the intersection of network science, computational science, and machine learning, focusing on spatiotemporal forecasting and analytics, network visualization and mining, routing problems, and the intertwining of those topics. We specialize in developing cutting-edge models and algorithms to address univariate, multivariate, and panel data challenges.

About the Faculty

The Faculty of Computer Science - FCS at Dalhousie University - DAL was established in 1997 and is the leading information technology research and education institution in Atlantic Canada. Its research portfolio includes Big Data Analytics, Artificial Intelligence, Human-Computer Interaction, Visualization and Computer Graphics, Computer Systems, Algorithms & Bioinformatics, Networking, Security, and Computer Science Education. With around 70 faculty members, the FCS collaborates with national and international partners in sectors like oceans, defense, agriculture, and healthcare to tackle real-world challenges and promote innovation in computer science and its related fields.
Image from David Lasker.

Recent Publications

Joao P. Silva, Erikson J. de Aguiar, Gabriel Spadon, Agma J. M. Traina, Jose F. Rodrigues-Jr (2025) AI-Driven Public Health Surveillance: Analyzing Vulnerable Areas in Brazil Using Remote Sensing and Socioeconomic Data 38th IEEE International Symposium on Computer-Based Medical Systems (CBMS)

Gabriel Spadon, Jay Kumar, Jinkun Chen, Matthew Smith, Casey Hilliard, Sarah Vela, Romina Gehrmann, Claudio DiBacco, Stan Matwin, Ronald Pelot (2024) Maritime Tracking Data Analysis and Integration with AISdb SoftwareX

M. Alam, Gabriel Spadon, Mohammad Etemad, Luis Torgo, E. Milios (2024) Enhancing short-term vessel trajectory prediction with clustering for heterogeneous and multi-modal movement patterns Ocean Engineering

Recent News