Bruno Henrique Groenner Barbosa holds a degree in Control and Automation Engineering from UFMG (Federal University of Minas Gerais), which he completed in 2003. He later obtained his master's and doctoral degrees in Electrical Engineering from the same university, in 2006 and 2009, respectively. His graduate research was with the MACSIN (Modeling, Analysis and Control of Nonlinear Systems) research group, focusing on Machine Learning and Artificial Intelligence. He is currently an Associate Professor at UFLA (Federal University of Lavras) and a CNPq research productivity fellow. During his doctorate, he participated in a one-year internship abroad at the University of New South Wales, Australian Defence Force Academy in Canberra, where he conducted research at the Artificial Life and Adaptive Robotics laboratory. In 2020, he completed his postdoctoral research in Artificial Intelligence applied to intelligent vehicles at the University of Waterloo, Canada. He was also a visiting professor and postdoctoral researcher at the Université de Technologie de Compiègne, France, from 2022 to 2023. He is the leader of the Automation and Artificial Intelligence (AIA) research group and serves as the vice-coordinator of the Intelligent Systems area within the Brazilian Society of Automation. His research involves the theory and application of Artificial Intelligence techniques to problems in the identification of nonlinear dynamic systems, the development of soft-sensors, pattern recognition, and the optimization and control of systems.

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Título	Descrição	Data de início	Data de término
Applied Artificial Intelligence in the Identification and Control of Intelligent Vehicles	This project aims to develop and apply Artificial Intelligence (AI) techniques for the monitoring and control of intelligent vehicles. To this end, the project involves developing AI-based computational techniques for the identification and adaptive dynamic control of vehicles. In this context, evolutionary computation will be used to detect the structure of dynamic models, and new identification tools will be developed that are capable of predicting the states of the autonomous system with their respective prediction uncertainty. The developed identification tools and machine learning techniques will be used in the predictive control of systems (such as in lane-keeping assistants and speed control) and in fault detection, through the development of soft-sensors. Status: Ongoing; Nature: Research.	2024	Present
Development of Artificial Intelligence Techniques in Dynamic Systems Identification	CNPq Research Productivity Grant - PQ2, CNPq Call No. 4/2021. Status: Ongoing; Nature: Research.	2022	Present
Development of Virtual Sensors using Computational Intelligence: Theory and Applications in Vehicles	Due to the high number of road accidents, often caused by driving errors, several advanced driver-assistance systems have been recently developed and implemented in commercial vehicles. However, the performance of these systems is strongly related to the quality of the available information about the vehicle's dynamics and the performance of its sensors and actuators. To obtain this information with sufficient quality and in real-time, precise and exact sensors must be used. However, due to the cost of these sensors or, in some cases, their technical infeasibility, their use is not possible. Therefore, the implementation of soft-sensors, or virtual sensors, is a promising alternative that can also be used as a fault detection system for vehicle sensors and actuators. This project aims to develop soft-sensors for intelligent vehicles using Computational Intelligence and Gray-Box Identification techniques, which may employ multi-model approaches. It is expected that the use of prior system information will aid in the identification of good models (soft-sensors) that can be implemented in real-time. Status: Completed; Nature: Research.	2020	2020
Artificial intelligence system to assist decision-making in the triage and diagnosis of COVID-19 patients: score and risk groups based on thoracic imaging exams	The objective of this project is to develop a decision-support telemedicine system based on the analysis of radiological images (CT scans) along with other available information such as ultrasounds and laboratory tests. In addition to producing a diagnostic score, it will provide an estimate of the disease's severity, to support the decision on a patient's treatment referral and assist in the planning and management of health system beds. Given the continental dimensions of Brazil, a telemedicine system to support diagnosis allows for anticipating the treatment of potentially serious patients, guaranteeing a greater chance of survival, as well as improving the management of the health system and bed optimization. Status: Ongoing; Nature: Research.	2020	Present
PQ - CNPq: Identification of Dynamic Systems and Pattern Recognition: Theory and Applications with Computational Intelligence	CNPq productivity grant research project - CA Electrical Engineering. Status: Completed; Nature: Research.	2019	2021
Pattern Recognition and Systems Identification with Computational Intelligence	This project proposes the development and analysis of Computational Intelligence techniques applied to pattern recognition and the identification of nonlinear dynamic systems. The goal is to apply and compare these techniques in various real-world problems in the field of Control and Automation. For this purpose, two subprojects were created to study the various computational intelligence techniques in different real-world problems. It is important to highlight that there is a significant intersection between the subprojects, both through the use of the techniques and the mutual application of identification and pattern recognition areas in complex problems. The subprojects involve: i. analysis of biomedical signals, soft-sensor applications, fault detection, classification of electrical disturbances, among others; ii. implementation of tools in the field of pattern recognition, for example, for the extraction and selection of signal features; iii. development of computational techniques in various stages of the nonlinear identification problem, such as input selection, structure detection, and parameter estimation. Status: Ongoing; Nature: Research.	2017	Present
Computational Intelligence Applied to Pattern Recognition of Lung Sounds	The auscultation of respiratory sounds is a method that consists of capturing signals from a patient to assess the conditions of the respiratory system, a process performed using a stethoscope. However, the device has many limitations, as it requires the examiner to be trained to listen and distinguish between normal and abnormal sounds generated by the human body. This limitation has motivated researchers to develop techniques and devices for the acquisition, classification, and separation of lung sounds to obtain a better diagnosis. In this sense, the objective of this work is to build a system for the acquisition and classification of lung sounds to aid medical diagnosis. The goal is to develop new pattern recognition techniques for lung sounds based on computational intelligence techniques. Status: Completed; Nature: Research.	2016	2019
Evolution algorithm with numerical differentiation for adjusting virtual sensor structures in a petrochemical process	The objective of this work is to develop and validate a new evolutionary algorithm model for solving multimodal optimization problems, called the Evolution Algorithm with Numerical Differentiation. The proposed method is based on two techniques: the first, and main one, increases the search radius within the acceptable limits of the function's domain as better points are found (global search). The second occurs in parallel as the function converges to the best points. This parallel convergence separates the best points into specific nuclei by calculating the squared Euclidean distance between the points and then performs a local search in the delimited region. The algorithm proposes a dynamic way of parameterizing evolutionary algorithms, based on the principles of numerical differentiation, ensuring a good balance between local and global search, in addition to specific elitism techniques for the algorithm and a dynamic form of local search. The proposed algorithm will be tested on simulated integer optimization problems and on a real problem of defining the inputs of a model based on Artificial Neural Networks for application in virtual sensors of a petrochemical process. Status: Completed; Nature: Research.	2016	2019
Construction of a Test Bench for Vibration Measurement and Analysis	This project aims to build a test bench for sound and vibration measurement and analysis, consisting of accelerometer-type vibration sensors, microphone-type sound sensors, a data acquisition system with specialized signal conditioners, a structural exciter of the instrumented hammer type with a force sensor, in addition to computers for reading and processing signals and furniture for equipment safety and protection. Status: Completed; Nature: Research.	2015	2018
Application of Soft-sensors in Intelligent Vehicles using Computational Intelligence Techniques	This project aims to develop soft-sensors for intelligent vehicles using Computational Intelligence and System Identification techniques. Status: Completed; Nature: Research.	2015	2018
Consolidation of the Area in Intelligent Embedded Systems in Robotic Vehicles in the Graduate Program in Systems and Automation Engineering	This project aims to enable the visit of Professor Alessandro Correa Victorino from the Université de Technologie de Compiègne - UTC/France, to consolidate the area of intelligent vehicles at PPGESISA/UFLA. Status: Completed; Nature: Research.	2015	2015
Development of a device to assist in the sensory analysis of specialty coffees	To develop a device to assist in the sensory analysis of coffees. Status: Completed; Nature: Research.	2014	2016
The Teaching of Control and Automation and Computer Engineering in Brazil and France from the Perspective of Application in Biosystems	This joint engineering student training project is presented in the context of CAPES Call No. 42/2013 for BRAFITEC 2014-2015 Projects, and renewed for 2016-2017, launched jointly by CAPES (Coordination for the Improvement of Higher Education Personnel), in Brazil, and by CDEFI (Conférence des Directeurs des Ecoles Françaises d'Ingénieurs), in France, and involves the association of four institutions, the Federal University of Lavras, the Federal University of Minas Gerais, in Brazil, UTC (Université de Technologie de Compiègne), and LaSalle (Institut Polytechnique LaSalle Beauvais) in France. The exchange occurs in the areas of: - Computer Engineering / Computer Science; - Control and Automation Engineering / Systems Engineering. Status: Completed; Nature: Research.	2013	2017
P&D Petrobras - Development of a Computational Tool for the identification of mathematical models of oil production wells	Status: Completed; Nature: Research.	2013	2016
Classification of Lung Sounds using Computational Intelligence Techniques	This project aims to classify patients with a type of pulmonary disorder using respiratory sounds. Status: Completed; Nature: Research.	2013	2015
Application of Evolutionary Algorithms for Tuning Industrial Controllers	This work aims to propose a tuning method, through the application of Evolutionary Algorithms, for proportional, integral, and derivative (PID) controllers. The basic objective is to obtain the PID controller gains that satisfy the performance specifications indicated by the closed-loop step response for a given model. Initially, it is expected that these results will be achieved through Genetic Algorithms, Memetic Algorithms, Hybrid Algorithms, and Particle Swarm Optimization. Status: Completed; Nature: Research.	2013	2015
Development of Computational Intelligence and Signal Processing Techniques for Smart Grids	This proposal is a continuation of the project supported by FAPEMIG Call 01/2011, which aimed to analyze electrical disturbances in Power Systems using computational intelligence, and presented promising results (one scientific article in a Qualis A1 international journal and three full articles in national conferences). Still in the line of analyzing electrical signals with computational intelligence and signal processing, this current proposal now focuses on the much-discussed intelligent grids or "Smart Grids". Smart grids must have a set of basic functions that allow for the modernization of the electrical infrastructure, among which the following stand out: (1) self-reconfiguration capability; (2) being fault-tolerant, resisting hacker attacks; (3) allowing the integration of all energy source and storage options; (4) allowing for dynamic optimization of network operation; (5) allowing active consumer participation; and (6) improving the reliability, power quality, security, and efficiency of the energy system. Some of these functions are not new, as the energy infrastructure has always had intelligent technologies for its operation, control, and protection, etc., but in this new scenario of high penetration of distributed and dispersed generation, it will be necessary to make research efforts and develop new technologies to solve the problems that are already starting to appear in the networks. In this sense, the general objective of this project is to develop an electrical energy monitoring system capable of identifying the electrical loads activated in a given electrical system and providing information on the power quality of the grid that feeds these loads, as well as the alterations to it as a function of the activation of each electrical load, considering the Smart Grids scenario. Status: Completed; Nature: Research.	2013	2015
Identification of Nonlinear Systems using Wavelet Neural Networks	This project aims to study the use of Wavenets in the identification of nonlinear dynamic systems. Status: Completed; Nature: Research.	2013	2015
Study of Cost Functions in Systems Identification	This project aims to analyze and propose different cost functions for training artificial neural networks for the identification of nonlinear dynamic systems. Status: Completed; Nature: Research.	2012	2014
Analysis of Electrical Disturbances in Power Systems using Computational Intelligence	The general objectives of this project are the development and study of methodologies for the analysis of electrical disturbances in power systems using advanced computational intelligence techniques, considering the occurrence of both isolated and multiple disturbances. The development of these methodologies will aim to propose systems with reduced computational complexity to enable their real-time application. Status: Completed; Nature: Research.	2012	2014
P&D Petrobras - Development of a methodology for the identification of mathematical models of oil production wells	This project's main objective is to investigate, define, develop, and test mathematical models and signal processing techniques in the context of on-shore and off-shore oil production wells. Status: Ongoing; Nature: Research.	2011	2013
Identification of Nonlinear Dynamic Systems: Applications Using Natural Computation and Hybrid Systems	The main objective of this work is to develop, compare, and apply techniques for the identification of nonlinear dynamic systems with a view to training artificial neural networks and identifying hybrid systems. For this, evolutionary algorithms will be used to compare different cost functions and to obtain multi-model systems. Status: Ongoing; Nature: Research. Students involved: Undergraduate: (1).	2011	2013
Implementation of a Digital System for Process Modeling and Control	This project aims to implement an acquisition and control system for the study of advanced modeling and control techniques to be applied to the processes available in the Control and Automation Laboratory of the UFLA Engineering Department. Status: Completed; Nature: Research.	2011	2012
Signal Processing and Computational Intelligence Applied to the Monitoring of Electrical Power Quality	This project aims to develop systems for monitoring electrical power quality (EPQ) using sophisticated signal processing and computational intelligence techniques. In the context of EPQ monitoring, emphasis will be placed on the detection and classification of disturbances and the identification and location of disturbance-generating sources. Status: Ongoing; Nature: Research.	2010	2012
Computational Intelligence Applied to the Identification of Nonlinear Dynamic Systems	The objective of this project is to analyze the use of different cost functions and the use of different model structures (such as artificial neural networks and rational and polynomial models) for the identification of nonlinear dynamic systems. Furthermore, this project aims to compare and propose methods for the identification of hybrid systems and the implementation of new approaches for training artificial neural networks. Evolutionary algorithms will be implemented for the estimation of model parameters in both single-objective and multi-objective problems. Status: Ongoing; Nature: Research.	2010	2012
Digital platform for the classification, physical, and microstructural analysis of coffee	Status: Completed; Nature: Research.	2009	2011

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Year	Publication
2025	BARBOSA, BRUNO HENRIQUE GROENNER; BHATT, NEEL PRATIK; KHAJEPOUR, AMIR; HASHEMI, EHSAN. Adaptive and soft constrained vision-map vehicle localization using Gaussian processes and instance segmentation. EXPERT SYSTEMS WITH APPLICATIONS, v. 264, p. 125790, 2025.
2025	XU, NAN; WANG, ZHENXU; ASKARI, HASSAN; BARBOSA, BRUNO HENRIQUE GROENNER; KHAJEPOUR, AMIR. Intelligent mobility: Unveiling triboelectric nanogenerator-powered intelligent tire realization. Applied Materials Today, v. 42, p. 102506, 2025.
2025	XU, NAN; TANG, ZEPENG; ASKARI, HASSAN; GROENNER BARBOSA, BRUNO HENRIQUE; WANG, ZHENXU. Tire Slip State Estimation Under Combined Conditions Using Intelligent Tire Technology. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, v. 74, p. 1-10, 2025.
2025	MARTINS, PÂMELA MYNSEN MACHADO; DA SILVA MOREIRA, SUZANA; BARBOSA, BRUNO HENRIQUE GROENNER; BATISTA, NÁDIA NARA; DIAS, DISNEY RIBEIRO; SCHWAN, ROSANE FREITAS. Microencapsulation of non-Saccharomyces yeasts from coffee fruits: process optimization, storage stability, and growth kinetics. EUROPEAN FOOD RESEARCH AND TECHNOLOGY, v. 1, p. 1, 2025.
2025	LI, TINGJUN; XU, NAN; FENG, SHUO; ASKARI, HASSAN; BARBOSA, BRUNO HENRIQUE GROENNER; GUO, KONGHUI. Responsibility-Based Socially Compatible Driving Behavior Modeling Verified by Hierarchical Multi-Agent Inverse Reinforcement Learning. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, v. 1, p. 1-18, 2025.
2024	ABREU, P. E. O. G. B.; CASTRO, H. C.; BARBOSA, B. H. G.; AGUIRRE, LUIS. Identification and control of systems with hysteresis: concepts and tools. International Journal of Modelling, Identification and Control, v. 16, p. 189-217, 2024.
2024	RODRIGUES, LUIZ FERNANDO A.; MONTEIRO, HENRIQUE L.M.; FERREIRA, DANTON D.; Barbosa, Bruno H.G.; JUNIOR, CARLOS A.R.; DUQUE, CARLOS A. Sample-by-sample Power Quality Disturbance classification based on Sliding Window Recursive Discrete Fourier Transform. ELECTRIC POWER SYSTEMS RESEARCH, v. 235, p. 110607, 2024.
2024	NETO, JOSÉ CARLOS FERREIRA; PEREIRA, DENILSON ALVES; BARBOSA, BRUNO HENRIQUE GROENNER; FERREIRA, DANTON DIEGO. Approaches based on language models for aspect extraction for sentiment analysis in the Portuguese language. NEURAL COMPUTING & APPLICATIONS, v. 2024, p. 1-11, 2024.
2024	CORRÊA JÚNIOR, DELORME; Barbosa, Bruno H. G.; MARQUES FILHO, ALDIR C; VOLPATO, CARLOS E. S.; PAULA, FABIO O DE; ANDRADE, DIEGO H. C.; FONTES, GUSTAVO H. O.; MAGALHÃES, RICARDO R.; FERREIRA, DANTON D. EMBEDDED SYSTEM FOR REAL-TIME MONITORING OF AGRICULTURAL TRACTORS SLIPPING AND FUEL CONSUMPTION. ENG AGR-JABOTICABAL, v. 44, p. e20240038, 2024.
2023	XU, NAN; ZHOU, JIANFENG; BARBOSA, BRUNO HENRIQUE GROENNER; ASKARI, HASSAN; KHAJEPOUR, AMIR. A Soft Sensor for Estimating Tire Cornering Properties for Intelligent Tires. IEEE Transactions on Systems Man Cybernetics-Systems, v. 1, p. 1-11, 2023.
2023	FERREIRA, ANA CLÁUDIA BARBOSA HONÓRIO; FERREIRA, DANTON DIEGO; BARBOSA, BRUNO HENRIQUE GROENNER; ALINE DE OLIVEIRA, UIARA; APARECIDA PADUA, ESTEFÂNIA; OLIVEIRA CHIARINI, FELIPE; BAENA DE MORAES LOPES, MARIA HELENA. Neural network-based method to stratify people at risk for developing diabetic foot: A support system for health professionals. PLoS One, v. 18, p. e0288466, 2023.
2023	DE MELO BORGES, FERNANDO ELIAS; MOTA, OTAVIO FIDELIS; FERREIRA, DANTON DIEGO; BARBOSA, BRUNO HENRIQUE GROENNER. One-class classifier based on principal curves. NEURAL COMPUTING & APPLICATIONS, v. 35, p. 19015-19024, 2023.
2023	LACERDA, TALLES HUDSON SOUZA; DE JESUS FRANÇA, LUCIANO CAVALCANTE; LOPES, ISÁIRA LEITE E; LACERDA, SÂMMILLY LORRAYNE SOUZA; FIGUEIREDO, EVANDRO ORFANÓ; BARBOSA, BRUNO HENRIQUE GROENNER; SILVA, CAROLINA SOUZA JAROCHINSKI E; GOMIDE, LUCAS REZENDE. Multi-objective forest harvesting under sustainable and economic principles. JOURNAL OF FORESTRY RESEARCH, v. 1, p. 1, 2023.
2022	MORAIS, G. A. P.; MARCOS, L. B.; BARBOSA, F. M.; BARBOSA, B.H.G.; TERRA, M. H.; GRASSI JR, V. Robust path-following control design of heavy vehicles based on multiobjective evolutionary optimization. EXPERT SYSTEMS WITH APPLICATIONS, v. 192, p. 116304, 2022.
2022	NUNES MIRANDA, EVANDRO; HENRIQUE GROENNER BARBOSA, BRUNO; HENRIQUE GODINHO SILVA, SERGIO; AUGUSTO USSI MONTI, CASSIO; YUE PHIN TNG, DAVID; REZENDE GOMIDE, LUCAS. Variable selection for estimating individual tree height using genetic algorithm and random forest. FOREST ECOLOGY AND MANAGEMENT, v. 504, p. 119828, 2022.
2022	HASKARI, H.; XU, N.; BARBOSA, B.H.G.; HUANG, Y.; CHEN, L.; KHAJEPOUR, A.; CHEN, H.; WANG, Z. L. Intelligent systems using triboelectric, piezoelectric, and pyroelectric nanogenerators. Materials Today, v. 1, p. 1, 2022.
2022	ROCHA, JAMPIERRE VIERA; MAGALHÃES, RICARDO RODRIGUES; CARVALHO, LUIZ GONSAGA DE; DIOTTO, ADRIANO VALENTIM; BARBOSA, BRUNO HENRIQUE GROENNER. Development of a low-cost weather station and real-time monitoring for automated irrigation management. ACTA SCIENTIARUM-TECHNOLOGY, v. 44, p. e59244, 2022.
2022	ALVARENGA, TAÍS APARECIDA; SANTOS, LUÍS OTÁVIO; RODRIGUEZ, DEMOSTENES ZEGARRA; FERREIRA, DANTON; BARBOSA, BRUNO HENRIQUE GROENNER; SEIXAS, JOSÉ. Unsupervised Class-Expert Learning for Supporting Covid-19 Triage Based on Computed Tomography Data. LEARNING AND NONLINEAR MODELS, v. 20, p. 74-88, 2022.
2022	BARBOSA, BRUNO HENRIQUE GROENNER; XU, NAN; ASKARI, HASSAN; KHAJEPOUR, AMIR. Lateral Force Prediction Using Gaussian Process Regression for Intelligent Tire Systems. IEEE Transactions On Systems Man Cybernetics-Systems, v. 52, p. 5332-5343, 2022.
2021	FREITAS, LEANDRO; Barbosa, Bruno H.G.; Aguirre, Luis A. Including steady-state information in nonlinear models: An application to the development of soft-sensors. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, v. 102, p. 104253, 2021.
2021	ISAAC JÚNIOR, MARCOS ANTONIO; BARBOSA, BRUNO HENRIQUE GROENNER; GOMIDE, LUCAS REZENDE; CALEGARIO, NATALINO; FIGUEIREDO, EVANDRO ORFANÓ; MORAS FILHO, LUIZ OTÁVIO; MELO, ELLIEZER DE ALMEIDA; DANTAS, DANIEL. REDUCED-IMPACT LOGGING BY ALLOCATING LOG-DECKS USING MULTI-OBJECTIVE EVOLUTIONARY ALGORITHM IN WESTERN AMAZON. Revista Árvore (on-line), v. 45, p. 1, 2021.
2021	BARBOSA, B.H.G.; BHATT, N. P.; KHAJEPOUR, A.; HASHEMI, E. Soft Constrained Autonomous Vehicle Navigation using Gaussian Processes and Instance Segmentation. ArXiv, v. 1, p. 2101.0690, 2021.
2021	DE MOURA, MARCUS VINICIUS FERREIRA; MARQUES, LEOMAR SANTOS; BARBOSA, BRUNO HENRIQUE GROENNER; MAGALHÃES, RICARDO RODRIGUES. Multiobjective Genetic Algorithm applied to inverse finite element analysis: T-joint welding case study. WELDING INTERNATIONAL, v. 1, p. 1-12, 2021.
2021	ANDRADE, VINÍCIUS HENRIQUE GOMES ZUPPA DE; REDMILE-GORDON, MARC; BARBOSA, BRUNO HENRIQUE GROENNER; ANDREOTE, FERNANDO DINI; ROESCH, LUIZ FERNANDO WURDIG; PYLRO, VICTOR SATLER. Artificially intelligent soil quality and health indices for -next generation? food production systems. TRENDS IN FOOD SCIENCE & TECHNOLOGY, v. 107, p. 195-200, 2021.
2020	BORGES, FERNANDO ELIAS DE MELO; BARBOSA, TÁSSIO SPURI; FERREIRA, DANTON DIEGO; PINTO, ANDREY WILLIAN MARQUES; MAGALHÃES, RICARDO R; BARBOSA, BRUNO HENRIQUE GROENNER; PEREIRA, DANIEL AUGUSTO. HIGHER-ORDER STATISTICS AND SUPPORT VECTOR MACHINES APPLIED TO FAULT DETECTION IN A CANTILEVER BEAM. Theoretical and Applied Engineering, v. 4, p. 1-8, 2020.
2020	BORGES, FERNANDO; PINTO, ANDREY; RIBEIRO, DIOGO; BARBOSA, TASSIO; PEREIRA, DANIEL; MAGALHAES, RICARDO; BARBOSA, BRUNO; FERREIRA, DANTON. An Unsupervised Method based on Support Vector Machines and Higher-Order Statistics for Mechanical Faults Detection. IEEE Latin America Transactions, v. 18, p. 1093-1101, 2020.
2020	NAGATA, ERICK A.; FERREIRA, DANTON D.; BOLLEN, MATH H.J.; Barbosa, Bruno H.G.; RIBEIRO, EDUARDO G.; DUQUE, CARLOS A.; RIBEIRO, PAULO F. Real-time voltage sag detection and classification for power quality diagnostics. MEASUREMENT, v. 164, p. 108097, 2020.
2020	MORAES, ELSON CLAUDIO CORREA; FERREIRA, DANTON DIEGO; VITOR, GIOVANI BERNARDES; BARBOSA, BRUNO HENRIQUE GROENNER. Data clustering based on principal curves. Advances in Data Analysis and Classification, v. 14, p. 77-96, 2020.
2019	LEME, D. S.; SILVA, S. A.; BARBOSA, BRUNO HENRIQUE GROENNER; BOREM, F. M.; PEREIRA, R. G. F. A. Recognition of coffee roasting degree using a computer vision system. COMPUTERS AND ELECTRONICS IN AGRICULTURE, v. 156, p. 312-317, 2019.
2019	DIAS, GEORGE LUCAS; MAGALHÃES, RICARDO RODRIGUES; FERREIRA, DANTON DIEGO; BARBOSA, BRUNO HENRIQUE GROENNER. Young's Modulus and Poisson's Ratio Estimation Based on PSO Constriction Factor Method Parameters Evaluation. International Journal of Manufacturing, Materials, and Mechanical Engineering, v. 9, p. 33-46, 2019.
2019	MORAIS, G. A. P.; BARBOSA, B.H.G.; Ferreira, D. D.; PAIVA, L. S. Soft Sensors Design in a Petrochemical Process using an Evolutionary Algorithm. MEASUREMENT, p. 106920, 2019.
2019	MARTINS MENDES, THAIS; RODRIGUES SOUZA FARIA, EULER; APARECIDO VIZIOLI PERLE, LUCAS; GODINHO RIBEIRO, EDUARDO; DIEGO FERREIRA, DANTON; HENRIQUE GROENNER BARBOSA, BRUNO; AUGUSTO DUQUE, CARLOS. Detection of Power Quality Disturbance using a Multidimensional Approach in an Embedded System. IEEE Latin America Transactions, v. 17, p. 1102-1108, 2019.
2019	Barbosa, Bruno H.G.; Aguirre, Luis A.; BRAGA, ANTONIO P. Piecewise affine identification of a hydraulic pumping system using evolutionary computation. IET Control Theory and Applications, v. 13, p. 1394-1403, 2019.
2018	RIBEIRO, EDUARDO G.; MENDES, THAIS M.; DIAS, GUILHERME L.; FARIA, EULER R.S.; VIANA, FELIPE M.; Barbosa, Bruno H.G.; FERREIRA, DANTON D. Real-Time System for Automatic Detection and Classification of Single and Multiple Power Quality Disturbances. MEASUREMENT, v. 128, p. 276-283, 2018.
2017	Aguirre, Luis A.; TEIXEIRA, BRUNO O.S.; Barbosa, Bruno H.G.; TEIXEIRA, ALEX F.; CAMPOS, MARIO C.M.M.; MENDES, EDUARDO M.A.M. Development of soft sensors for permanent downhole Gauges in deepwater oil wells. CONTROL ENGINEERING PRACTICE, v. 65, p. 83-99, 2017.
2017	ZAMBALDI, EDIMILSON; MAGALHÃES, RICARDO R.; Barbosa, Bruno H.G.; DA SILVA, SANDRO P.; FERREIRA, DANTON D. Lowcost automated control for steel heat treatments. APPLIED THERMAL ENGINEERING, v. 114, p. 163-169, 2017.
2016	DE OLIVEIRA, EMANUELLE MORAIS; LEME, DIMAS SAMID; BARBOSA, BRUNO HENRIQUE GROENNER; RODARTE, MIRIAN PEREIRA. A computer vision system for coffee beans classification based on computational intelligence techniques. Journal of Food Engineering, v. 171, p. 22-27, 2016.
2016	NAVES, RAPHAEL; Barbosa, Bruno H.G.; FERREIRADANTON. Classification of Lung Sounds using Higher-Order Statistics: A divide-and-conquer approach. Computer Methods and Programs in Biomedicine (Print), v. 129, p. 12-20, 2016.
2016	GUEDES, JUAN D.S.; FERREIRA, DANTON D.; Barbosa, Bruno H.G. A non-intrusive approach to classify electrical appliances based on higher-order statistics and genetic algorithm: a smart grid perspective. Electric Power Systems Research (Print), v. 1, p. 65-69, 2016.
2016	BARBOSA, TÁSSIO S.; FERREIRA, DANTON D.; PEREIRA, DANIEL A.; MAGALHÃES, RICARDO R.; Barbosa, Bruno H. G. Fault Detection and Classification in Cantilever Beams Through Vibration Signal Analysis and Higher-Order Statistics. Journal of Control, Automation and Electrical Systems, v. 27, p. 535-541, 2016.
2015	MAGALHAES, R.R.; BRAGA, R.A.; BARBOSA, B.H.G. Young-s Modulus evaluation using Particle Image Velocimetry and Finite Element Inverse Analysis. Optics and Lasers in Engineering, v. 70, p. 33-37, 2015.
2015	GUEDES, J. D. S.; Ferreira, D. D.; BARBOSA, B.H.G.; DUQUE, C. A.; CERQUEIRA, A. S. Non-Intrusive Appliance Load Identification Based on Higher-Order Statistics. Revista IEEE América Latina, v. 13, p. 3343-3349, 2015.
2014	SILVA, REBECA N.; Barbosa, Bruno H.G.; FERREIRA, DANTON D.; FERREIRA, ANA C.B.H. Non-invasive method to analyse the risk of developing diabetic foot. Healthcare Technology Letters, v. 1, p. 109-113, 2014.
2013	BARBOSA, BRUNO HENRIQUE GROENNER; FERREIRA, DANTON DIEGO. Classification of Multiple and Single Power Quality Disturbances Using a Decision Tree-Based Approach. Journal of Control, Automation and Electrical Systems, v. 24, p. 1-11, 2013.
2011	Barbosa, Bruno H. G.; Bui, Lam T.; Abbass, Hussein A.; Aguirre, Luis A.; Braga, Antônio P. The use of coevolution and the artificial immune system for ensemble learning. Soft Computing (Berlin. Print), v. 15, p. 1735-1747, 2011.
2011	BARBOSA, B. H. G.; Aguirre, L. A.; Martinez, Carlos Barreira; Braga, Antônio P. Black and Gray-Box Identification of a Hydraulic Pumping System. IEEE Transactions on Control Systems Technology (Print), v. 19, p. 398-406, 2011.
2010	Faria, Marco Tulio C.; Paulino, O. G.; Henrique de Oliveira, Fernando; Barbosa, Bruno Henrique; Martinez, Carlos Barreira. Influence of Mechanical Draft Tube Fish Barrier on the Hydraulic Thrust of Small Francis Turbines. Journal of Hydraulic Engineering (New York, N. Y.), v. 136, p. 924, 2010.
2010	Aguirre, Luis A.; Barbosa, Bruno H.G.; Braga, Antônio P. Prediction and simulation errors in parameter estimation for nonlinear systems. Mechanical Systems and Signal Processing, v. 24, p. 2855-2867, 2010.

Published book chapters

Year	Book Chapter
2023	Ferreira, D. D.; SANTOS, L. O.; ALVARENGA, T. A.; RODRIGUEZ, D. Z.; BARBOSA, B.H.G.; FERREIRA, A. C. B. H.; ALVES, D. F. S.; CARMONA, E. V.; DURAN, E. C. M.; LOPES, M. H. B. M. Applications of digital and smart technologies to control SARS-CoV-2 transmission, rapid diagnosis, and monitoring. In: Debmalya Barh and Vasco Azevedo. (Org.). Omics approaches and technologies in COVID-19. 1ed.: Academic Press, 2023, v. 1, p. 405-425.
2010	BARBOSA, B. H. G.; Aguirre, L. A.; MARTINEZ, C. B. Instrumentação e controle de uma bancada de bombeamento. In: Heber Pimentel Gomes. (Org.). SISTEMAS DE SANEAMENTO - Eficiência Energética. 1ed. João Pessoa: Editora Universitária/UFPB, 2010, v. 1, p. 247-258.
2010	Cavazzana, E.; BARBOSA, B. H. G.; TORRES, L. A. B.; MARTINEZ, C. B. Comparação de modelos caixa-branca e caixa-preta de um sistema de bombeamento hidráulico real utilizando conversores de frequência. In: Heber Pimentel Gomes. (Org.). SISTEMAS DE SANEAMENTO - Eficiência Energética. 1ed. João Pessoa: Editora Universitária/UFPB, 2010, v. 1, p. 293-302.
2008	BARBOSA, B. H. G.; BUI, L. T.; Abbass, H. A.; Aguirre, L. A.; Braga, A. P. Evolving an Ensemble of Neural Networks Using Artificial Immune Systems. Lecture Notes in Computer Science. 1ed.: Springer Berlin Heidelberg, 2008, v., p. 121-130.

Full papers published in conference proceedings

Year	Conference Proceedings
2024	SERENINI, D. B.; BARBOSA, B. H. G.; LIMA, D. A.; SANTOS, R. A. . Estimação de Distância de Marcos Visuais por Segmentação de Imagens e Processos Gaussianos. In: Simpósio Brasileiro de Automação Inteligente, 2024, Rio de Janeiro. SBAI2024, 2024. v. 1. p. 1-8.
2024	MACEDO, B. S.; MACEDO, P. S.; BARBOSA, B. H. G.; VALADARES, C. M.; DIAS, P. M.; SAPORETTI, C. M.; GOLIATT, L. . Socioeconomic analysis of students who took Enem between 2019 and 2022 using machine learning. In: XLV Ibero-Latin American Congress on Computational Methods in Engineering, 2024, Maceió. CILAMCE2024, 2024. v. 1. p. 1-7.
2023	SANTOS, R. A.; FORTUNATO, D. A.; Ferreira, D. D.; BARBOSA, BRUNO HENRIQUE GROENNER. Classificação de Sons Pulmonares com Técnica de Few-Shot Learning. In: Congresso Brasileiro de Inteligência Computacional, 2023, Salvador. CBIC2023, 2023. v. 1. p. 1-8.
2023	CUNHA, B.; Ferreira, D. D.; BARBOSA, BRUNO HENRIQUE GROENNER. Desenvolvimento de soft sensor para poços de petróleo usando MGGP. In: Congresso Brasileiro de Inteligência Computacional, 2023, Salvador. CBIC2023, 2023. v. 1. p. 1-8.
2023	SOUZA, R. C. S.; BARBOSA, BRUNO HENRIQUE GROENNER; Ferreira, D. D.; XU, N. . Estimação da força lateral a partir da seleção de atributos de sinais de aceleração de pneus inteligentes utilizando algoritmos genéticos e SVR. In: Congresso Brasileiro de Inteligência Computacional, 2023, Salvador. CBIC2023, 2023. v. 1. p. 1-7.
2022	SOUSA, R. H.; BARBOSA, B.H.G.; FERREIRA, DANTON D.; NASCIMENTO, S. T.; SILVA, P. R. . Desenvolvimento de um Modelo Ensemble para Responder Questoes via Bancos de Dados Estruturados (KB-QA). In: XXIV Congresso Brasileiro de Automática, 2022, Fortaleza. Anais do XXIV Congresso Brasileiro de Automática - CBA 2022, 2022. p. 1-8.
2022	CHAVES, A. G. S.; BARBOSA, B.H.G.; FERREIRA, DANTON D.; SILVA, P. R.; NASCIMENTO, S. T. . Classificaçao de Produtos Utilizando Técnicas de Few-Shot Learning. In: XXIV Congresso Brasileiro de Automática, 2022, Fortaleza. Anais do XXIV Congresso Brasileiro de Automática - CBA 2022, 2022. p. 1-8.
2022	SILVA, F. C. E.; Ferreira, D. D.; BARBOSA, B.H.G.; NASCIMENTO, S. T.; SILVA, P. R. . Aprendizado few shot learning com redes neurais siamesas aplicado na classificação para E-commerce. In: XXIV Congresso Brasileiro de Automática, 2022, Fortaleza. Anais do XXIV Congresso Brasileiro de Automática - CBA 2022, 2022. p. 1-8.
2022	VIANA, D. C.; BRAGA JUNIOR, R. A.; BARBOSA, B.H.G.; CAMPOS, A. R. C. R.; Ferreira, D. D. . Turbidímetro Baseado em Processamento de Imagens: Elaboração e Avaliação de Desempenho por meio de uma Planta Piloto. In: XXIV Congresso Brasileiro de Automática - CBA 2022, 2022, Fortaleza. Anais do XXIV Congresso Brasileiro de Automática - CBA 2022, 2022. p. 1-8.
2021	NASCIMENTO, R. S.; Barbosa, Bruno H.G.; VARGAS, R. E. V.; SANTOS, I. H. F. . Detecção de anomalias em poços de petróleo surgentes com stacked autoencoders. In: Simpósio Brasileiro de Automação Inteligente, 2021, Online. SBAI2021, 2021. v. 1. p. 1-8.
2021	MOTA, F. L. O.; CASTRO, H. C.; BARBOSA, B.H.G. . Identificação de um Sistema de Bomba Hidráulica utilizando MGGP multi-objetivo. In: Simpósio Brasileiro de Automação Inteligente, 2021, Online. SBAI2021, 2021. v. 1. p. 1-7.
2021	CARDOSO, R. A.; BOREM, F. M.; BARBOSA, B.H.G. . Detecção em tempo real do pop do café durante a torrefação. In: Simpósio Brasileiro de Automação Inteligente, 2021, Online. SBAI2021, 2021. v. 1. p. 1-7.
2021	CHAVES, A. G. S.; SILVA, F. C. E.; Ferreira, D. D.; BARBOSA, B.H.G.; NASCIMENTO, S. T. . Extração de Entidades de Produtos Utilizando Técnicas de Few-Shot Learning. In: Simpósio Brasileiro de Automação Inteligente, 2021, Online. SBAI2021, 2021. v. 1. p. 1-6.
2021	ALVARENGA, T. A.; SANTOS, L. O.; RODRIGUEZ, D. Z.; Ferreira, D. D.; BARBOSA, B.H.G.; SEIXAS, J. M. . Algoritmos Não-Supervisionados para Suporte à Tomada de Decisão e Diagnóstico de Covid-19 usando Dados de Tomografia Computadorizada. In: Congresso Brasileiro de Inteligência Computacional, 2021, Online. CBIC2021, 2021. v. 1. p. 1-8.
2021	CARDOSO, R. A.; BOREM, F. M.; BARBOSA, B.H.G. . Sistema de Monitoramento em Tempo Real da Cor e Temperatura dos Grãos de Café Durante a Torrefação. In: Congresso Brasileiro de Inteligência Computacional, 2021, Online. CBIC2021, 2021. v. 1. p. 1-6.
2021	ABREU, L. F.; BARBOSA, B.H.G.; Aguirre, Luis A. . A Fast Algorithm for Training Dynamical Neural Networks Using Steady-State Prior Information of Offshore Oil Platform. In: Ibero-Latin-American Congress on Computational Methods in Engineering, 2021, Rio de Janeiro. Proceedings of the Ibero-Latin-American Congress on Computational Methods in Engineering, 2021. v. 1. p. 1-7.
2021	NASCIMENTO, R. S.; BARBOSA, B.H.G.; VARGAS, R. E. V.; SANTOS, I. H. F. . Fault Detection with Stacked Autoencoders and Pattern Recognition Techniques in Oil Wells Operated by Gas Lift. In: Ibero-Latin-American Congress on Computational Methods in Engineering, 2021, Rio de Janeiro. Proceedings of the Ibero-Latin-American Congress on Computational Methods in Engineering, 2021. v. 1. p. 1-7.
2020	CASTRO, H. C.; GROENNER BARBOSA, BRUNO HENRIQUE . Multi-gene Genetic Programming for Structure Selection of Polynomial NARMAX models. In: XXIII Congresso Brasileiro de Automática, 2020, Santa Maria. CBA2020, 2020. v. 1. p. 1-8.
2020	SILVA, F. C. E.; SOUSA, R. H.; CHAVES, A. G. S.; GROENNER BARBOSA, BRUNO HENRIQUE; Ferreira, D. D. . Classificador Fuzzy-genético aplicado ao processamento de linguagem natural. In: XXIII Congresso Brasileiro de Automática, 2020, Santa Maria. CBA2020, 2020. v. 1. p. 1-7.
2020	Paula, Anderson da Silva; BARBOSA, B.H.G.; SILVA, S. P.; PEREIRA, J. R. D.; Ferreira, D. D. . Detecção de Sujidade do Transportador de Carrocerias em Cabine de Pintura Automotiva com Visão Computacional. In: XXIII Congresso Brasileiro de Automática, 2020, Santa Maria. CBA2020, 2020. v. 1. p. 1-8.
2020	RESENDE, I. C.; CARDOSO, L. A.; FERREIRA, ANA C.B.H.; BARBOSA, B.H.G.; Ferreira, D. D. . Identificação de Diabéticos com Alto Risco de Desenvolver o Pé Diabético. In: XXIII Congresso Brasileiro de Automática, 2020, Santa Maria. CBA2020, 2020. v. 1. p. 1-8.
2020	NASCIMENTO, R. S.; BARBOSA, B.H.G.; VARGAS, R. E. V.; HUMBERTO, I. . Detecção de falhas com Stacked Autoencoders e técnicas de reconhecimento de padrões em poços de petróleo operados por gas lift. In: XXIII Congresso Brasileiro de Automática, 2020, Santa Maria. CBA2020, 2020. v. 1. p. 1-8.
2020	MOTA, F. L. O.; CARVALHO, G. S.; CASTRO, H. C.; BARBOSA, B.H.G. . Identificação de um Sistema de Bombeamento Hidráulico com Algoritmo Evolucionário Multiobjetivo. In: XXIII Congresso Brasileiro de Automática, 2020, Santa Maria. CBA2020, 2020. v. 1. p. 1-8.
2020	FERREIRA, F. A.; Ferreira, D. D.; BARBOSA, B.H.G. . Índice de validação de agrupamento de dados baseado em curvas principais. In: XXIII Congresso Brasileiro de Automática, 2020, Santa Maria. CBA2020, 2020. v. 1. p. 1-8.
2019	FERREIRA, F. A.; BRAGA, A. A.; Ferreira, D. D.; BARBOSA, B. H. G. . Método de Agrupamento Iterativo Baseado em Curvas Principais. In: Simpósio Brasileiro de Automação Inteligente, 2019, Ouro Preto. SBAI2019, 2019. v. 1. p. 1-6.
2019	CORREA JUNIOR, D.; PAULA, F. O.; ANDRADE, D. H. C.; FONTES, G. H. O. E.; BARBOSA, B. H. G.; VOLPATO, C. E. S. . Sistema Embarcado para Monitoramento de Desempenho de Tratores Agrícolas em Tempo Real. In: Simpósio Brasileiro de Automação Inteligente, 2019, Ouro Preto. SBAI2019, 2019. v. 1. p. 1-6.
2019	DIAS, G. L.; MOTA, F. L. O.; RIBEIRO, E. G.; BARBOSA, B. H. G.; Ferreira, D. D.; NETO, E.; GOMES, L. T. . Classificação de Sons Pulmonares com Redes Convolucionais e SVM. In: Simpósio Brasileiro de Automação Inteligente, 2019, Ouro Preto. SBAI2019, 2019. v. 1. p. 1-6.
2019	CASTRO, H. C.; BARBOSA, BRUNO HENRIQUE GROENNER . Algoritmos Multi-Objetivos para Detecção de Estruturas em Modelos NARX utilizando técnicas PEM e SEM. In: Simpósio Brasileiro de Automação Inteligente, 2019, Ouro Preto. SBAI2019, 2019. v. 1. p. 1-6.
2019	ALCANTARA, I. F. P.; Barbosa, Bruno H. G.; Ferreira, D. D. . Detecção de Distúrbios em Qualidade de Energia usando modelos NARX Neurais. In: Simpósio Brasileiro de Automação Inteligente, 2019, Ouro Preto. SBAI2019, 2019. v. 1. p. 1-6.
2019	MOTA, F. L. O.; CARVALHO, G. S.; Ferreira, D. D.; SILVA, F. O. E.; BARBOSA, B. H. G. . Classificação de sons pulmonares utilizando Redes Neurais Artificiais: uma abordagem dividir para conquistar. In: XXVIII Congresso da Pós-Graduação da UFLA, 2019, Lavras. XXVIII Congresso da Pós-Graduação da UFLA, 2019. v. 1. p. 1-6.
2019	NASCIMENTO, R. S.; Barbosa, Bruno H. G. . Detecção de falhas em poços de petróleo com elevação artificial por gas-lift com utilização de stacked autoencoders em conjunto com uma função softmax. In: XXVIII Congresso da Pós-Graduação da UFLA, 2019, Lavras. XXVIII Congresso da Pós-Graduação da UFLA, 2019. v. 1. p. 1-6.
2018	BRAZ, P. H. A.; Barbosa, Bruno Henrique; LIMA, D. A.; C. NETO, G. L. . Desenvolvimento de um Sensor Virtual para a Velocidade Longitudinal de um Automóvel. In: Congresso Brasileiro de Automática, 2018, João Pessoa. Anais do CBA2018, 2018. v. 1. p. 1-8.
2018	RIBEIRO, EDUARDO G.; NAGATA, E. A.; BARBOSA, BRUNO HENRIQUE GROENNER; Ferreira, D. D. . Implementação de Sistema para Detecção e Classificação Automática de Sags em Sistemas Trifásicos. In: Congresso Brasileiro de Automática, 2018, João Pessoa. Anais do CBA2018, 2018. v. 1. p. 1-8.
2018	SOUZA, A. G.; SILVA, M. J.; FERREIRA, S. C.; LACERDA, W. S.; Barbosa, Bruno H. G. . Otimização TLBO para Ajuste de Parâmetros de Controle de um PLL Baseado na Referência Síncrona. In: Congresso Brasileiro de Automática, 2018, João Pessoa. Anais do CBA2018, 2018. v. 1. p. 1-8.
2018	BRAGA, A. A.; Ferreira, D. D.; BARBOSA, BRUNO HENRIQUE GROENNER . Seleção automática de parâmetros iniciais do algoritmo k-segmentos com teaching-learning-based optimization. In: Congresso Brasileiro de Automática, 2018, João Pessoa. Anais do CBA2018, 2018. v. 1. p. 1-8.
2018	PAULA, F. O.; BARBOSA, BRUNO HENRIQUE GROENNER; OLIVEIRA, S.; LASMAR JUNIOR, E. L.; FONTES, G. H. O. E.; VOLPATO, C. E. S. . Utilização do Protocolo MQTT e Framework ROS na Instrumentação de Tratores Agrícolas. In: Congresso Brasileiro de Automática, 2018, João Pessoa. Anias do CBA2018, 2018. v. 1. p. 1-8.
2018	DIAS, G. L.; MOTA, F.; BARBOSA, B. H. G.; FERREIRA, DANTON D.; NETO, E. . Classificador de Sons Pulmonares: Uma Abordagem Baseada em FFT e Máquina De Vetor De Suporte. In: Congresso Brasileiro de Automática, 2018, João Pessoa. Anais do CBA2018, 2018. v. 1. p. 1-8.
2018	BOCOLI, A. J.; RUFINO JUNIOR, C. A.; PAULA, F. O.; COSTA, L. H.; BARBOSA, BRUNO HENRIQUE GROENNER; FERREIRA, DANTON DIEGO; TEIXEIRA, A. F. . Desenvolvimento de um Soft-sensor para Pressão de Fundo de Poço de Petróleo utilizando Redes Neurais Recorrentes. In: 13th IEEE/IAS International Conference on Industry Applications, 2018, São Paulo. INDUSCON2018, 2018. v. 1. p. 1-8.
2017	NAGATA, E. A.; BARBOSA, B. H. G.; DUQUE, C. A.; Ferreira, D. D. . Método de Classificação de Afundamentos de Tensão em Rede com Geração Distribuída. In: Congresso Brasileiro de Qualidade de Energia Elétrica, 2017, Curitiba. CBQEE-2017, 2017. v. 1. p. 1-7.
2017	MENDES, T. M.; Ferreira, D. D.; BARBOSA, B. H. G. . Sistema de Classificação de Distúrbios baseado no conceito de Detecção de Novidade. In: Congresso Brasileiro de Qualidade de Energia Elétrica, 2017, Curitiba. CBQEE-2017, 2017. v. 1. p. 1-7.
2017	GARCIA, C.; CATALANO, M.; SOARES, E.; BARBOSA, B. H. G. . Teaching-Learning-Based Optimization no Treinamento de Redes Neurais Artificiais para Problemas de Classificação. In: XIII Congresso Brasileiro de Inteligência Computacional, 2017, Niterói. CBIC 2017, 2017. v. 1. p. 1-6.
2017	MOTA, F.; DIAS, G. L.; RIBEIRO, E. G.; BARBOSA, B.H.G.; FERREIRA, D. D.; NETO, E. . Detecção de Anormalidades em Sons Pulmonares Baseada em FFT e Máquinas de Vetores Suporte. In: XIII Congresso Brasileiro de Inteligência Computacional, 2017, Niterói. CBIC 2017, 2017. v. 1. p. 1-6.
2017	BORGES, F. E. M.; PINTO, A. W. M.; PEREIRA, D. A.; BARBOSA, B.H.G.; MAGALHAES, R. R.; FERREIRA, D. D.; BARBOSA, TÁSSIO S. . Utilização De Estatísticas de Ordem Superior Na Detecção De Falhas Estruturais Em Vigas. In: XIII Congresso Brasileiro de Inteligência Computacional, 2017, Niterói. CBIC 2017, 2017. v. 1. p. 1-6.
2017	PINTO, A. W. M.; BORGES, F. E. M.; PEREIRA, DANIEL A.; BARBOSA, BRUNO HENRIQUE GROENNER; MAGALHAES, R. R.; FERREIRA, DANTON D.; BARBOSA, TÁSSIO S. . Utilização de EOS na Detecção de Falhas Estruturais em Vigas. In: XXXV Simpósio Brasileiro de Telecomunicações e Processamento de Sinais, 2017, São Pedro. Anais do XXXV Simpósio Brasileiro de Telecomunicações e Processamento de Sinais, 2017. p. 272-276.
2016	Fonseca, B. E.; BARBOSA, B.H.G.; CORREA, J. L. G. . Identificação de um Secador Ciclônico por Meio de Sistemas Fuzzy e PSO. In: XXI Congresso Brasileiro de Automática, 2016, Vitória/ES. Anais do XXI Congresso Brasileiro de Automática, 2016. p. 1-6.
2016	SCHMIELE, E. F.; BARBOSA, B.H.G.; FERREIRA, DANTON DIEGO . Classificação de Movimentos em Sinais de Eletromiograma Utilizando Estatística de Ordem Superior. In: XXI Congresso Brasileiro de Automática, 2016, Vitória/ES. Anais do XXI Congresso Brasileiro de Automática, 2016. p. 1-6.
2016	MENDES, T. M.; FARIA, E. R. S.; Barbosa, Bruno H. G.; FERREIRA, DANTON D.; PERLE, L. A. V. . Monitoramento Multidimensional de Qualidade de Energia Elétrica para Smart Grids: Implementação em FPGA e LABVIEW. In: XXI Congresso Brasileiro de Automática, 2016, Vitória/ES. Anais do XXI Congresso Brasileiro de Automática, 2016. p. 1-6.
2016	GOMES, F. P.; BARBOSA, B. H. G. . Classificação de Sons Pulmonares Baseada em Máquinas de Vetores Suporte e Análise no Domínio da Frequência. In: XXI Congresso Brasileiro de Automática, 2016, Vitória/ES. Anais do XXI Congresso Brasileiro de Automática, 2016. p. 1-6.
2016	RIBEIRO, E. G.; DIAS, G. L.; BARBOSA, B. H. G.; FERREIRA, DANTON D.; FARIA, E. R. S. . Sistema de Classificação Automática de Distúrbios Elétricos em Tempo Real para Qualidade de Energia Elétrica. In: XXI Congresso Brasileiro de Automática, 2016, Vitória/ES. Anais do XXI Congresso Brasileiro de Automática, 2016. p. 1-6.
2016	MORAIS, G. A. P.; BARBOSA, B. H. G. . Algoritmo de Evolução com Diferenciação Numérica para Ajuste de Estruturas de Sensores Virtuais em um Processo Petroquímico. In: XXI Congresso Brasileiro de Automática, 2016, Vitória/ES. Anais do XXI Congresso Brasileiro de Automática, 2016. p. 1-6.
2016	MENDES, T. M.; FERREIRA, DANTON D.; BARBOSA, B. H. . Monitoramento da Qualidade de Energia Elétrica Baseado em Algoritmos Genéticos e Máquina de Vetor Suporte. In: XXI Congresso Brasileiro de Automática, 2016, Vitória/ES. Anais do XXI Congresso Brasileiro de Automática, 2016. p. 1-6.
2016	RIBEIRO, E. G.; DIAS, G. L.; BARBOSA, B. H. G.; FERREIRA, DANTON D. . Real-time system for automatic classification of power quality disturbances. In: 17th edition of International Conference on Harmonics and Quality of Power (ICHQP), 2016, Belo Horizonte/MG. 17th edition of International Conference on Harmonics and Quality of Power (ICHQP), 2016. p. 1-6.
2015	BARBOSA, B.H.G.; GOMES, L. P.; TEIXEIRA, A. F.; Aguirre, L. A. . Downhole Pressure Estimation Using Committee Machines and Neural Networks. In: IFAC Workshop on Automatic Control in Offshore Oil and Gas Production, 2015, Florianópolis. Proceedings of the 2nd IFAC Workshop on Automatic Control in Offshore Oil and Gas Production, 2015. v. 1.
2015	MENDES, T. M.; FERREIRA, DANTON D.; SILVA, J. P.; BARBOSA, B.H.G.; DUQUE, C. A. . Monitoramento Multidimensional de Qualidade de Energia Elétrica para Smart Grids. In: XI Conferência Brasileira sobre de Qualidade de Energia Elétrica, 2015, Campina Grande. Anais da XI CBQEE, 2015.
2015	NAVES, R.; BARBOSA, B.H.G.; Ferreira, D. D. . Aplicação de Máquinas de Vetores Suporte na Classificação de Sons Pulmonares. In: Simpósio Brasileiro de Automação Inteligente, 2015, Natal. SBAI2015, 2015.
2014	NAVES, R.; BARBOSA, B. H. G.; Ferreira, D. D. . Classificação de Sons Pulmonares Utilizando Estatísticas de Ordem Superior e Árvores de Decisão. In: XX Congresso Brasileiro de Automática, 2014, Belo Horizonte. Anais do XX Congresso Brasileiro de Automática, 2014. p. 1196-1202.
2013	SILVA, R. N.; CARVALHO, V. A.; BORGES, A. P. R.; Ferreira, A. C. B. H.; Ferreira, D. D.; Barbosa, Bruno H.G. . Identificação de Pacientes Diabéticos com Potencial para Desenvolver o Pé Diabético. In: XI Congresso Brasileiro de Inteligência Computacional, 2013, Porto de Galinhas. Anais do XI Congresso Brasileiro de Inteligência Computacional, 2013. v. 1. p. 1-6.
2012	Teixeira, B. O. S.; TEIXEIRA, A. F.; Aguirre, Luis A.; GOMES, L. P.; BARBOSA, B. H. G. . UKF-Based Data-Driven Soft Sensing: A Case Study of a Gas-Lifted Oil Well. In: 16th IFAC Symposium on System Identification (SysID), 2012, Bruxelas. Proceedings of16th IFAC Symposium on System Identification (SysID), 2012. v. 1. p. 918-923.
2012	Santos, L. F.; BARBOSA, B. H. G. . Redes Neurais Artificiais e o Erro de Simulação na Identificação de Sistemas. In: Congresso Brasileiro de Automática, 2012, Campina Grande/Pb. XIX Congresso Brasileiro de Automática, 2012. v. 1. p. 2634-2641.
2012	ABREU, L. F.; BARBOSA, B. H. G.; TEIXEIRA, A. F.; Aguirre, L. A. . Uso de Informação Auxiliar no Treinamento de Redes Neurais: um Procedimento Bi-objetivo. In: Congresso Brasileiro de Automática, 2012, Campina Grande/Pb. XIX Congresso Brasileiro de Automática, 2012. v. 1. p. 1719-1726.
2011	BARBOSA, B. H. G.; Aguirre, L. A.; Braga, A. P. . Algoritmos Evolucionários na Identificação de Sistemas Híbridos PWA. In: Simpósio Brasileiro de Automação Inteligente, 2011, São João del Rei. Anais do X Simpósio Brasileiro de Automação Inteligente, 2011. v. 1. p. 234-240.
2011	BARBOSA, B. H. G.; Ferreira, D. D. . Uma Estrutura em Árvore para Classificação de Múltiplos Distúrbios Elétricos. In: X Congresso Brasileiro de Inteligência Computacional, 2011, Natal. X Congresso Brasileiro de Inteligência Computacional, 2011. v. 1. p. 1-8.
2007	Faria, M. T. C.; Paulino, O. G.; Oliveira, F. H.; BARBOSA, B. H.; MARTINEZ, C. B. . Experimental Investigation of the Influence of Draft Tube Flow Restrictions on the Axial Hydraulic Force on Francis Turbines. In: 19th International Congress of Mechanical Engineering, 2007, Brasília. Proceedings of 19th International Congress of Mechanical Engineering, 2007.
2007	Cavazzana, E.; BARBOSA, B. H.; TORRES, L. A. B.; MARTINEZ, C. B. . Comparison of White-Box and Black-Box Models of a Real Hydraulic Pumping System Using a Variable Speed Drive. In: 19th International Congress of Mechanical Engineering, 2007, Brasilia. Proceedings of 19th International Congress of Mechanical Engineering, 2007.
2007	Oliveira, D. M. N.; MARTINEZ, C. B.; Gonzalez, M. L.; BARBOSA, B. H. . Metodologia para Levantamento da Eficiência Energética de uma Instalação de Bombeamento de Água. In: XVII Simpósio Brasileiro de Recursos Hídricos e 8 Simpósio de Hidráulica e Recursos Hídricos dos Países de Língua Oficial Portuguesa, 2007, São Paulo. XVII Simpósio Brasileiro de Recursos Hídricos e 8 Simpósio de Hidráulica e Recursos Hídricos dos Países de Língua Oficial Portuguesa, 2007.
2006	BARBOSA, B. H.; Aguirre, L. A.; MARTINEZ, C. B. . Instrumentação e Controle de uma Bancada para Ensaio de Turbinas Hidráulicas. In: Congresso Brasileiro de Automática, 2006, Salvador. Anais do Congresso Brasileiro de Automática, 2006.
2006	BARBOSA, B. H.; Aguirre, L. A.; MARTINEZ, C. B. . Modelos NARMAX Neurais na Identificação de um Sistema de Bombeamento de Água. In: Congresso Brasileiro de Automática, 2006, Salvador. Anais do Congresso Brasileiro de Automática.
2005	BARBOSA, B. H.; Aguirre, L. A.; MARTINEZ, C. B. . Instrumentação e Controle de um Sistema de Bombeamento de Água para Ensaio de Turbinas Hidráulicas. In: Seminário do Centro de Pesquisas Hidráulicas e Recursos Hídricos da UFMG, 2005, Belo Horizonte. IV Seminário do Centro de Pesquisas Hidráulicas e Recursos Hídricos da UFMG, 2005.
2004	BARBOSA, B. H. . Autômatos Celulares Fuzzy. In: Seminário do Centro de Pesquisas Hidráulicas e Recursos Hídricos da UFMG, 2004, Belo Horizonte. III Seminário do Centro de Pesquisas Hidráulicas e Recursos Hídricos da UFMG, 2004.

Extension Projects

Title	Description	Start Date	End Date
Collective Participation in Events	This project aimed to obtain funding for the participation of undergraduate students from the Control and Automation Engineering course and graduate students from the Systems and Automation Engineering program at UFLA in the Brazilian Congress of Computational Intelligence. Status: Completed; Nature: Extension.	2017	2017
Collective Participation in Events: CBA2016	This project aimed to obtain funding for the participation of undergraduate students from the Control and Automation Engineering course and graduate students from the Systems and Automation Engineering program at UFLA in the Brazilian Congress of Automation. Status: Completed; Nature: Extension.	2016	2016
Study on Energy Efficiency and Vehicle Automation	The project aims to raise awareness about the importance of clean energy, while simultaneously attracting students' attention to the need for training engineers for Brazil's development, in addition to providing basic knowledge of mechanics and electricity using a prototype produced by the group. Initially, an electric car prototype will be built to participate in the University Marathon of Energy Efficiency. This prototype will be used by the group to convey knowledge of mechanics and electricity to high school students, contextualizing the mathematics and physics topics learned in school. Status: Ongoing; Nature: Extension.	2013	Present
Development and Dissemination of Automation Solutions at UFLA	This research project aims to disseminate the importance and technologies involved in an industrial automation system. One of the main objectives is to follow the implementation of automation at the UFLA Sewage Treatment Plant and to share the techniques used through short courses. Status: Ongoing; Nature: Extension.	2013	Present
Study of Machine Learning Tools for Applications in E-Commerce	Project certified by the company OMNILOGIC INTELIGENCIA S.A. on 01/19/2021. Description: The objective of this project is to present a technical study on the applicability of machine learning tools in problems related to e-commerce, for the extraction of features from unstructured texts (present on websites or entered by users) and for improving intelligent virtual assistants, using natural language processing techniques. Status: Ongoing; Nature: Development.	2020	Present
Instrumentation and Automation of Coffee Processing Machines	Project certified by the company PINHALENSE S/A.-MAQUINAS AGRICOLAS on 01/19/2021. Description: This project focuses on the instrumentation and automation of coffee processing machines. The objectives of the instrumentation and automation are: (i) development of grain flow meters; (ii) development of a methodology for machine adjustment; and (iii) monitoring of electrical quantities for failure prevention. Status: Ongoing; Nature: Development.	2020	Present