Work Experience (R&D experience):

• Currently: Adjunct Professor at Federal University of Amazonas (UFAM)

• 2021-2024: graduate program coordinator at Federal University of Amazonas (UFAM)

• Past: SIDIA (Samsung, 2018): Software Development and IA specialist. 

• Past: National University of Río Cuarto (2013)

Academic degrees:

• Telecommunications Engineer, Universidad Nacional de Río Cuarto (UNRC), Argentina, 2009-dec.

• M.Sc. Computer Science, Universidade Federal do Amazonas (UFAM), Brazil, 2012-feb.

• Ph.D. Computer Sciences, Universidade Federal do Amazonas (UFAM), Brazil, 2017-sep. (Thesis PDF portugues version)

Awards and recognitions:

• • Master Dissertation Award, 1st place in the XX Latin American Computing Contest sponsored by CLEI (Congreso Latinoamericano en Informática). .

  • "Vamos publicar". Institutional Recognition for the contribution to the Intellectual Production of UFAM.

  • Best Paper Award in IX Brazilian Symposium on Ubiquitous and Pervasive Computing (SBCUP). ‘Sensor Acústico para Detecção de Desmatamento Ilegal na Floresta Amazônica’. Brazilian Society of Computing.

Additional training courses:

• • Large Multimodal Model Prompting with Gemini, 2024-september (deeplearning.ia, certificate)

  • Neural Networks and Deep Learning. Coursera, 2018-jun (deeplearning.ia, certificate)

  • Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization, 2018-jul (deeplearning.ia, certificate)

  • Structuring machine learning projects. Coursera, 2018-jul (deeplearning.ia, certificate)

  • Convolutional Neural Networks. Coursera, 2018-aug (deeplearning.ia, certificate)

  • Sequence Models. Coursera, 2018-aug (deeplearning.ai, certificate)

Programming skills:

• Fluency: Python, C, R, Matlab

• Frameworks: Sklearn, Keras, Tensorflow, SciPy 

International experience:

• Visiting researcher at Artificial Intelligence and Decision Support (LIAAD) at INESC TEC, Portugal (2024), under the supervision of Ricardo Sousa.

• Visiting researcher at Tsukuba University, Japan (January-2020), under the supervision of Professor Kazuhiro Fukui.

• Visiting researcher at National Unversity of Río Cuarto, Argentina (November-2019), under the supervision of Professor Marcelo Ruiz.

• Doctoral Internship at Artificial Intelligence and Decision Support (LIAAD) at INESC TEC, Portugal (2015-2016), under the supervision of Professor João Gama.

• Visiting researcher at Federal University of Alagoas, Brazil (October-2014), under the supervision of Professor Osvaldo Rosso.

Teaching experience:

• Computer Organization

• Computer Architecture

• Data Structures and Algorithms using C

• Introduction to Python Programming

• Data Science with Tradicional Machine Learning  (Hands-on course)

• Deep Neural Networks (Hands-on course)

• Online courses (https://sites.google.com/icomp.ufam.edu.br/oc-icomp/v%C3%ADdeo-aulas)

Services:

• 2025 - Program Committee Member in Workshop de Computação Aplicada à Gestão do Meio Ambiente e Recursos Naturais (WCAMA)

• 2025 - AdHoc Reviwer. EDITAL N. 004/2025 - PCE - FAPEAM

• 2024 - Program Committee Member in Workshop de Computação Aplicada à Gestão do Meio Ambiente e Recursos Naturais (WCAMA)

Registered software:

• Fast Step Graph: faster version of the original Stepwise Gaussian Graphical Algorithm (R-cran)

• PetriNet2Vec: Learning Vector Representations for Petri Nets (PyPi)

• EGCI: Ecoacoustics Global Complexity Index (PyPi)

Journals and book chapters:

• 2024 - Process mining embeddings: Learning vector representations for Petri nets. Intelligent Systems with Applications (PDF)

• 2024 - Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy. Journal of the Brazilian Computer Society (PDF)

• 2024 - On Complexity Classes of Envy-Free Pricing Problems: A Short Survey. Operations Research Forum, Springer (PDF)

• 2023 - Bag of tricks for long-tail visual recognition of animal species in camera-trap images. Ecological Informatics. (PDF)

• 2023 - Monitoramento Ambiental Não Invasivo Utilizando Dados de Sensores e Técnicas de Aprendizagem de Máquina (PDF, página 24)

• 2023 - Discriminative Singular Spectrum Classifier with applications on bioacoustic signal recognition. Digital Signal Processing, Volume 133. (PDF)

• 2022 - How Validation Methodology Influences Human Activity Recognition Mobile Systems. Sensors, MDPI v 22, Article 2360 (PDF)

• 2022 - Using amino acids co-occurrence matrices and explainability model to investigate patterns in dengue virus proteins. BMC Bioinformatics. v 23, Article 80 (PDF)

• 2021 - Short Communication: Optimally Solving the Unit-Demand Envy-Free Pricing Problem with Metric Substitutability in Cubic Time. Algorithms 2021, 14(10), 279. MDPI (link, PDF)

• 2020 - Bioacoustic signal denoising: a review. Artificial Intelligence Review. Springer (link, PDF)

• 2020 - Estimating ecoacoustic activity in the Amazon rain forest through Information Theory quantifiers. Plos One. PDF

• 2020 - A Smartphone Lightweight Method for Human Activity Recognition Based on Information Theory. Sensors, MDPI (link)

• 2020 - Deep hashing for multi-label image retrieval: a survey. Artificial Intelligence Review. Springer (link)

• 2018 - Unsupervised Selection of the Singular Spectrum Components Based on Information Theory for Bioacoustic Signal Filtering. Digital Signal Processing. Elsevier. (link)

• 2018 - A comparison of hierarchical multi-output recognition approaches for anuran classification. Machine Learning. Springer. (Article link)

• 2018 - Feature evaluation for unsupervised bioacoustic signal segmentation of anuran calls. Expert Systems With Applications. Elsevier. (Article link)

• 2015 - An Incremental Technique for Real-Time Bioacoustic Signal Segmentation. Expert Systems With Applications. Elsevier. (Article link, dataset #2)

• 2016 - How to Correctly Evaluate an Automatic Bioacoustics Classification Method. Advances in Artificial Intelligence (LNCS). Springer. (link)

• 2016 - Recognizing Family, Genus, and Species of Anuran Using a Hierarchical Classification Approach. Discovery Science (LNCS). Springer. (Article link, dataset #1)

• 2016 - Experimental Evaluation on Machine Learning Techniques for Human Activities Recognition in Digital Education Context. Communications in Computer and Information Science . Springer. (pdf)

ArXiv:

• 2024 - Tasks People Prompt: A Taxonomy of LLM Downstream Tasks in Software Verification and Falsification Approaches (link)

• 2023 - Catastrophic Forgetting in Deep Learning: A Comprehensive Taxonomy (link)

• 2023 - Bag of Tricks for Long-Tail Visual Recognition of Animal Species in Camera-Trap Images (link)

• 2023 - A note on improving the search of optimal prices in envy-free perfect matchings (link)

• 2022 - New Metrics for Learning Evaluation in Digital Education Platforms (link)

• 2021 - Discriminative Singular Spectrum Classifier with Applications on Bioacoustic Signal Recognition (link)

• 2021 - Filtering Empty Camera Trap Images in Embedded Systems (link)

BiorXiv:

• 2020 - Quantifying ecoacoustic activity in the Amazon rainforest through Information Theory quantifiers (link)

Conferences:

• • 2025 - Dual-branch Mamba based multi-label Anuran species classification (PRICAI)

  • 2025 - Relationships between species assemblage richness and acoustic indices (WCAMA, PDF)

  • 2025 - Lightweight Method for Yoga Posture Recognition: Contributions to Well-Being and Quality of Life (SBCAS, PDF)

  • 2025 - Forecasting Weekly Dengue Cases in Brazilian Federative Units (SBCAS, PDF)

  • 2025 - Discovery of Conditionally Independent Networks Among Gene Expressions in Breast Cancer Using Fast Step Graph (SBCAS, PDF)

  • 2025 -  EchoLogger: sistema embarcado de baixo custo e cálculo do índice de riqueza acústica para monitoramento ambiental não invasivo (SBCUP, PDF)

  • 2025 - Impacts of Anthropogenic Noise on the House Wren’s Song: An XAI Approach to Bioacoustic Insights (CITREx, PDF)

  • 2024 - Acoustic Classification of Bird Species Using Improved Pre-trained Models (PRICAI, PDF)

  • 2024 - Enhancing widget recognition for automated Android testing using Computer Vision techniques (WEBMEDIA, PDF)

  • 2024 - Complex-valued Embedding on Grassmann Manifolds for Pattern set Representation (SIBGRAPI, PDF)

  • 2024 - Detection of Elderly Falls in Video Streams Using Skeleton Key Points and Transformer Networks (SIBGRAPI, PDF)

  • 2024 - Recuperação semântica de paisagens sonoras usando banco de dados vetoriais (WCAMA, PDF)

  • 2024 - Moeda Eco: Uma solução inovadora para promover a reciclagem e recompensar ações sustentáveis (WCAMA, PDF)

  • 2024 - A Hierarchical Approach for Extracting and Displaying Entities and Relations from Radiology Medical Reports (SBCAS, PDF)

  • 2024 - Smart Graphical User Interface Component Recognition (AICCSA/IEEE, PDF)

  • 2023 - Classification of Tropical Disease-carrying Mosquitoes Using Deep Learning and SHAP. (SBCAS, PDF)

  • 2022 - Autenticação de alunos utilizando dinâmica de digitação e redes neurais profundas em ambientes Juiz On-line. (PDF)

  • 2022 - Real Time Detection of Mobile Graphical User Interface Elements Using Convolutional Neural Networks (PDF)

  • 2022 -  Q-funcT: A Reinforcement Learning Approach for Automated Black Box Functionality Testing (PDF)

  • 2022 - Investigando a relação entre os aminoácidos de proteínas do vírus da dengue e o desfecho clínico do paciente (PDF)

  • 2021 - Um Método de Detecção de Plágio para Sistemas Juiz On-line baseado no Comportamento dos Alunos (PDF)

  • 2021 -  Filtering Empty Camera Trap Images in Embedded Systems (IEEE - CVPR, PDF)

  • 2021 - An Incremental Version of Singular Spectrum Analysis (MACI, PDF)

  • 2021 - RQA análise e classificação de sequências genômicas do vírus da dengue. Mateus Medeiras de Souza, Juan Colonna, Leonardo Souza. Anais do XVIII Congresso Brasileiro de Informática em Saúde e 10º Congresso Brasileiro de Telemedicina e Telessaúde (PDF)

  • 2021 - Classificação de diferentes tipos de câncer de pele, utilizando de redes neurais de convolução. José Cabrera, Juan Colonna, Fagner Cunha. Anais do XVIII Congresso Brasileiro de Informática em Saúde e 10º Congresso Brasileiro de Telemedicina e Telessaúde (PDF)

  • 2021 - Classificação multirrótulo de patologias pulmonares em imagens de radiografias utilizando redes neurais de convolução. Aldemir Silva, Juan Colonna, Fagner Cunha. Anais do XVIII Congresso Brasileiro de Informática em Saúde e 10º Congresso Brasileiro de Telemedicina e Telessaúde (PDF)

  • 2020 - Discriminative Singular Spectrum Analysis for bioacoustic classification. (INTERSPEECH, PDF)

  • 2020 - Autenticação contínua de alunos utilizando biometria comportamental em ambiente Juiz On-line (SBIE, PDF) 

  • 2020 - Aprendizagem de Máquina para Classificação de Doenças Respiratórias: Uma Revisão Sistemática. Silva, L.B.; Nogueira, F.N.; Santos, J.M.; Quispe, K.G.M.;  Giusti, R.; Colonna, J.G. (pdf)

  • 2019 - SVC-A2C - Actor Critic Algorithm to Improve Smart Vacuum Cleaner. IX Simpósio Brasileiro de Engenharia de Sistemas Computacionais. (Article)

  • 2019 - Previsão de ocupação de anuros usando sensoriamento de variáveis ambientais e modelos Autocodificadores. Anais do XI Simpósio Brasileiro de Computação Ubíqua e Pervasiva e II Workshop Brasileiro de Cidades Inteligentes. XXXIX Congresso da Sociedade Brasileira de Computação. (Article) 

  • 2019 - Bioacoustic Complexity Index. VII Congreso de Matemática Aplicada, Computacional e Industrial (MACI). Argentina. (Article, Presentation español)

  • 2017 - Mutual Singular Spectrum Analysis for Bioacoustics Classification. IEEE International Workshop on Machine Learning for Signal Processing (MLSP). (Article, Dataset)

  • 2017 - Sensor Acústico para Detecção de Desmatamento Ilegal na Floresta Amazônica. IX Simpósio Brasileiro de Computação Ubiqua e Pervasiva (SBCUP) . (pdf)

  • 2017 - Detecção de Desmatamento Ilegal na Floresta Amazônica Baseada em Processamento de Áudio. Concurso de Trabalhos de Iniciação Científica (CTIC). (Article)

  • 2017 - Framework para coleta e inferência de estados emocionais de alunos baseado em reconhecimento de expressões faciais. Brazilian Symposium on Computers in Education (Simpósio Brasileiro de Informática na Educação - SBIE). (Article)

  • 2016 - Automatic Classification of Anuran Sounds Using Convolutional Neural Networks. Ninth International C* Conference on Computer Science & Software Engineering . (link)

  • 2016 - A Framework for Chainsaw Detection Using One-Class Kernel and Wireless Acoustic Sensor Networks into the Amazon Rainforest. 15th International Conference on Information Processing in Sensor Networks (IPSN) . (link)

  • 2014 - A Distribute Approach for Classifying Anuran Species Based on Their Calls. 22nd International Conference on Pattern Recognition (ICPR). (Article)

  • 2012 - Feature Subset Selection for Automatically Classifying Anuran Calls Using Sensor Networks. International Joint Conference on Neural Networks (IJCNN) . (Article link)

  • 2012 - Similarity Clustering for Data Fusion in Wireless Sensor Networks Using k-Means. International Joint Conference on Neural Networks (IJCNN).

  • 2012 - Compressão de Vocalizações de Anuros para Classificação de Espécies Usando Redes de Sensores Sem Fio

  • 2012 - Compressive Sensing for Efficiently Collecting Wildlife Sounds with Wireless Sensor Networks. 21st International Conference on Computer Communications and Networks (ICCCN).

  • 2011 - Classificação de Anuros Baseado em Vocalizações para Monitoramento Ambiental Pervasivo. Simpósio Brasileiro de Computação Ubiqua e Pervasiva (SBCUP).

  • 2010 - Algoritmos de Localização Recursivos em Nós Sensores SunSpot. ERIN.

  • 2010 - Mobilidade Urbana em Manaus: Proposta de Otimização de Rotas para o Monotrilho. ERIN.

Presentations:

• Estimating ecoacoustic activity in the Amazon rainforest through Information Theory quantifiers. Seminar organized by Laboratório de Computação Científica e Análise Numérica (LACCAN) da Universidade Federal de Alagoas, 2020-10. (pdf) 

• SEMINFO 2016 - Anuran species recognition using a hierarchical classification approach (pdf)

• How to Correctly Evaluate an Automatic Bioacoustics Classification Method. 17th Conference of the Spanish Association  for Artificial Intelligence, CAEPIA 2016, Salamanca, Spain. (pdf)

• Anuran species recognition using a hierarchical classification approach. 19th International Conference on Discovery Science (DS 2016), Bari, Italy. (pdf)

• Uma abordagem para monitoramento de anuros baseada em processamento digital de sinais bioacústicos (pdf)

Posters:

• A Hierarchical Classification Model for Anuran Calls Recognition. MAESTRA SUMMER SCHOOL ON MINING BIG AND COMPLEX DATA, 04/Sep/2016, Ohrid, Macedonia.(pdf)

• 2014 - Permutation entropy applied to bioacoustic signal segmentation. XVIII Conference on Nonequilibrium Statistical Mechanics and Nonlinear Physics.

• 2014 - A Distribute Approach for Classifying Anuran Species Based on Their Calls (pdf)

Mentoring:

Formed Graduate students

• 2025 - Aldemir Rodrigues da Silva. Classificação multirrótulo de patologias pulmonares em imagens de radiografias utilizando redes neurais de convolução.

• 2024 - Alan Thiago Santos de Oliveira. Reconhecimento de Widgets em Interfaces Android Utilizando LMM para Descrição Automática

• 2024 - Matteo Freitas Reis. Detection of Elderly Falls in Video Streams Using Skeleton Key Points and Transformer Networks.

• 2024 - Larissa de Andrade Silva. Explorando variações do canto do Curruíra sob ruído antropogênico: uma abordagem orientada por XAI para análise e interpretação bioacústica. Master Level

• 2023 - Airton Azevedo Franco Martins. ECOLOGGER: Low-Cost Open-Source Device for Ecoacoustic Environmental Monitoring

• 2023 - Diego Queiroz. Investigando a relação entre os aminoácidos de proteínas do vírus da dengue e o desfecho clínico do paciente

• 2022 - Ronem Matos Lavareda Filho. Student authentication using behavioral biometrics in an online judge environment. Master Level

• 2022 - Marcos Marreiro Salvatierra. Improvement of Performance in Determining Optimal Envy-Free Pricing. PhD Level.

• 2021 - Leonardo Rodrigues de Souza. Representation, classification, and interpretation of protein sequences of the dengue virus. Master Level

• 2021 - Richard Hada Degaki. Detection of User Interface Elements in Android Applications.

• 2021 - Mateus Medeiros de Souza. RQA analysis and classification of genomic sequences of the dengue virus

• 2020 - Lohana Patrícia Soares Viana. A CNN Model Using Bluetooth Low-energy and RSSI for Indoor Cat Detection

• 2019 - Francisco Fagner do Rego Cunha. A study on approaches for out-of-sample evaluation of animal classification models in camera trap images. Master Level (Co-advisor)

• 2019 - José Alberto Gurgel Cardoso Neto. IoT System Based on YOLOv3 Algorithm for Electricity Management

• 2019 - Mateus Oliveira da Silva. Reconstruction of High-Frequency Wavelet Coefficients Using Convolutional Neural Networks

• 2018 - Willians Cassiano de Freitas Abreu. LSTM Networks With CTC Loss Applied to Gesture-Based Typing Decoding (Co-advisor)

• 2017 - Waldomiro J. Seabra. Illegal logging prevention with automatic chainsaw detection using acoustic sensors (Co-advisor)

Formed Undergraduate students

• 2022 - Matheus Miranda Matos. Emotion Recognition From Audio Using Deep Learning

• 2019 - Nabson Paiva Souza da Silva. Prediction Model of Animal Species Distribution Using Probabilistic Neural Networks.

Examination Board Participation (incomplete list)

• 2017 - Evaluation Committee Member of Carlos Vicente S. Araújo graduate student. Institute of Computing (Icomp), UFAM. Predicting Music Success Based on Users' Comments on Online Social Networks. 

• 2017 - Evaluation Committee Member of Gilvan O. dos Reis graduate student. Institute of Computing (Icomp), UFAM. Utilização dos metadados do Twitter para a análise da repercussão de notícias criminais na cidade de Nova Iorque.