Wesley Lobato Passos
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Professor · Federal Center for Technological Education (CEFET-RJ)
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Postdoctoral Researcher · Federal University of Rio de Janeiro (UFRJ)
- D.Sc. — Electrical Engineering, COPPE/Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brazil, October 2024.
- M.Sc. — Electrical Engineering, COPPE/Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brazil, February 2019.
- B.Sc. — Control Systems and Automation Engineering, Federal Center for Technological Education (CEFET-RJ), Nova Iguaçu, RJ, Brazil, December 2016.
Wesley Lobato Passos was born in Rio de Janeiro, Brazil, in 1991. He received his D.Sc. in Electrical Engineering from COPPE/UFRJ, Rio de Janeiro, RJ, Brazil, in 2024. Previously, he received his M.Sc. in Electrical Engineering also from COPPE/UFRJ in 2019, and his B.Sc. in Control Systems and Automation Engineering from the Federal Center for Technological Education (CEFET-RJ), Nova Iguaçu, RJ, Brazil, in 2016.
During his undergraduate studies, he participated in an academic exchange program at the University of Georgia (UGA), and took part in a summer research project at the Illinois Institute of Technology (IIT), both in the United States, through the Brazilian exchange program Science Without Borders from 2014 to 2015.
He received the Google Latin American Research Award in 2019 and 2020 for the project on detecting potential Aedes aegypti mosquito breeding grounds using computer vision and machine learning techniques.
Since 2024 he is a Professor with the Control Systems and Automation Engineering Department, and since 2025 a collaborating professor in the Graduate Program in Electrical Engineering (PPEEL), both at the CEFET-RJ. He is also a postdoctoral researcher with the Systems and Computer Engineering Program (PESC), COPPE/UFRJ. He is a member of the Institute of Electric and Electronic Engineers (IEEE): IEEE Circuits and Systems Society (CASS), IEEE Signal Processing Society (SPS), IEEE Young Professionals (YP), and the Brazilian Telecommunication Society (SBrT).
He has a background in Instrumentation, Control, and Industrial Automation projects. His research interests include Computer Vision, Machine Learning, and Signal Processing.
Experience
- Professor, Postgraduate Program in Electrical Engineering, CEFET-RJ, Jan. 2025 – present
- Professor, Department of Control Systems and Automation Engineering, CEFET-RJ, Jan. 2024 – present
- Postdoctoral researcher, Systems and Computer Engineering Program (PESC), COPPE/UFRJ, Dec. 2024 – present
- Researcher, Signals, Multimedia and Telecommunications Laboratory (SMT), COPPE/UFRJ, Feb. 2017 – Oct. 2024
- Research assistant, Illinois Institute of Technology, Chicago, USA, 2015 · Integration of a GPS module and an IMU in a low-cost embedded system for sub-metre localisation
- Instrumentation and Automation Designer, Promon Engenharia, 2011–2015 · Detailed design documents for the oil and gas industry: instrument layouts, interconnection and logic diagrams, flowcharts
- Instrumentation and Automation Intern, Promon Engenharia, 2010–2011 · Support to the instrumentation team in detailed design documentation
Research
- Brasil 6G, Phase 3 — Research and Development in 6th-Generation Mobile Communication Systems, 2024–present · Team member · Coordinator: José F. de Rezende (UFRJ) · MCTI/RNP
- Computational System for Non-Intrusive Estimation of Biomedical Signals through Computer Vision, 2026–present · Principal investigator · CEFET-RJ research and innovation call (DEPEQ)
- Computer Vision and Signal Processing for Non-Intrusive Monitoring of Biomedical Signals, 2024–2026 · Principal investigator · CEFET-RJ research and innovation call (DEPEQ)
- Autonomous Robot for Identification of Emulsified Liquids (ARIEL), Phase 2, 2022–2023 · Team member · Coordinator: Sergio L. Netto (UFRJ) · Repsol/Sinopec
- Evaluation of Multiphase Flow and Fluid Correlations Using Computational Intelligence Techniques, 2021–2022 · Team member · Coordinator: Sergio L. Netto (UFRJ) · Petrobras
- Automatic Detection of Aedes aegypti Breeding Grounds using Computer Vision and Machine Learning, 2019–2021 · Team member · Coordinator: Eduardo A. B. da Silva (UFRJ) · Google Latin America Research Awards
- Signal Processing Applied to Prediction, Detection, and Diagnosis of Failures During Well Drilling, 2018–2020 · Team member · Coordinator: Marcello L. R. de Campos (UFRJ) · CENPES/Petrobras
- Postural Assessment in Physical Exercise Using Computer Vision: Promoting Health and Well-Being in the Community, 2026–present · Coordinator · CEFET-RJ
- Georeferenced Visualization of Potential Aedes aegypti Breeding Grounds to Support Health Agents, 2026–present · Coordinator · CEFET-RJ
- From Concept to Practice: Interactive Teaching of Capital Market Analysis with AI Models, 2025 · Team member · Coordinator: Jonathan N. Gois (CEFET-RJ)
- Postural Assessment in Physical Exercise Using Computer Vision: Promoting Health in the Community, 2025 · Coordinator · CEFET-RJ
- Portable Insulin Storage and Temperature Monitoring Prototype, 2024 · Team member · Coordinator: Amaro A. de Lima (CEFET-RJ)
Publications
- , “Improving Robotic UAV Wind-Turbine Inspection with Digital-Twin Synthetic Data”, Journal of Control, Automation and Electrical Systems, July 2026.
- , “Unsupervised Dynamic Cooperation Clustering in Cell-Free Massive MIMO With Multiple CPUs”, IEEE Wireless Communications Letters, vol. 15, pp. 3601–3605, 2026.
- , “When decentralization is not enough: Federated Learning and the institutional, infrastructural, and regulatory conditions for AI governance in Brazil”, Computer Law & Security Review, vol. 60, 106277, April 2026.
- , “Pixel-level detection and classification of marine oil spills in aerial imagery with annotation uncertainty handling”, Marine Pollution Bulletin, vol. 223, 118975, February 2026.
- , “The usage of stabilometric information to automatically predict balance evaluation scores”, Learning & Nonlinear Models, vol. 23 no. 2, pp. 4–10, September 2025.
- , “Toward improved surveillance of Aedes aegypti breeding grounds through artificially augmented data”, Engineering Applications of Artificial Intelligence, vol. 123, Part C, August 2023.
- , “Automatic detection of Aedes aegypti breeding grounds based on deep networks with spatio-temporal consistency”, Computers, Environment and Urban Systems, vol. 93, 101754, April 2022.
- , “A Gait Energy Image-Based System for Brazilian Sign Language Recognition”, IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 68 no. 11, pp. 4761–4771, November 2021.
- , “Automatic Event Identification and Extraction from Daily Drilling Reports Using an Expert System and Artificial Intelligence”, Journal of Petroleum Science and Engineering, vol. 205, 108939, October 2021.
- , “A Comparative Analysis of Object Detection Metrics with a Companion Open-Source Toolkit”, Electronics, Special Issue on Deep Learning Based Object Detection, vol. 10 no. 3, 279, pp. 1–28, January 2021.
- , “Visualização Panorâmica Georreferenciada de Potenciais Focos de Mosquito Aedes aegypti”, XLIII Simpósio Brasileiro de Telecomunicações e Processamento de Sinais, Natal, RN, Brasil, Outubro 2025.
- , “Controle de Orientação pan-tilt de um ponteiro laser para rastreamento de objetos móveis por visão computacional”, XVII Simpósio Brasileiro de Automação Inteligente, São João del-Rei, MG, Brasil, Agosto 2025.
- , “Um sistema para estimativa de profundidade de objetos utilizando visão computacional”, XVII Simpósio Brasileiro de Automação Inteligente, São João del-Rei, MG, Brasil, Agosto 2025.
- , “Acerca do Monitoramento de Áreas de Conservação Ambiental Utilizando Visão Computacional”, XLII Simpósio Brasileiro de Telecomunicações e Processamento de Sinais, Belém, PA, Brasil, Outubro 2024.
- , “Predição Automática de Escala de Avaliação de Equilíbrio Utilizando Estabilometria”, XLII Simpósio Brasileiro de Telecomunicações e Processamento de Sinais, Belém, PA, Brasil, Outubro 2024.
- , “IEEE ICIP 2023 Challenge on the Automatic Detection of Mosquito Breeding Grounds”, International Conference on Image Processing Challenges and Workshops (ICIPCW), pp. 3624–3628, Kuala Lumpur, Malaysia, October 2023.
- , “A Brazilian Sign Language Gesture Recognizing System Using Gait Energy Image”, Latin America Symposium on Circuits and System (LASCAS), Arequipa, Peru, February 2021.
- , “Um Sistema de Reconhecimento de Sinais em Libras Usando CNN e LSTM”, XXXIX Simpósio Brasileiro de Telecomunicações e Processamento de Sinais, Online, Brasil, Setembro 2021.
- , “Acerca da Detecção Automática de Silhuetas de Manchas de Óleo no Mar”, XXXIX Simpósio Brasileiro de Telecomunicações e Processamento de Sinais, Online, Brasil, Setembro 2021.
- , “A Brazilian Sign Language Video Database for Automatic Recognition”, Latin American Robotics Symposium (LARS), Natal, Brazil, November 2020.
- , “Detecção de Potenciais Focos do Aedes aegypti em Vídeos Aéreos Usando Redes Neurais”, XXXVIII Simpósio Brasileiro de Telecomunicações e Processamento de Sinais, Online, Brasil, Novembro 2020.
- , “Acerca de Técnicas de Aumento de Dados para a Detecção Automática de Focos de Mosquito”, XXXVII Simpósio Brasileiro de Telecomunicações e Processamento de Sinais, Petrópolis, Brasil, Setembro 2019.
- , “Eye Detection Using Ensemble of Weak Classifiers Based on Correlation Filter”, International Joint Conference on Neural Networks (IJCNN), Rio de Janeiro, Brazil, July 2018.
- , “Acerca da Detecção Automática de Focos do Mosquito Aedes aegypti”, XXXVI Simpósio Brasileiro de Telecomunicações e Processamento de Sinais, Campina Grande, Brasil, Setembro 2018.
- , “Real-Time Deep-Learning-Based System for Facial Recognition”, XXXVI Simpósio Brasileiro de Telecomunicações e Processamento de Sinais, Campina Grande, Brasil, Setembro 2018.
- , “Bagging de Detectores por Produto Interno para Detecção de Olhos”, XXXV Simpósio Brasileiro de Telecomunicações e Processamento de Sinais, São Pedro, Brasil, Setembro 2017.
- , “Automatic Detection of Potential Aedes aegypti Breeding Grounds using Computer Vision and Machine Learning”, D.Sc. Thesis, COPPE/Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brazil, October 2024.
- , “Automatic Aedes aegypti Breeding Grounds Detection Using Computer Vision Techniques”, M.Sc. Dissertation, COPPE/Federal University of Rio de Janeiro (UFRJ), Rio de Janeiro, RJ, Brazil, February 2019.
- , “Detecção de características faciais utilizando Bootstrap Aggregating e o detector por produto interno”, B.Sc. Final Project, Federal Center for Technological Education (CEFET-RJ), Nova Iguaçu, RJ, Brazil, 2016.
- , “FARME”, Computer program registration, National Institute of Industrial Property (INPI), Brazil. Registered 21 August 2020.
Awards
- Google Latin America Research Award (LARA), “Automatic Detection of Aedes aegypti Breeding Grounds using Computer Vision and Machine Learning”, 2019 and 2020 · Google Awardee list — Google Research
Students
- Miqueas dos Santos Pinheiro, “Automatic Classification of Brazilian Sign Language Signs with Computer Vision”, M.Sc., PPEEL/CEFET-RJ, co-supervisor with Prof. Gabriel Matos Araujo from CEFET-RJ. Since 2026.
- Leilson Soares Castilhos, “Development of an Autonomous Surface Vessel for Detection, Classification and Collection of Floating Solid Waste”, M.Sc., PPEEL/CEFET-RJ, co-supervisor with Prof. Alessandro Zachi from CEFET-RJ. Since 2026.
- Dicson Soares Rabelo, “Detection of Power Sector Assets Using Computer Vision”, M.Sc., PPEEL/CEFET-RJ, co-supervisor with Prof. Gabriel Matos Araujo from CEFET-RJ. CAPES. Since 2025.
- Lucas Friederichs Osternack Costa, “Pan-Tilt Camera Orientation Control for Target Tracking Using Phase Correlation”, Eng., COENCA-NI/CEFET-RJ. Since 2026.
- Letícia Cacho de Oliveira, “Automated System for Monitoring Domestic Animal Behaviour”, Eng., COENCA-NI/CEFET-RJ, with Prof. Thiago de Moura Prego from CEFET-RJ. Since 2025.
- Guilherme Rodrigues da Silva, “Computer Vision and Edge AI on a Raspberry Pi for Automatic Reading of Analogue and Digital Instruments”, Eng., COENCA-NI/CEFET-RJ, with Prof. André Salustiano Ramalho from INT and CEFET-RJ. Since 2025.
- Pedro Moreira de Freitas, “Development of an Autonomous Vessel for Floating Object Detection Using Computer Vision” (in Portuguese), Eng., COENCA-NI/CEFET-RJ, with Prof. Alessandro Rosa Lopes Zachi from CEFET-RJ, July, 2026.
- Renan Henrique Martins Chagas da Silva, “Quality Assessment of Preventive Maintenance in an LPG Facility through Computer Vision” (in Portuguese), Eng., COENCA-NI/CEFET-RJ, with Prof. Amaro Azevedo de Lima from CEFET-RJ, July, 2026.
- Matheus Martins Fia, “Video Monitoring System for Driver Drowsiness Detection Using Learning Methods” (in Portuguese), Eng., COENCA-NI/CEFET-RJ, June, 2026.
- Bruno Pimenta Gomes, “Exploratory Study of the Greenblatt Formula in the Brazilian Capital Market” (in Portuguese), Eng., COENCA-NI/CEFET-RJ, March, 2026.
- Lucas Silva Meyer, “Georeferenced Panoramic View of Aedes aegypti Mosquito Outbreaks” (in Portuguese), Eng., Poli/UFRJ, with Prof. Eduardo A. B. da Silva from Poli/COPPE/UFRJ, February 2025.
- Mateus Soares de Oliveira, “Case Study of a Safety Instrumented System for a Light Cycle Oil Plant” (in Portuguese), Eng., COENCA-NI/CEFET-RJ, with Prof. Cristiano de S. de Carvalho from CEFET-RJ, June 2025.
- Pedro Gil Oliveira de Magalhães Couto, “Data Augmentation in Digital Image Processing to Aid the Detection of Aedes aegypti Outbreaks” (in Portuguese), Eng., Poli/UFRJ, with Prof. Eduardo A. B. da Silva from Poli/COPPE/UFRJ, February 2021.
Teaching
- Digital Signal Processing
- Digital Systems
- Electric Circuits
- Electronic Instrumentation and Measurements
- Introduction to Control Systems and Automation Engineering
- Topics in Electronic and Digital Systems
- Discrete-Time Signal Processing