Granular computing, control theory, machine learning, fuzzy systems, dynamical systems, neural networks, time series, optimization.

Supervision: Postdoctoral

[22] - Vania Correa Mota (2020 - 2020)
Nonstationary Weather Time Series Prediction using Multi-Criteria Evolving Fuzzy Models

[21] - Tatiane Carvalho Alvarenga (2020 - 2020)
Evolving Bayesian Fuzzy Systems

Supervision: PhD

[20] - Leticia Decker de Souza (2020 - 2022)
Data-Stream Driven Fuzzy-Granular Approaches for System Maintenance

[19] - Vania Correa Mota (2015 - 2018)
On Fuzzy Rule Based and Geostatistical Approaches for Feature Evaluation in Compost Bedded Pack Barns

Supervision: MSc

[18] - Francisco Alejandro Reinoso (2022 - ongoing)
Provisory: Brain Computer Interfaces and Neural Networks

[17] - José Hinojosa Borchers (2022 - ongoing)
Provisory: Multi-Agent Systems and Neural Control

[16] - Danielle Abreu Fortunato (2022 - ongoing)
Provisory: Incremental Neuro-Granular Network for Image Classification

[15] - Charles Carvalho de Aguiar (2019 - 2022)
Unsupervised Fuzzy eIX: evolving Internal-eXternal Fuzzy Clustering

[14] - Lucas Alves Dias Oliveira (2017 - 2020)
Reliability Centered Maintenance: A Fuzzy Classification Methodology

[13] - Tamyres Pereira (2017 - 2020)
Bottom-Up Incremental Interval Clustering from Interval Data Streams

[12] - Daniele Aparecida de Oliveira Silva (2018 - 2019)
Online Monitoring and Fuzzy Control of the Roasting Conditions of Arabica Coffee

[11] - João Paulo de Oliveira Tavares (2017 - 2019)
Evolving Granular Fuzzy Control Applied to Intelligent Vehicle Navigation

[10] - Cristiano Mesquita Garcia (2017 - 2018)
Incremental Missing Data Imputation via Modified Granular Evolving Fuzzy Model

[9] - Stella Marys Dornelas Lamounier (2016 - 2018)
Incremental Fuzzy Modeling for Early Detection and Severity Estimation of the Parkinson’s disease based on Speech Signals

[8] - Fabricio Pereira Lucas (2017 - 2018)
Evolving Granular Neural Network applied to High Impedance Fault Detection in Distribution Networks

[7] - Eduardo Almeida Soares (2015 - 2017)
Rule-based Evolving Systems for Weather Time Series Prediction

[6] - Ricardo de Paula Pouças (2015 - 2017)
Data Clouds and Granule-based Evolving Models for Spam Detection

[5] - Marcio Wladimir Santana (2015 - 2017)
Incremental Clustering of Data Streams for Power Quality Monitoring and Analysis

[4] - Sergio Ribeiro Silva (2015 - 2016)
High Impedance Fault Detection in Medium Voltage Networks Using Wavelet Transform and Evolving Artificial Neural Network

[3] - Lourenço Alves Bueno (2013 - 2015)
Evolving Ensemble of Fuzzy Models for Multivariate Time Series Prediction

[2] - Enderson Neves Cruz (2011 - 2013)
Intelligent Evolving Systems Applied to Time Series Prediction

[1] - Israel Teodoro Mendes (2011 - 2013)
Evolving Intelligent Embedded Systems

Selected Talks

[33] State-Space Evolving Granular Control of Unknown Dynamic Systems.
World Congress on Computational Intelligence, Padua, IT, 2022.

[32] Explainable Log Parsing and Online Interval Granular Classification from Streams of Words.
World Congress on Computational Intelligence, Padua, IT, 2022.

[31] Adaptive Gaussian Fuzzy Classifier for Real-Time Emotion Recognition in Computer Games.
IEEE Latin American Conference on Computational Intelligence, Temuco, CL, 2021.

[30] Incremental Learning and State-Space Evolving Fuzzy Control of Nonlinear Time-Varying Systems with
Unknown Model. 12th Conference of the European Society for Fuzzy Logic and Technology, SK, 2021.

[29] Evolving Fuzzy System Applied to Battery Charge Capacity Prediction for Fault Prognostics.
12th Conference of the European Society for Fuzzy Logic and Technology, SK, 2021.

[28] EGFC: Evolving Gaussian Fuzzy Classifier from Never-Ending Semi-Supervised Data Streams – With Application to Power Quality Disturbance Detection and Classification.
World Congress on Computational Intelligence, Glasgow, UK, 2020.

[27] Unsupervised Fuzzy eIX: Evolving Internal-eXternal Fuzzy Clustering.
IEEE Conference on Evolving and Adaptive Intelligence Systems, Bari, IT, 2020.

[26] Comparison of Evolving Granular Classifiers applied to Anomaly Detection for Predictive Maintenance in
Computing Centers. IEEE Conference on Evolving and Adaptive Intelligence Systems, Bari, IT, 2020.

[25] Multiobjective Optimization of Fully Autonomous Evolving Fuzzy Granular Models.
IEEE International Conference on Fuzzy Systems, New Orleans, US, 2019.

[24] Nonlinear Fuzzy State-Space Modeling and LMI Fuzzy Control of Overhead Cranes.
IEEE International Conference on Fuzzy Systems, New Orleans, US, 2019.

[23] Non-Supervised Classifiers based on Fuzzy Sets and Data Clouds for Spam Detection.
Brazilian Symposium on Intelligent Automation, Ouro Preto, BR, 2019.

[22] Evolving Fuzzy Granular Control Applied to Intelligent Vehicle Navigation.
Brazilian Symposium on Intelligent Automation, Ouro Preto, BR, 2019.

[21] High Impedance Fault Detection in Time-Varying Distributed Generation Systems using Adaptive Neural
Networks. World Congress on Computational Intelligence, Rio de Janeiro, BR, 2018.

[20] Cloud-Based Evolving Intelligent Method for Weather Time Series Prediction.
IEEE International Conference on Fuzzy Systems, Naples, IT, 2017.

[19] Fuzzy Clustering Methods Applied to the Evaluation of Compost Bedded Pack Barns.
IEEE International Conference on Fuzzy Systems, Naples, IT, 2017.

[18] Evolving Granular Modeling from Uncertain Data Streams.
Invited plenary talk at IEEE Conf. on Evolving and Adaptive Intelligence Systems, Natal, BR, 2016.

[17] Evolving Ensemble of Fuzzy Models for Multivariate Time Series Prediction.
IEEE International Conference on Fuzzy Systems, Istanbul, TR, 2015.

[16] Evolving Neuro-Fuzzy Network Applied to Incipient Detection of Parkinson’s Disease.
Invited talk at Pontifical Catholic University of Minas Gerais, Belo Horizonte, BR, 2015.

[15] Evolving Granular Systems.
Brazilian Conference on Intelligent Systems, São Carlos, BR, 2014.

[14] Parameter Estimation of Dynamic Fuzzy Models from Uncertain Data Streams.
North American Fuzzy Information Processing Society Conference, Boston, US, 2014.

[13] Granular Computing.
Invited talk at the Faculty of Mathematics: Federal University of Uberlandia, Uberlandia, BR, 2012.

[12] Evolving Granular Neural Network for Fuzzy Time Series Forecasting.
World Congress on Computational Intelligence, Brisbane, AU, 2012.

[11] Evolving Fuzzy Linear Regression Tree Approach for Forecasting Sales Volume of Petroleum Products.
World Congress on Computational Intelligence, Brisbane, AU, 2012.

[10] Fuzzy Granular Evolving Modeling for Time Series Prediction.
IEEE International Conference on Fuzzy Systems, Taipei, TW, 2011.

[9] Evolving Granular Neural Network for Semi-supervised Data Stream Classification.
World Congress on Computational Intelligence, Barcelona, ES, 2010.

[8] Granular Approach for Evolving Systems Modeling.
International Conf. on Information Processing and Management of Uncertainty, Dortmund, GE, 2010.

[7] Evolving Granular Classification Neural Networks.
IEEE International Joint Conference on Neural Networks, Atlanta, US, 2009.

[6] Evolving Granular Neural Networks.
Brazilian Symposium on Intelligent Automation, Brasilia, BR, 2009.

[5] Evolving Granular Neural Networks for Systems Modeling.
Brazilian Congress on Neural Networks, Ouro Preto, BR, 2009.

[4] Evolving Intelligent Systems.
Invited talk at Pontifical Catholic University of Minas Gerais, Belo Horizonte, BR, 2009.

[3] Real-Time Fault Diagnosis of Nonlinear Systems.
World Congress of Nonlinear Analysts, Orlando, US, 2008.

[2] Induction Motors Modeling and Fuzzy Logic Based Turn-To-Turn Fault Detection.
IEEE Conference on Power Engineering, Setubal, PT, 2007.

[1] Fuzzy Rule-Based Systems in Fault Diagnosis.
Invited talk at Pontifical Catholic University of Minas Gerais, Belo Horizonte, BR, 2007.

Associate Editor

2018 – Evolving Systems (Springer)
2021 – 2022 Journal of Intelligent and Fuzzy Systems

Journal Reviewer

2021 – Journal of Control, Automation and Electrical Systems
2021 – IEEE Transactions on Artificial Intelligence
2018 – Mathematics and Computers in Simulation
2018 – IEEE Transactions on Cybernetics
2017 – Signal Processing
2016 – IEEE Transactions on Industrial Electronics
2015 – Fuzzy Optimization and Decision Making
2014 – Neural Computing and Applications
2014 – Computational and Mathematical Methods in Medicine
2013 – International Journal of Machine Learning and Cybernetics
2013 – Applied Soft Computing
2013 – Expert Systems with Applications
2013 – International Journal of Electrical Power & Energy Systems
2013 – Soft Computing
2013 – Information Sciences
2012 – IEEE Transactions on Fuzzy Systems
2012 – IEEE Systems Journal
2012 – IEEE Transactions on Neural Networks and Learning Systems
2011 – Journal of Robotics
2010 – Evolving Systems

Conference Reviewer

IJCNN’23 – International Joint Conference on Neural Networks, 2023
WCCI’22 – World Congress on Computational Intelligence, 2022
IJCNN’22 – International Joint Conference on Neural Networks, 2022
OLUD’22 – I Workshop on Online Learning from Uncertain Data Streams, 2022
EAIS’22 – IEEE Conference on Evolving and Adaptive Intelligent Systems, 2022
WILF’21 – International Workshop on Fuzzy Logic and Applications, 2021
IJCNN’21 – International Joint Conference on Neural Networks, 2021
SBAI’21 – Simpósio Brasileiro de Automação Inteligente, 2021
WCCI’20 – World Congress on Computational Intelligence, 2020
IJCNN’20 – International Joint Conference on Neural Networks, 2020
CBA’20 – Congresso Brasileiro de Automática, 2020
SSCI’19 – IEEE Symposium Series on Computational Intelligence, 2019
EALS’19 – IEEE Symposium on Evolving and Autonomous Learning Systems, 2019
IJCNN’19 – International Joint Conference on Neural Networks, 2019
SBAI’19 – Simpósio Brasileiro de Automação Inteligente, 2019
CNMAC’19 – Congresso Nacional de Matemática Aplicada e Computacional, 2019
IFAC - ROCOND’18 – IFAC Symposium on Robust Control Design, 2018
NAFIPS’18 – North American Fuzzy Information Processing Society Annual Conference, 2018
EAIS’18 – IEEE Conference on Evolving and Adaptive Intelligent Systems, 2018
WCCI’18 – World Congress on Computational Intelligence, 2018
FUZZ-IEEE’18 – IEEE International Conference on Fuzzy Systems, 2018
IJCNN’18 – International Joint Conference on Neural Networks, 2018
EAIS’17 – IEEE Conference on Evolving and Adaptive Intelligent Systems, 2017
IJCNN’17 – International Joint Conference on Neural Networks, 2017
EAIS’16 – IEEE Conference on Evolving and Adaptive Intelligent Systems, 2016
WCCI’16 – World Congress on Computational Intelligence, 2016
FUZZ-IEEE’16 – IEEE International Conference on Fuzzy Systems, 2016
FUZZ-IEEE’15 – IEEE International Conference on Fuzzy Systems, 2015
SBAI’15 – Simpósio Brasileiro de Automação Inteligente, 2015
CBIC’15 – Brazilian Congress on Computational Intelligence, 2015
ICMLA’15 – International Conference on Machine Learning and Applications, 2015
SSCI’14 – IEEE Symposium Series on Computational Intelligence, 2014
WCCI’14 – World Congress on Computational Intelligence, 2014
FUZZ-IEEE’14 – IEEE International Conference on Fuzzy Systems, 2014
CBSF’14 – Brazilian Congress on Fuzzy Systems, 2014
CBA’14 – Congresso Brasileiro de Automática, 2014
ICACCI’14 – International Conference on Advances in Computing, Communications & Informatics, 2014
ICMLA’13 – International Conference on Machine Learning and Applications, 2013
FUZZ-IEEE’13 – IEEE International Conference on Fuzzy Systems, 2013
SSCI’13 – IEEE Symposium Series on Computational Intelligence, 2013
EAIS’13 – Workshop on Evolving and Adaptive Intelligent Systems, 2013
CBSF’12 – Brazilian Congress on Fuzzy Systems, 2012
WCCI’12 – World Congress on Computational Intelligence, 2012
FUZZ-IEEE’12 – IEEE International Conference on Fuzzy Systems, 2012
SBAI’11 – Simpósio Brasileiro de Automação Inteligente, 2011
FUZZ-IEEE’11 – IEEE International Conference on Fuzzy Systems, 2011
SSCI’11 – IEEE Symposium Series on Computational Intelligence, 2011
EAIS’11 – Workshop on Evolving and Adaptive Intelligent Systems, 2011
WCCI’10 – World Congress on Computational Intelligence, 2010
FUZZ-IEEE’10 – IEEE International Conference on Fuzzy Systems, 2010
ICEM’10 – International Conference on Electrical Machines, 2010
CBA’10 – Congresso Brasileiro de Automática, 2010
IEMDC’09 – IEEE International Electric Machines and Drives Conference, 2009
ICIT’08 – IEEE International Conference on Industrial Technology, 2008
IEMDC’07 – IEEE International Electric Machines and Drives Conference, 2007

Conference/Seminar/Special Session/Tutorial Organization

LA-CCI’22 – 8th Latin American Conf. on Computational Intelligence, 2022 (Chair: Fuzzy Systems track)
OLUD’22 – I Workshop Online Learning from Uncertain Data Streams, WCCI, 2022 (Organizing Committee)
EAIS’22 – IEEE Conf. on Evolving and Adaptive Intelligent Systems, 2022 (Publicity Chair/Member PC)
WILF’21 - International Workshop on Fuzzy Logic, 2021 (Member of the Scientific Committee)
SFS’21/2 – VIII Seminar on Fuzzy Systems, 2021 (General coordinator – Local event: DAT/UFLA)
CCS’21/2 – VII Colloquium on Control Systems, 2021 (General coordinator – Local event: DAT/UFLA)
EUSFLAT’21 – Conf. of the European Society for Fuzzy Logic and Technology, 2021 (Special Session Org.
SS4: Soft Computing for Evolving Data Streams: Advances on Real-Time Pattern Recognition)
CBA’20 – Brazilian Conference on Automation, 2020 (Session Chair: Intelligent Systems, Systems, Identification, and Data Science)
CCS’20/2 – VI Colloquium on Control Systems, 2021 (General coordinator – Local event: DAT/UFLA)
SFS’20/2 – VII Seminar on Fuzzy Systems, 2021 (General coordinator – Local event: DAT/UFLA)
EALS’20 – IEEE Symposium on Evolving and Autonomous Learning Systems, 2020 (Member PC)
EAIS’20 – IEEE Conf. on Evolving and Adaptive Intelligent Systems, 2020 (Publicity Chair / Member PC)
SBAI’19 – 14 Brazilian Symposium on Intelligent Automation, 2019 (Chair: Fuzzy and Granular Systems)
CCS’19/2 – V Colloquium on Control Systems, 2019 (General coordinator – Local event: DAT/UFLA)
SFS’19/2 – VI Seminar on Fuzzy Systems, 2019 (General coordinator – Local event: DAT/UFLA)
DEEP-ML’19 – Int Conf on Deep Learning and Machine Learning in Emerging Appl, 2019 (Member PC)
CCS’18/1 – IV Colloquium on Control Syst & Robotics, 2018 (General coordinator – Local event: UFLA)
SFS’18/1 – V Seminar on Fuzzy Systems, 2018 (General coordinator – Local event: DEG/UFLA)
FUZZ-IEEE’18 – IEEE International Conference on Fuzzy Systems, 2018 (Chair: Knowledge Management, Data Bases, and Information Retrieval; Chair: Fuzzy Control)
EAIS’18 – IEEE Conf. on Evolving and Adaptive Intelligent Systems, 2018 (Program committee member)
CCS’17/2 – III Colloquium on Control Systems, 2017 (General coordinator – Local event: DEG/UFLA)
SFS’17/2 – IV Seminar on Fuzzy Systems, 2017 (General coordinator – Local event: DEG/UFLA)
CCS’17/1 – II Colloquium on Control Systems, 2017 (General coordinator – Local event: DEG/UFLA)
SFS’17/1 – III Seminar on Fuzzy Systems, 2017 (General coordinator – Local event: DEG/UFLA)
EAIS’17 – IEEE Conf. on Evolving and Adaptive Intelligent Systems, 2017 (Program committee member)
CCS’16/2 – I Colloquium on Control Systems, 2016 (General coordinator – Local event: DEG/UFLA)
SFS’16 – II Seminar on Fuzzy Systems, 2016 (General coordinator – Local event: DEG/UFLA)
EAIS’16 – IEEE Conf. on Evolving and Adaptive Intelligent Systems, 2016 (Program committee member)
SFS’15 – I Seminar on Fuzzy Systems, 2015 (General coordinator – Local event: DEG/UFLA)
FUZZ-IEEE’12 – IEEE International Conference on Fuzzy Systems, 2012 (Chair: Real-World Applications V)
SBAI’11 – Brazilian Symposium on Intelligent Automation, 2011 (Session chair: Intelligent Systems III)

Thesis and Dissertation Committees

2023 PhD Thesis – Emmanuel Tavares Ferreira Affonso (CEFET-MG)
Pattern Recognition and Classification: New Algorithms and Applications

2022 MSc Dissertation – Isadora Nascimento Della Savia Braga (UFLA)
Model-based Predictive Control applied to CC-CC Converters

2022 MSc Dissertation – Charles Carvalho Aguiar (UFLA)
Unsupervised Fuzzy eIX: evolving Internal-eXternal Fuzzy Clustering

2021 PhD Thesis – Luiz Alberto Queiroz Cordovil Jr. (UFMG)
Evolving Fuzzy Granular Systems based on the Principle of Justifiable Granularity

2021 MSc Dissertation – Renato Kobayashi Jr. (PUC-MG)
Wind Turbine Simulator with Doubly-Fed Induction Generator

2021 PhD Thesis – Amanda Ortega de Castro Ayres (UNICAMP)
Evolving multitask models for machine learning

2021 MSc Dissertation – Thiago Medeiros Carvalho (PUC-RJ)
e-autoMFIS: Interpretable Model for Multivariate Time Series Prediction using a Fuzzy Inference System Committee

2021 MSc Dissertation – Andressa Stefany Silva de Oliveira (UFRN)
Macro SOSTREAM: An Evolving Density-based Clustering Algorithm

2021 MSc Dissertation – Eduardo Ravaglia Campos Queiroz (PUC-RJ)
Variable Step-Size evolving Participatory Learning with Kernel Recursive Least Squares Model applied to Gas Prices Forecasting in Brazil

2020 MSc Dissertation – Giovanni Amormino da Silva Junior (CEFET-MG)
An Efficient Incremental Imputation Method for Missing Data in Evolving Systems

2020 MSc Dissertation – Jhenifer Aline Pereira dos Anjos (PUC-MG)
Evolutionary Algorithm for Optimal Location of Distributed Generation in Power Systems

2020 MSc Dissertation – Lucas Alves Dias Oliveira (UFLA)
Reliability Centered Maintenance: A Fuzzy Classification Methodology

2020 MSc Dissertation – Tamyres Pereira (UFLA)
Bottom-Up Incremental Interval Clustering from Interval Data Streams

2020 PhD Thesis – Joelma Cristina Costa e Silva (USP)
Context-based Understanding of Pedestrian Motion in Transportation Terminals

2019 MSc Dissertation – João Paulo de Oliveira Tavares (UFLA)
Evolving Granular Fuzzy Control Applied to Intelligent Vehicle Navigation

2019 MSc Dissertation – Daniele Aparecida de Oliveira (UFLA)
Online Monitoring and Fuzzy Control of the Roasting Conditions of Arabica Coffee

2019 MSc Dissertation – Michael Hrelrison Freire da Silva (PUC-MG)
Modeling and MCSA Techniques for Induction Motors Broken Bar Detection

2019 MSc Dissertation – Mariane Militão Santana (PUC-MG)
Comparison of Genetic and Neuro-Fuzzy Methods for Distribution System Reconfiguration

2019 MSc Dissertation – Leonardo Schick (UFSCAR)
Distributed d-FuzzStream: Unsupervised Fuzzy Clustering in Continuous Data Streams

2019 MSc Dissertation – Brendo Silva Barbosa (PUC-MG)
Virtual Sensors for Detection and Location of Partial Discharge in Power Transformers

2018 MSc Dissertation – Cristiano Mesquita Garcia (UFLA)
Incremental Missing Data Imputation via Modified Granular Evolving Fuzzy Model

2018 MSc Dissertation – Stella Marys Dornelas Lamounier (UFLA)
Incremental Fuzzy Modeling for Early Detection and Severity Estimation of the Parkinson’s disease based on Speech Signals

2018 PhD Thesis – Vania Correa Mota (UFLA)
On Fuzzy Rule Based and Geostatistical Approaches for Feature Evaluation in Compost Bedded Pack Barns

2018 MSc Dissertation – Fabricio Pereira Lucas (PUC-MG)
Evolving Granular Neural Network applied to High Impedance Fault Detection in Distribution Networks

2017 MSc Dissertation – Eduardo Almeida Soares (UFLA)
Rule-based Evolving Systems for Weather Time Series Prediction

2017 MSc Dissertation – Ricardo de Paula Pouças (UFLA)
Data Clouds and Granule-based Evolving Models for Spam Detection

2017 MSc Dissertation – Rita Georgina Guimarães (UFLA)
Improving Sentiment Analysis in Social Networks using Lexical Resources and User Profiles

2017 PhD Thesis – Orlando Donato Rocha Filho (UFMA)
Maximum-Likelihood Evolving Fuzzy Clustering Applied to Nonstationary Dynamic Systems

2017 MSc Dissertation – Marcio Wladimir Santana (UFLA)
Incremental Clustering of Data Streams for Power Quality Monitoring and Analysis

2017 MSc Dissertation – Bruno Elyezer Fonseca (UFLA)
Automation of a Cyclone Particle Dryer: Computational Intelligence

2017 MSc Dissertation – Franciele Aparecida de Souza (PUC-MG)
Analysis of Artificial Neural Network Models for Electroencephalogram-based Classification of Motor Imagery

2017 MSc Dissertation – Thais Martins Mendes (UFLA)
Multidimensional Monitoring and Novelty Detection for Power Quality

2016 MSc Dissertation – Oscar Hernan Samudio Legarda (PUC-RJ)
A Fuzzy Classification System for High Dimensionality Problems

2016 MSc Dissertation – Sergio Ribeiro Silva (PUC-MG)
High Impedance Fault Detection in Medium Voltage Networks Using Wavelet Transform and Evolving Artificial Neural Network

2015 MSc Dissertation – Alcyr Silva Lacerda (PUC-MG)
Computational Intelligence Applied to Power Distribution Systems Fault Detection

2015 MSc Dissertation – Adalberto Mendes (UFLA)
Implementation of a Board Game in an Embedded System

2015 MSc Dissertation – Lourenço Alves Campos Bueno (PUC-MG)
Evolving Ensemble of Fuzzy Models for Multivariate Time Series Prediction

2015 PhD Thesis – Leandro dos Santos Maciel (UNICAMP)
Evolving Possibilistic Fuzzy Modeling

2014 PhD Thesis – Alisson Silva (UFMG)
Evolving Neuro-fuzzy Systems: New Learning Algorithms and Applications

2013 MSc Dissertation – Fernando Luis Bordignon (UNICAMP)
Extreme Learning for Uninorm-based Neurofuzzy Networks

2013 MSc Dissertation – Enderson Neves Cruz (PUC-MG)
Evolving Intelligent Systems Applied to Time Series Prediction

2011 MSc Dissertation – Luiz Eduardo Bergo Jr (PUC-MG)
Granular Evolving Neuro-Fuzzy Approach for Dynamic Coupling of Moving Trains

Other committees

2014 – 2022 MSc and PhD Qualification Exam - 5 universities - 21 times
2014 – 2022 Undergraduate Final Project - 2 universities - 22 times
2014 – 2019 Public Contest for Professors - 3 universities - 8 times