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
Publications
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 DOILaura 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 DOIChunpai 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 DOILaura 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 SlidesLaura 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 DOILaura 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 VideoLaura 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 DOIÍñigo 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 BIBLaura 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 SlidesLouis-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 DOIFelipe 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
Students
current STUDENTS
Gabriel Monteiro De Castro Xara Wanderley (2023--ongoing). Master student.
Henrique Soares Rodrigues (2023--ongoing). Master student.
Juliana Barros de Sousa (2023--ongoing). Construção de feedback automatizado para alunos em curso introdutório de programação. Undergraduate Final Course Project (CNPq).
Hugo Folloni Guarilha (2022--ongoing). Machine Teaching. Undergraduate student (Reditus e PIBIC). Co-advised with Carla Delgado.
Arthur Mendonça Sasse (2022--ongoing). Ferramenta para agrupamento de código. Undergraduate Final Course Project (CNPq). Co-advised with Carlos Eduardo Pedreira e Carla Delgado.
João Pedro Freire (2020--ongoing). Dropout and performance prediction. Undergraduate student (PIBIC). Co-advised with Carlos Eduardo Pedreira e Carla Delgado.
PAST STUDENTS
Gabriel Monteiro De Castro Xara Wanderley (2023). Arquitetura resiliente e escalável para um sistema de execução de código remoto. Undergraduate Final Course Project. Co-advised with Claudio Miceli.
Fernando Silva França e Bruno Hryniewicz Santos Cruz (2023). Biblioteca para exemplificação de álgebra linear EasyLinalg. Undergraduate Final Course Project. Co-advised with João Antonio Recio da Paixão.
Gabriel Matos Cardoso Leite (2017). Técnica de Redução de Comparações em Classificadores Multiclasse. Undergraduate Final Course Project. Co-advised with Carlos Eduardo Pedreira.
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)
Como a análise de dados educacionais pode melhorar a educação?
Portuguese - Jul 16, 2021 - Online (Festival do Conhecimento 2021)
Unsupervised Concept Extraction in an Introduction to Programming Course
Portuguese - Feb 24, 2021 - Online
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)