AINET Team

People

Faculty, current students, collaborators, and the alumni who have shaped AINET over the years.

Faculty

Principal Investigator

Prof. Murillo G. Carneiro
Murillo Guimarães Carneiro
Associate Professor · FACOM/UFU
Email Lattes ORCID

Prof. Murillo Guimarães Carneiro is an Associate Professor at the Faculdade de Computação, Universidade Federal de Uberlândia (UFU). He holds a PhD in Computer Science from USP (2016), an MSc from UFU (2012), and completed a Post-Doctoral fellowship at USP (2021–2025). He was a Visiting Researcher at the University of Surrey, UK (2015–2016).

An IEEE Senior Member since 2020 and a two-time Google Latin America Research Award recipient (2020 & 2022), he coordinates AINET and is a member of the Graduate Programs PPGCO/UFU and PPGAIG/UFU.

His research focuses on Machine Learning, Deep Learning, Graph-based Learning, Data Science, Network Science, and Bio-Inspired Computing, with strong applied threads in Healthcare (COVID-19, ASD, cancer, coma) and Finance.

Complex Networks Deep Learning Machine Learning AI for Health AI for Finance Bio-Inspired Computing
Partnerships

Key Collaborators

External researchers with active co-authorship and project collaborations.

LZ
Liang Zhao
Professor · ICMC/USP
RS
Robinson Sabino-Silva
Professor · ICBIM/UFU
MP
João Batista Destro Filho
Professor · FEELT/UFU
YJ
Yaochu Jin
IEEE Fellow · Bielefeld Univ.
Current Advising

Students Currently Advised

MSc and PhD students currently under Prof. Murillo's supervision at AINET. The year shown is when advising began.

2026
João Lucas Pontes Freitas
MSc · LLM4Finance: Scalable and Reliable LLMs for the Finance Domain · CS/UFU
2026
Evelyn Natalie Aguiar de Almeida
PhD · LLM4Finance: Scalable and Reliable LLMs for the Finance Domain · CS/UFU
2025
Vinícius Pereira Duarte
MSc · Efficient Peptide Search in Protein Docking Guided by Transformer Models and Active Learning · CS/UFU
2025
Vanessa Machado Silva
MSc · LLM4Finance: Scalable and Reliable LLMs for the Finance Domain · CS/UFU
2025
Gabriela Santos Damazo
MSc · LLM4Finance: Scalable and Reliable LLMs for the Finance Domain · CS/UFU
2025
Amaury Walbert de Carvalho
PhD · Evolutionary Surrogate-Assisted Peptide Discovery · CS/UFU
2025
Paulo Diêgo da Silva Souza
PhD · Automatic and Advanced Analysis of Biomedical FTIR Spectra via AutoML · CS/UFU
2025
Janayna Moura Fernandes
PhD · Generative AI Techniques to Learn FTIR Data Patterns · CS/UFU
2025
Thiago Cunha Montenegro
PhD · Interpretability in Network-Based Learning of Sequential Data · CS/UFU
2024
Gabriel Fernandes Bueno
MSc · Deep Network-Based Architectures for Modelling Forest Growth and Production · CS/UFU
2024
Lucas Andrade Mendonça
MSc · Evolutionary Neural Architecture Search for Salivary ATR-FTIR Spectroscopy Applications · CS/UFU
2024
Lucas Gabriel Teodoro Araújo
MSc · High-Level Classification Using Complex Networks for Autism Spectrum Disorder Detection · CS/UFU
2024
Danilo Augusto Nunes
MSc · Data Stream Clustering Using Community Detection · CS/UFU
2023
Mateus de Freitas Rosa
MSc · Learning EEG Patterns for the Prognosis of Patients in Coma · CS/UFU
2023
Bárbara Cristina Gama
MSc · Characterization of Complex Network Measures for High-Level Classification · CS/UFU · Funded: CAPES
2023
Odelmo Oliveira do Nascimento Junior
MSc · Learning EEG Patterns for Early Prognosis of Patients in Coma · CS/UFU
2022
Tiago Souza Silva
PhD · Learning EEG Patterns for the Prognosis of Patients in Coma · CS/UFU
AINET Alumni

MSc & PhD Graduates

Students who completed their MSc with Prof. Murillo as primary advisor, and PhD students he co-advised.

2026
Ricardo Barbosa Lima Filho
MSc · High-level classification based on meta-graphs of visibility graphs for Autism detection · CS/UFU · Funded: CNPq
2026
Dário da Silva Melo
MSc · Guiafertil: exploratory-analysis and productivity-threshold prediction software for soybean using AI techniques · Agriculture & Geospatial Information/UFU
2026
Lucas de Oliveira Diniz
MSc · Learning Strategic Poker Decision-Making with Large Language Models · CS/UFU · Funded: CAPES
2025
Anísio Pereira dos Santos Junior
MSc · Deep neural network learning for rapid, non-invasive molecular diagnosis of COVID-19 via saliva · CS/UFU · Funded: Google Inc.
📄 Dissertação
2025
Anagê Calixto Mundim Filho
MSc · Complex Networks for High-Level Classification of Vibrational Molecular Signatures · CS/UFU · Funded: FAPEMIG
📄 Dissertação
2025
Arthur Faustino de Araújo Teixeira
MSc · Enhancing Soybean Maturity Classification Using High-Throughput UAV RGB Imaging and Convolutional Neural Networks · Agriculture & Geospatial/UFU
📄 Dissertação
2025
João Ludovico Maximiano Barbosa
PhD · Co-advised · Computational Platform for EEG Analysis Applied to Individuals in Coma and Musical Stimulation of Normal Individuals · Biomedical Engineering/UFU
📄 Thesis
2023
Rafael Martins de Carvalho Araújo
MSc · Machine Learning for Modelling Growth and Production in Eucalyptus spp. Plantations · Agriculture & Geospatial/UFU
📄 Dissertação
2023
Janayna Moura Fernandes
MSc · Network Optimization Based on Genetic Algorithms for High-Level Classification with Complex Networks · CS/UFU · Best Dissertation in AI, II CBSAI 2024 · Google Award
📄 Dissertação
2022
Elias Abreu Domingos Silva
MSc · Surrogate-Assisted Genetic Algorithm to Evaluate and Discover Peptides Against SARS-CoV-2 · CS/UFU · Funded: CNPq
📄 Dissertação
2021
Vinicius Henrique Resende
MSc · High-Level Classification Based on Complex Networks for Multi-Label Learning · CS/UFU · Funded: CAPES
📄 Dissertação
2021
Lucas Zago Bissaro
MSc · Learning EEG Patterns for Early Prognosis of Patients in Coma Using Echo State Networks and CNNs · CS/UFU · Funded: CNPq
📄 Dissertação
Undergraduate Research & Capstone

Undergraduate Students Advised

Undergraduate students (Scientific Initiation or Capstone Project) advised by Prof. Murillo whose projects led to scientific publications in AI.

2024
Gustavo Borges Silva Oliveira
Spatial-filter-based convolutional neural networks for prognosis of patients in coma via EEG signals
📄 Paper
2023
Paulo Diego da Silva Souza
Aprendizado de máquina para o diagnóstico da hipersensibilidade dentinária utilizando espectroscopia no infravermelho por transformada de Fourier
📄 Paper
2023
Lucas Gabriel Teodoro Araújo
High-level classification using complex networks for Autism Spectrum Disorder detection
📄 Paper
2023
Danilo Augusto Nunes
Data stream clustering using community detection
📄 Paper
2023
Guilherme Massahiro Suzuki
Evaluation of complex network measures for data classification via importance characterization
📄 Paper
2021
Otávio Soares Ribeiro
Feature selection for predictive modeling of strategies in Poker games
📄 Paper
2021
Anagê Calixto Mundim Filho
Convolutional neural networks for classifying and assessing coffee fruit maturation
📄 Paper
2020
Bárbara Cristina Gama
Comparative evaluation of complex network measures for data classification
📄 Paper
2019
Bruna Luiza Dutra
Data mining for identifying factors of failure in higher education
📄 Paper
2018
Vinicius Henrique Resende
Combining conventional and complex-network-based techniques for multi-label classification
📄 Paper
2018
Gabriel Alves de Lisboa
Machine learning for strategy detection in Poker games
📄 Paper
2018
Lusmar Mendes Freitas
A comparative analysis of community detection techniques applied to the invariant object clustering problem
📄 Paper
Limited Openings

Interested in joining AINET?

AINET welcomes MSc and PhD students with backgrounds in Computer Science, Electrical Engineering, Biomedical Engineering, or related fields — but openings are limited. We're looking for dedicated professionals who are genuinely engaged in producing the highest-quality research, with real interest in machine learning, graph theory, or biomedical applications. Before reaching out, prepare yourself: study the group's scientific output, deepen your grasp of the field's fundamentals, and come with a research idea in mind.

Get in touch