Ocean Data Analytics Lab

The Ocean Data Analytics (ODA) Lab is a research group lead by Luis Torgo that is part of the Institute for Big Data Analytics at Dalhousie University.

The mission of this Lab is to use the power of Data Science to benefit the economic, environmental, regulatory, and social aspects of the Ocean.

Our areas of interest include Spatiotemporal Analytics, Rare Events and Forecasting. We study these topics using a multitude of Machine Learning and Aritificial Intelligence methods. We have a multidisciplinary team of researchers, and are always searching for new members that share our excitment about these areas of research.

Main Activities

Research

Carry out basic research useful for Ocean Data Analytics

Training

Supervise Graduate Students

Collaboration

Research Projects in collaboration with the Ocean Industry

The Team

Leader

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Luis Torgo

Canada Research Chair and Professor of Computer Science

Senior Researchers

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Stan Matwin

Canada Research Chair and Professor

Machine Learning and Data Mining, Text Mining, Bioinformatics, Data Privacy

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Evangelos Milios

University Research Professor and DeepSense Scientific Director

Visual Text Analytics, Modelling and Mining of Networked Information Spaces, Text Mining, Graph Mining, Social Network Analysis

Research Associates

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Vitor Cerqueira

Post Doctoral Fellow

Time Series Forecasting, Activity Monitoring

Grad Students

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Francisco Pascoal

PhD Student

Rare biosfere, Polar environments, Molecular methods

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Md Mahbub Alam

PhD Student

Big Data, Spatiotemporal data analysis

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Mariana Oliveira

PhD Student

Forescasting with Dependent Data

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Amruth Sagar Kuppili

MSc Student

Forecasting oceanographic parameters

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Vishnu Kandimalla

MSc Student

Image Classification and Object Tracking

Collaborators

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Jonathan Grant

NSERC-Cooke Industrial Research Chair and Professor of Oceanography

Aquaculture ecosystems, Fish farming, Modelling, Benthic Ecology

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Catarina Magalhaes

Senior Researcher

Microbial ecology, Marine Biogeochemistry, Polar Environments

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Luc Comeau

Research Scientist

Bivalve ecophysiology, Aquaculture husbandry practices, Ecological carrying capacity

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Ramon Filguera

Assistant Professor

Aquaculture, Ecosystem modelling, Aquaculture management and practices

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Kristina Boerder

Postdoctoral Fellow

Marine Protected Areas, Marine Conservation, Fisheries, AIS, Vessel Tracking

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Amilcar Soares

Assistant Professor

Spatiotemporal data enrichment, Segmentation, Classification, Clustering, Visualization

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Rita Ribeiro

Assistant Professor

Utility-based Learning, Rare events, Imbalanced distributions

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Paula Branco

Assistant Professor, U. Ottawa

Utility-based Learning, Imbalanced distributions

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Collin Bellinger

NRC Research Officer

Learning from rare classes and cases, Resampling methods, Active learning, AI applications in medicine, health and the environment

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Inês Areosa Rodrigues

Data Analyst

Interpretability in Machine Learning, Regression models

Featured Projects

Nitrolimit

Life at the Edge - Define the Boundaries of the Nitrogen Cycle in the Extreme Antarctic Environments

DeepSense

A solution for data analytics in the ocean economy

MarinEye

A Prototype for a Multitrophic Ocean Monitoring

Projects

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Nitrolimit

Life at the Edge - Define the Boundaries of the Nitrogen Cycle in the Extreme Antarctic Environments

DeepSense

A solution for data analytics in the ocean economy

MarinEye

A Prototype for a Multitrophic Ocean Monitoring

Mussels

Analyzing the role of mussels as biosentinels in aquaculture farms

CORAL

Sustainable Ocean Exploitation, Tools and Sensors

MORWAQ

Monitoring and Predicting Water Quality Parameters

MODAL

Models for Predicting Algae Blooms in River Douro

Contact

  • ltorgo@dal.ca
  • Golberg Computer Science Building, 6050 University Av., Halifax, NS B3H 1W5
  • Enter Building and take the elevator to Office 435 on Floor 4