Affiliation: University of Copenhagen, Denmark
Supervision: Prof. Christina Lioma
Project: Characterising Uncertainty in Feature Extraction for Document Ranking
Lucas Lima holds an MSc in Computer Science from Federal University at Minas Gerais (2018), Brazil. He also has a BSc in Computer Science from Federal University at São João del Rei (2016) with additional courses from State University of New York at Fredonia, USA. Now, he is starting his first-year Ph.D. as a student at the University of Copenhagen, as well as an Early Stage Researcher (ESR) in the QUARTZ project.
His current and future research interests include (but not limited) Information Retrieval, Ranking Models, Machine Learning, Natural Language Processing, IR Tasks (Complex Search Tasks) and Deep Learning. His current goal is to investigate and propose mathematical tools for considering and quantifying the degree of uncertainty in probability estimates of document features that are used for ranking.