Laura O. Moraes

Biography

Laura O. Moraes is a professor at Universidade Federal do Estado do Rio de Janeiro (UNIRIO). She has a master's degree and a Ph.D. in Systems Engineering and Computer Science at COPPE / UFRJ in the artificial intelligence research field. She graduated in Electronic and Computer Engineering from the Universidade Federal do Rio de Janeiro, during which she acted as a software engineer in the UFRJ-CERN collaboration. From 2011 to 2021, she was a co-founding partner of the data science start-up Twist Systems. In 2018, she participated in the Data Science for Social Good program at the University of Chicago, developing a predictive model to identify individuals at high risk of long-term unemployment. In 2019, she was a finalist for the 2nd EPFL Engineering Ph.D. Summit and presented her doctoral research at École polytechnique fédérale de Lausanne (EPFL), Switzerland. She worked as a lecturer for the MBA in Big Data & Analytics at Fundação Getúlio Vargas in 2019 and 2020 and taught Computer Science classes at Colégio Pedro II.

Interests

  • Computer Science Education

  • Learning Analytics

  • Educational Data Mining

  • Student Performance Prediction

Education

  • PhD in Systems Engineering and Computer Science, 2021, Universidade Federal do Rio de Janeiro

  • MEng in Systems Engineering and Computer Science, 2016, Universidade Federal do Rio de Janeiro

  • BSc in Electronic and Computer Engineering, 2013, Universidade Federal do Rio de Janeiro


Contact

E-mail: laura@uniriotec.br

Github: lauramoraes and laura-moraes

LinkedIn: lofmoraes

Publications

Google Scholar

  • Laura O. Moraes, Carlos Eduardo Pedreira, Carla Delgado, João Pedro Freire (2021). Machine Teaching: uma ferramenta didática e de análise de dados para suporte a cursos introdutórios de programação. Anais do II Simpósio Brasileiro de Educação em Computação, pp. 213-223, 24 a 29 de Abril, 2022, Virtual.
    PDF BIB Code Video Slides DOI

  • Laura O. Moraes, Carlos Eduardo Pedreira, Carla Delgado, João Pedro Freire (2021). Supporting Decisions Using Educational Data Analysis. Anais Estendidos do XXVII Simpósio Brasileiro de Sistemas Multimídia e Web (WebMedia 2021), pp. 99-102, Novembro 2021, Virtual.
    PDF BIB Code Video Slides DOI

  • Chunpai Wang, Shaghayegh Sahebi, Siqian Zhao, Peter Brusilovsky, Laura O. Moraes (2021). Knowledge Tracing for Complex Problem Solving: Granular Rank-Based Tensor Factorization. In Proceedings of the 29th ACM Conference on User Modeling, Adaptation and Personalization (UMAP '21), pp. 179-188, June 21–25, 2021, Utrecht, Netherlands. ACM, New York, NY, USA.
    PDF BIB Code Video DOI

  • Laura O. Moraes, Carlos Eduardo Pedreira (2021). Unsupervised Concept Extraction in an Introduction to Programming Course. PhD Thesis in Systems Engineering and Computer Science - COPPE, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro.
    PDF BIB Code Video Slides

  • Laura O. Moraes, Carlos Eduardo Pedreira (2021). Clustering Introductory Computer Science Exercises Using Topic Modeling Methods. IEEE Transactions on Learning Technologies, vol. 14, no. 1, pp. 42-54, Feb. 2021.
    PDF
    BIB Code DOI

  • Laura O. Moraes, Carlos Eduardo Pedreira (2020). Designing an Intelligent Tutoring System Across Multiple Classes. 4th Educational Data Mining in Computer Science Education (CSEDM), 2020, Virtual Workshop.
    PDF BIB Code Video

  • Laura O. Moraes, Carlos Eduardo Pedreira (2019). A Decision Tree Approach for the Differential Diagnosis of Chronic Lymphoid Leukemias and Peripheral B Cell Lymphomas. Computer Methods and Programs in Biomedicine, v. 178, pp. 85-90.
    BIB Code DOI

  • Íñigo Martínez de Rituerto de Troya, Ruqian Chen, Laura O. Moraes, Pranjal Bajaj, Jordan Kupersmith, Rayid Ghani, Nuno B. Brás, Leid Zejnilovic (2018). Predicting Explaining and Understanding Risk of Long Term Unemployment. 32nd Annual Conference on Neural Information Processing Systems (NeurIPS) AI for Social Good Workshop, Canada.
    PDF BIB

  • Laura O. Moraes, Carlos Eduardo Pedreira (2016). Classificação de Linfomas Utilizando uma Abordagem Baseada em Árvores De Decisão. Dissertação (Mestrado em Engenharia de Sistemas e Computação) - COPPE, Universidade Federal do Rio de Janeiro (UFRJ), Rio de Janeiro.
    PDF BIB Code Slides

  • Louis-Martin Losier, Felipe Fink Grael, Etienne Desgagné, Fábio Hochleitner, Laura O. Moraes (2015). Cloud Based Alert System for Aggressive Natural Disasters. 15th Pan-American Conference on Soil Mechanics and Geotechnical Engineering, Argentina.
    PDF BIB DOI

  • Felipe Fink Grael, Carmen Maidantchik, Luiz Henrique Ramos de Azevedo Évora, Kaio Karam, Laura O. Moraes, Manuela Cirilli, Marzio Nessi, Kathy Pommès (2011). Glance Information System for Atlas Management. Journal of Physics: Conference Series, v. 331, n. 8, p. 082004.
    PDF BIB DOI

Projects

CURRENT PROJECTS

PAST PROJECTS

Machine Teaching

At this project we aim at creating a personalized learning system in Introduction to Programming classes as a way to uncover students’ difficulties, to understand their knowledge and to provide timely feedback to keep students engaged.

Keywords:

  • Learning Analytics

  • Educational Data Mining

  • Computer Science Education

  • CSEDM



Predicting long-term unemployment in Portugal

At this project we aim at better identifying individuals at high risk of long-term unemployment (LTU) and supporting more efficient allocation of IEFP’s resources to respond to the needs of unemployed individuals.

Keywords:

  • Data Science for Social Good

  • Long-term Unemployment

  • Regression



Lasso Tree

At this project we propose a decision-tree approach for the differential diagnosis of B-cell chronic lymphoproliferative disorders using flow cytometry data.

Keywords:

  • Differential diagnosis

  • Lymphomas

  • Flow Cytometry

  • Classification

  • Decision tree

Talks

Interpretabilidade dos modelos: o que são? Onde vivem? Do que se alimentam? (a partir de 1:00:26)

Portuguese - Nov 25, 2021 - Online (Semana PESC 2021)

Slides

Como a análise de dados educacionais pode melhorar a educação?

Portuguese - Jul 16, 2021 - Online (Festival do Conhecimento 2021)

Slides

Unsupervised Concept Extraction in an Introduction to Programming Course

Portuguese - Feb 24, 2021 - Online

Slides

Roda de Conversa: Os impactos da Inteligência Artificial na Educação

Portuguese - Oct 26, 2020 - Online (Roda de Conversa)

Social Impact of Data

Portuguese - Nov 13, 2019 - Casa Firjan (Diálogos da Inovação)

A Framework to Support Teachers in Identifying Knowledge Gaps

English - Oct 3, 2019 - EPFL (Engineering PhD Summit)

Slides

Data Science Applied to Social Good

Portuguese - Oct 11, 2018 - UFRJ (Semana PESC 2018)

Slides