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Awarded a full Ph.D. scholarship to study AI in the U.S.A.

Published: August 01, 2015

Excited to share that I was awarded a full Ph.D. scholarship from the Brazilian government (CNPq) to pursue my doctoral studies in Artificial Intelligence at Oklahoma State University (OSU) in the United States.

Started as a Postdoctoral Researcher at USP São Carlos

Published: August 01, 2020

I am excited to share that I started a Postdoctoral Researcher position at the University of São Paulo (USP), São Carlos campus, working on a project that combines Artificial Intelligence and Computer Vision for urban flood detection.

Started as an AI Specialist at SIDIA Institute of Science and Technology

Published: June 01, 2021

I am excited to share that I started working as an Artificial Intelligence Specialist at Sidia Instituto de Ciência e Tecnologia, in Manaus (Brazil), contributing to cutting-edge research and development in Machine Learning, Computer Vision, and Deep Learning.

Started as a Senior Data Scientist at CESAR

Published: June 01, 2022

I am happy to share that I joined CESAR as a Senior Data Scientist, contributing to applied research and development projects at the intersection of Generative AI, machine learning, and software engineering.

Started as a Postdoctoral Researcher at Aalto University and FCAI

Published: March 01, 2024

I have officially started as a Postdoctoral Researcher at Aalto University, working within the Finnish Center for Artificial Intelligence (FCAI). My position is hosted by the Computational Behavior Lab, where I’ll be conducting research at the intersection of machine learning, human-computer interaction, and cognitive modeling.

Contributing as a member of the 2025 master’s admission committee for Human-Computer Interaction at Aalto University

Published: March 01, 2025

I am honored to serve as a member of the 2025 Master’s admission committee for the Human-Computer Interaction (HCI) program at Aalto University. In this role, I will actively participate in the evaluation and selection process for prospective students, reviewing applications, assessing academic and professional backgrounds, and contributing to committee discussions aimed at selecting the most talented students.

Ardak Alipova completed her Aalto Science Institute (AScI) internship under my supervision

Published: November 15, 2025

I am happy to share that I have successfully supervise my first student: Ardak Alipova from the Nazarbayev University (NU) in Kazakhstan!

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Aplicação de Redes Neurais Artificiais e Algoritmos Genéticos na Resoluçao da Cinemática Inversa de um Manipulador Robotico com 5 graus de liberdade

Published in VI Congresso Tecnológico de TI & Telecom (InfoBrasil 2013), 2013

Recommended citation: F. E. Fernandes Junior and M. K. Madrid, “Aplicação de Redes Neurais Artificiais e Algoritmos Genéticos na Resoluçao da Cinemática Inversa de um Manipulador Robotico com 5 graus de liberdade,” in VI Congresso Tecnológico de TI & Telecom (InfoBrasil 2013), Fortaleza, Brazil, 2013.
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UTILIZAÇÃO DE REDES NEURAIS ARTIFICIAIS NA RESOLUÇÃO DA CINEMÁTICA INVERSA DE UM MANIPULADOR ROBÓTICO COM 5 GRAUS DE LIBERDADE

Published in 3a Mostra Nacional de Robótica (MNR 2013), 2013

Recommended citation: F. E. Fernandes Junior and M. K. Madrid, “UTILIZAÇÃO DE REDES NEURAIS ARTIFICIAIS NA RESOLUÇÃO DA CINEMÁTICA INVERSA DE UM MANIPULADOR ROBÓTICO COM 5 GRAUS DE LIBERDADE,” in ANAIS da 3ª Mostra Nacional de Robótica (MNR 2013), Fortaleza, Brazil, Oct. 2013, pp. 450–454.
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Detection of privacy-sensitive situations for social robots in smart homes

Published in 2016 IEEE International Conference on Automation Science and Engineering (CASE), 2016

Recommended citation: F. E. Fernandes Junior, Guanci Yang, H. M. Do, and W. Sheng, “Detection of privacy-sensitive situations for social robots in smart homes,” in 2016 IEEE International Conference on Automation Science and Engineering (CASE), Fort Worth, TX, USA: IEEE, Aug. 2016, pp. 727–732. doi: 10.1109/COASE.2016.7743474.
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Cognitive orientation assessment for older adults using social robots

Published in 2017 IEEE International Conference on Robotics and Biomimetics (ROBIO), 2018

Recommended citation: F. E. Fernandes Junior, H. M. Do, K. Muniraju, W. Sheng, and A. J. Bishop, “Cognitive orientation assessment for older adults using social robots,” in 2017 IEEE International Conference on Robotics and Biomimetics (ROBIO), Macau: IEEE, Dec. 2017, pp. 196–201. doi: 10.1109/ROBIO.2017.8324417.
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Convolutional neural network-based embarrassing situation detection under camera for social robot in smart homes

Published in Sensors, 2018

Recommended citation: G. Yang, J. Yang, W. Sheng, F. E. Fernandes Junior, and S. Li, “Convolutional Neural Network-Based Embarrassing Situation Detection under Camera for Social Robot in Smart Homes,” Sensors, vol. 18, no. 5, p. 1530, May 2018, doi: 10.3390/s18051530.
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Measurement of latency on visual feedback in an immersive telepresence robotic system

Published in 2018 13th World Congress on Intelligent Control and Automation (WCICA), 2018

Recommended citation: M. Li, F. E. Fernandes Junior, W. Sheng, H. Bai, Z. Fan, and M. Liu, “Measurement Of Latency On Visual Feedback In an Immersive Telepresence Robotic System,” in 2018 13th World Congress on Intelligent Control and Automation (WCICA), Changsha, China: IEEE, Jul. 2018, pp. 1757–1762. doi: 10.1109/WCICA.2018.8630495.
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Automatic Searching and Pruning of Deep Neural Networks for Medical Imaging Diagnostic

Published in IEEE Transactions on Neural Networks and Learning Systems, 2020

Recommended citation: F. E. Fernandes Junior and G. G. Yen, “Automatic Searching and Pruning of Deep Neural Networks for Medical Imaging Diagnostic,” IEEE Trans. Neural Netw. Learning Syst., pp. 1–11, 2020, doi: 10.1109/TNNLS.2020.3027308.
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Particle Swarm Optimization of Deep Neural Networks Architectures for Image Classification

Published in Swarm and Evolutionary Computation, 2020

Recommended citation: F. E. Fernandes Junior and G. G. Yen, “Particle swarm optimization of deep neural networks architectures for image classification,” Swarm and Evolutionary Computation, vol. 49, pp. 62–74, Sep. 2019, doi: 10.1016/j.swevo.2019.05.010.
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Pruning Deep Convolutional Neural Networks Architectures with Evolution Strategy

Published in Information Sciences, 2020

Recommended citation: F. E. Fernandes Junior and G. G. Yen, “Pruning Deep Convolutional Neural Networks Architectures with Evolution Strategy,” Information Sciences, vol. 552, pp. 29–47, Apr. 2021, doi: 10.1016/j.ins.2020.11.009.
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Pruning of Generative Adversarial Neural Networks for Medical Imaging Diagnostics with Evolution Strategy

Published in Information Sciences, 2021

Recommended citation: F. E. Fernandes Junior and G. G. Yen, “Pruning of generative adversarial neural networks for medical imaging diagnostics with evolution strategy,” Information Sciences, vol. 558, pp. 91–102, May 2021, doi: 10.1016/j.ins.2020.12.086.
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An experience in the use of SCRUM and KANBAN for project development in a Waterfall environment

Published in SBQS 21: XX Brazilian Symposium on Software Quality, 2021

Recommended citation: E. F. C. da Cruz, F. E. Fernandes Junior, and E. D. Sardinha, “An experience in the use of SCRUM and KANBAN for project development in a Waterfall environment,” in XX Brazilian Symposium on Software Quality, Virtual Event Brazil: ACM, Nov. 2021, pp. 1–7. doi: 10.1145/3493244.3493267.
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A river flooding detection system based on deep learning and computer vision

Published in Multimedia Tools and Applications, 2022

Recommended citation: F. E. Fernandes Jr, L. G. Nonato, and J. Ueyama, “A river flooding detection system based on deep learning and computer vision,” Multimedia Tools and Applications, vol. 81, no. 28, pp. 40231–40251, Nov. 2022, doi: 10.1007/s11042-022-12813-3.
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An experience report on how remote device access tools helped mobile developers during the COVID-19 pandemic

Published in International Conference on Software and System Processes, 2022

Recommended citation: H. M. Rabelo, L. M. Pavelski, E. F. C. Da Cruz, and F. E. Fernandes Jr, “An experience report on how remote device access tools helped mobile developers during the COVID-19 pandemic,” in Proceedings of the International Conference on Software and System Processes and International Conference on Global Software Engineering, Pittsburgh PA USA: ACM, May 2022, pp. 115–119. doi: 10.1145/3529320.3529334.
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An evolutionary search algorithm for efficient ResNet-based architectures: a case study on gender recognition

Published in 2022 IEEE Congress on Evolutionary Computation (CEC), 2022

Recommended citation: A. R. F. Da Silva, L. M. Pavelski, L. A. Q. Cordovil Junior, P. H. De Oliveira Gomes, L. M. Azevedo, and F. E. Fernandes Jr, “An evolutionary search algorithm for efficient ResNet-based architectures: a case study on gender recognition,” in 2022 IEEE Congress on Evolutionary Computation (CEC), Padua, Italy: IEEE, Jul. 2022, pp. 1–10. doi: 10.1109/CEC55065.2022.9870434.
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FastAiAlloc: A real-time multi-resources allocation framework proposal based on predictive model and multiple optimization strategies

Published in Future Generation Computer Systems, 2023

Recommended citation: M. De S. Oliveira, F. E. Fernandes Junior, et al., “FastAiAlloc: A real-time multi-resources allocation framework proposal based on predictive model and multiple optimization strategies,” Future Generation Computer Systems, vol. 149, pp. 622–636, Dec. 2023, doi: 10.1016/j.future.2023.08.014.
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Exploring the intersection of Generative AI and Software Development

Published in arXiv, 2023

Recommended citation: F. Calegario, V. Burégio, F. E. Fernandes Junior, et al., “Exploring the intersection of Generative AI and Software Development,” Dec. 21, 2023, arXiv: arXiv:2312.14262. doi: 10.48550/arXiv.2312.14262.
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AgentForge: A Flexible Low-Code Platform for Reinforcement Learning Agent Design

Published in Proceedings of the 17th International Conference on Agents and Artificial Intelligence (ICAART 2025), 2025

Recommended citation: F. Fernandes Jr. and A. Oulasvirta, “AGENTFORGE: A Flexible Low-Code Platform for Reinforcement Learning Agent Design:,” in Proceedings of the 17th International Conference on Agents and Artificial Intelligence, Porto, Portugal: SCITEPRESS - Science and Technology Publications, 2025, pp. 351–358. doi: 10.5220/0013142900003890.
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Simulating Errors in Touchscreen Typing

Published in CHI 2025: CHI Conference on Human Factors in Computing Systems, 2025

Recommended citation: D. Shi, Y. Zhu, F. E. Fernandes Junior, S. Zhai, and A. Oulasvirta, “Simulating Errors in Touchscreen Typing,” in Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, Yokohama Japan: ACM, Apr. 2025, pp. 1–13. doi: 10.1145/3706598.3713153.
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Guest Lecture: Introduction to Deep Neural Networks

Published: October 29, 2019

Introductory guest lecture on Deep Neural Networks for undergraduate students, covering core architectures and real-world applications.

Guest Lecture: Evolutionary Computation for Deep Neural Networks

Published: October 31, 2019

Guest lecture on Evolutionary Computation techniques applied to Deep Neural Networks, covering architecture search and pruning strategies.

Fall 2018 - GTA - Computer-Based Systems (ENSC3213)

Undergraduate course, Oklahoma State University, Department of Electrical and Computer Engineering, 2018

Spring 2019 - GTA - Computer-Based Systems (ENSC3213)

Undergraduate course, Oklahoma State University, Department of Electrical and Computer Engineering, 2019

Fall 2019 - GTA - Computer-Based Systems (ENSC3213)

Undergraduate course, Oklahoma State University, Department of Electrical and Computer Engineering, 2019