Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
Paper accepted @ Canadian conference on AI 2022; Paper accepted @ BIBM 2020; Paper accepted @ PSBD co-located with IEEE BigData 2020; LIDTA'20 - Tutorial accepted @ ECML/PKDD 2020.
Research Experience
Assistant Professor at EECS, University of Ottawa since January 2020. Courses taught include Databases 1 and (New) Artificial Intelligence for Cybersecurity Applications. Postdoctoral Fellow at Dalhousie University from January 2019 to December 2019, working on Methods for Handling Problems with Domain-specific Utility Preference Biases.
Education
PhD in Computer Science, 2018, MAPi - Joint Doctoral Programme; MSc in Computer Science - Specialization in Data Mining and Advanced Data Processing, 2014, FCUP - University of Porto; Specialization in the MSc Mathematics for School Teachers, 2013, FCUP - University of Porto; Degree in Mathematics - Educational Branch, 2002, FCUP - University of Porto.
Background
Main research interests: Artificial Intelligence, Machine Learning, with a special focus on imbalanced domains, outlier detection, anomaly detection, cost-sensitive and utility-based learning, fraud detection, and cybersecurity.