Bachelor's degree in Computer Science from the Federal University of São Carlos (UFSCar) and currently a Senior Machine Learning Platform Engineer at iFood, working on building platforms for the productionization of Machine Learning models, Generative AI, and artifacts that require intensive data processing.
Alan Demétrius Baria Valejo is a professor in the Department of Computer Science at the Federal University of São Carlos (UFSCar), Brazil, and a tenured faculty member in the Graduate Program in Computer Science (PPGCC) at UFSCar. He is a member of the leadership team of two research groups: INTERFACES – Center for Sociopolitical Studies of Algorithms and Artificial Intelligence, and MIDAS – Data Mining and Applications Research Group. He coordinates the Data Processing and Analysis Group (PANDA). His research interests include graph machine learning, with an emphasis on social network analysis, text mining, graph neural networks, and multilevel methods.
Luiz Henrique de Campos Merschmann is a professor in the Department of Applied Computing at the Federal University of Lavras. He holds a degree in Mining Engineering from UFOP (1999), a master's degree in Production Engineering from UFRJ (2002), and a doctorate in Computer Science from UFF (2007), in addition to postdoctoral studies at the University of Kent, UK (2012/2013). He was a tenured professor at UFOP between 2006 and 2017, in the DECEA and DECOM departments, where he also coordinated the Postgraduate Program in Computer Science for two years. His research interests focus on Artificial Intelligence, with an emphasis on Machine Learning, Data Mining, and Natural Language Processing.
Master's student in Computer Science. Title: Evaluation of Hierarchical Classification Approaches for Detecting Hate Speech in the Portuguese Language. Supervisors: Prof. Luiz and Profa Cissa. Contact: carlos.silva27@estudante.ufla.br
Master's student in Computer Science. Title: Intelligent system based on machine learning for detecting seizures in autistic adults through behavioral monitoring via sensors, offering early warnings. Supervisors: Profa Cissa. Contact: diego.gomes4@estudante.ufla.br
Undergraduate Course: Bachelor's Degree in Computer Science. Undergraduate Student. Project Type: Final Project. Title: Kohonen Self-Organizing Maps and Neuron Clustering for Multi-Label Classification. Supervisors: Profa Cissa. Contact: marco.magalhaes@estudante.ufla.br
Undergraduate Course: Bachelor's Degree in Computer Science. Undergraduate Student. Project Type: Final Project. Title: (still defining the project). Supervisors: Prof. Luiz and Profa Cissa. Contact: heitor.sabino@estudante.ufla.br
Undergraduate Course: Bachelor's Degree in Computer Science. Undergraduate Student. Project Type: Final Project. Title: Time Series Prediction in Financial Markets Using Machine Learning Techniques (Working Title). Supervisors: Profa Cissa. Contact: guilherme.baesse@estudante.ufla.br
Undergraduate Course: Bachelor's Degree in Information System. Undergraduate Student. Project Type: Final Project. Title: Comparative Study of Recommendation Algorithms Applied to E-commerce (Working Title). Supervisors: Profa Cissa. Contact: higor.fernandes1@estudante.ufla.br
Undergraduate Course: Bachelor's Degree in Computer Science. Undergraduate Student. Project Type: Final Project. Title: Text Classification by Political Orientation Using Machine Learning Techniques (Working Title). Supervisors: Profa Cissa. Contact: julio.mariano@estudante.ufla.br
Undergraduate Course: Bachelor's Degree in Computer Science. Undergraduate Student. Project Type: Scientific Iniciation. Title: Processing, refinement and visualization of DataSus data from the Lavras region. Supervisors: Alisson and Profa Cissa. Contact: pedrohquintiliano16@gmail.com
Undergraduate Course: Bachelor's Degree in Information Systems. Undergraduate Student. Project Type: Scientific Iniciation. Title: Computer vision applied to financial analysis: extracting insights with AI and OCR in tax documents. Supervisors: Profa Cissa. Contact: gabriel.santos26@estudante.ufla.br
Undergraduate Course: Bachelor's Degree in Computer Science. Undergraduate Student. Project Type: Scientific Iniciation. Title: An In-Depth Study of k-NN Sparsification for Community Detection in Multi-Label Classification. Supervisors: Prof. Alan and Profa Cissa. Contact: guilherme.azevedo@estudante.ufla.br
| Mater's Students - 2 | TCC - 7 | IC - 3 | Monitor - 1 | Total - 13 students | MAXIMUM - 12 |
I have no more mentoring positions! Until current students defend themselves, I will not be taking on new students. Thank you for your understanding.
Undergraduate Course: Bachelor's Degree in Computer Science. Undergraduate Student. Project Type: Final Project. Title: Modeling and Analysis for Travel Expense Forecasting: A Comparative Study of Algorithms. Contact: thiago.freire@estudante.ufla.br
Undergraduate Course: Bachelor's Degree in Information Systems. Undergraduate Student. Project Type: Final Project. Title: Geospatial Analysis and Machine Learning in AirBnb pricing. Contact: joao.neto4@estudante.ufla.br
Undergraduate Course: Bachelor's Degree in Computer Science. Undergraduate Student. Tutor for the Introduction to Algorithms course. Contact: diego.oliveira1@estudante.ufla.br