About

Who Am I?

Hi I'm Rosana C Rego. Professor at Federal University Rural of Semi-Arido (UFERSA) and Ph.D. in Electrical and Computer Engineering. Huawei Certified ICT Associate – Artificial Intelligence (HCIA AI v3.0). Research interest in artificial intelligence, deep learning, data science, control theory, nonlinear control.

Artificial Intelligence

Research

Software

Application

My Specialty

My Skills

Tensorflow

85%

Python

95%

MATLAB

85%

Pandas

90%

Django

70%

Git

99%
Experience

Professional and Academic Experience

  • (2023 - Present) Vice-coordinator of Software Engineering course
  • (2022 - Present) Professor at Department of Engineering and Technology. Lectures in Algorithms and Data Structure, Algorithm Design and Analysis, and Artificial Neural Networks
  • (2022 - Present) Researcher at Computational Intelligence Laboratory - CILab
  • (2018 - 2020) Teacher at Department of Engineering and Technology. Lecture in Theory of Computation, Numerical Analysis, and Algorithms
  • (2022 - 2022) Data Scientist
  • (2021 - 2022) Optimization Developer

(2020 - 2022) Scientific research - Read More about the project

  • Federal University of Rio Grande do Norte - UFRN
    • PhD in Electrical and Computer Engineering (2020-2022)
    • Huawei iLearningX Artificial Intelligence (2020-2021) - AI Advanced (2021)
  • Federal Rural University of Semi-arid - UFERSA
    • Scientific research (2018-2019): Model predictive control
    • MSc Electrical Engineering (2018-2019) Final project
    • Scientific research (2016-2017): Smart Cities and presence sensors
    • BSc Computer Engineering (2016-2017) Final project
    • Scientific research (2014-2015): Seismic inversion
    • BSc Science and Technology (2012-2015) Final project
Supervisions

Supervisions and Guidance

Ongoing Supervisions

Scientific Initiation

  • Hillary Diniz Saldanha: Application of Artificial Intelligence Techniques for Women's Well-being: A Cycle Prediction App. Started in 2024. Undergraduate in Information Technology - Federal Rural University of Semi-arid. (Supervisor).
  • Pedro Lucas de Sousa Ferreira: Integration of Language Models for Workflow Automation and Optimization. Started in 2024. Undergraduate in Information Technology - Federal Rural University of Semi-arid. (Supervisor).
  • Leticia Maria Goncalves de Morais: Artificial Intelligence for Sign Language Recognition. Started in 2024. Undergraduate in Information Technology - Federal Rural University of Semi-arid. (Supervisor, funded by CNPq).

Completed Supervisions

Undergraduate Final Projects

  • Luis Davi da Silva Sarmento: A Systematic Review of the Impact of Artificial Intelligence on the Job Market. 2024. Undergraduate in Information Technology - Federal Rural University of Semi-arid. (Supervisor: Rosana Cibely Batista Rego).
  • Davi Emmanuel de Lima Rodrigues: Brazilian Scientific Productivity from a Gender Perspective During the COVID-19 Pandemic: Classification and Analysis Using Machine Learning. 2023. Undergraduate in Science and Technology - Federal Rural University of Semi-arid. (Supervisor: Rosana Cibely Batista Rego).
  • Paulina Julia Costa de Oliveira: Cycle Prediction with Machine Learning Techniques. 2023. Undergraduate in Information Technology - Federal Rural University of Semi-arid. (Supervisor: Rosana Cibely Batista Rego).

Scientific Initiation

  • Heitor Claudino Dantas: Study and Application of Machine Learning Algorithms for Crack Detection. 2023. Scientific Initiation - Federal Rural University of Semi-arid. (Supervisor: Rosana Cibely Batista Rego).
  • Nestor França de Andrade Junior: Improving Communication: Study and Application of Artificial Intelligence Techniques for Brazilian Sign Language (LIBRAS) Recognition. 2023. Undergraduate in Computer Engineering - Federal Rural University of Semi-arid. (Supervisor: Rosana Cibely Batista Rego).
  • Caio Moises Vieira Cavalcante: Application of Machine Learning Algorithms for Diagnostic Support and Decision-Making in Thyroid Disorders. 2023. Undergraduate in Information Technology - Federal Rural University of Semi-arid. (Supervisor: Rosana Cibely Batista Rego).
  • Leticia Maria Goncalves de Morais: Study and Application of Machine Learning Algorithms for Crack Detection. 2023. Undergraduate in Information Technology - Federal Rural University of Semi-arid. (Supervisor: Rosana Cibely Batista Rego).
  • Vinicius Anacleto de Almeida: Study and Application of Machine Learning Algorithms for Thyroid Disorder Analysis and Disease Risk Prediction. 2022. Scientific Initiation - Federal Rural University of Semi-arid. (Supervisor: Rosana Cibely Batista Rego).
  • Paulina Julia Costa de Oliveira: Study and Application of Artificial Intelligence Techniques for Women's Well-being: Ovulation and Irregular Period Prediction. 2022. Scientific Initiation - Federal Rural University of Semi-arid. (Supervisor: Rosana Cibely Batista Rego).
  • Francisca Lorrayne de Lima Santos: Study and Application of Artificial Intelligence Techniques for Women's Well-being: Ovulation and Irregular Period Prediction. 2022. Scientific Initiation - Federal Rural University of Semi-arid. (Supervisor: Rosana Cibely Batista Rego).
My Work

Software

Software

HypoAssist

REGO, R. C. B.; CAVALCANTE, C. M. V.; DANTAS, H. C.; BEZERRA, P. H. A.; SANTOS. HypoAssist: Assistente de Diagnóstico para Hipotireoidismo, 2024.
Patent: BR5120240038752.

Period Cycle Prediction

REGO, R. C. B.. PERIOD CYCLE PREDICTION, 2024.
Patent: BR512024001943-0.

Match the Circle Game

REGO, R. C. B.. MATCH THE CIRCLE GAME, 2024.
Patent: BR512024002653-3.

Crackit

DANTAS, H. C.; MORAIS, L. M. G.; REGO, R. C. B.. Crackit: Crack analysis and diagnosis on buildings elements, 2024.
Patent: BR5120240030-8.

The Balance Game

REGO, R. C. B.. THE BALANCE GAME, 2024.
Patent: BR512024003876-0.

WEIGHT TO GO!

REGO, R. C. B.. WEIGHT TO GO GAME, 2024.
Patent: BR512024004292 0.

Ovulometer: prediction of ovulation day

REGO, R. C. B.. Ovulometer: prediction of ovulation day, 2024.
Patent: BR512024004292 0.
My Work

Publications

  • Cavalcante, C. A.; Almeida, V.; Barros, M.; Lima, N.; Rego, R. (2024). Thyroid Syndrome Detection using Machine Learning Algorithms: A Comparative Analysis. In: Congresso Brasileiro de Inteligência Computacional, Anais do XVI Congresso Brasileiro de Inteligência Computacional, p. 1. [code]
  • Bezerra, P. H. A.; Dantas, H. C.; Morais, L. M. G.; Rego, R. C. B. (2024). A Deep Learning Artificial Intelligence Algorithm to Detect Cracks on Civil Engineering Building Elements. In: XX International Conference on Building Pathology and Constructions Repair, Fortaleza, p. 527-537. Springer, 2024. [code]
  • Cavalcante, C. M. V.; Rego, R. C. B. (2024). Early prediction of hypothyroidism based on feature selection and explainable artificial intelligence. In: Simpósio Brasileiro de Computação Aplicada à Saúde (SBCAS), Goiânia, Anais do XXIV Simpósio Brasileiro de Computação Aplicada à Saúde, p. 49-60. [code]
  • Andrade Junior, N. F.; Pinto, A. A. B. F.; Almeida, W. M.; Rego, R. C. B. (2024). Brazilian Sign Language Translation: AI for the inclusion of deaf people. In: V Congresso Brasileiro Interdisciplinar em Ciência e Tecnologia, Anais do V Congresso Brasileiro Interdisciplinar em Ciência e Tecnologia, 2024. [code]
  • Dantas, H. C.; Morais, L. M. G.; Bezerra, P. H. A.; Rego, R. C. B. (2024). Concrete Crack Detection Using Embedded Machine Learning. In: 2024 8th International Symposium on Instrumentation Systems, Circuits and Transducers (INSCIT), João Pessoa, p. 1-6. [code]
  • Oliveira, P. J.; Cavalcante, C.; Rego, R. (2023). Time Series Forecasting Approach for Predictive Modeling of Next Menstrual Cycle Length. In: Congresso Brasileiro de Inteligência Computacional, Anais do XVI Congresso Brasileiro de Inteligência Computacional, p. 1. [code]
  • Rego, R. C. B.; Dantas, H. C.; Morais, L. M. G.; Bezerra, P. H. A. (2024). Civil infrastructure crack detection using deep learning and image segmentation-based techniques. In: XXV Congresso Brasileiro de Automática, Rio de Janeiro, p. 1-6. [code]
  • Rego, R. C. B.; Almeida, V. A.; Cavalcante, C. M. V.; Lima, N. C. A. (2023). Diagnostic Support System for Euthyroid Sick Syndrome based on Machine Learning Algorithms Approaches. In: International Conference on Intelligent Systems and New Applications, Liverpool, ICISNA 23 Proceedings Book, v. 1, p. 259-264. [code]
  • Rego, R. C., & de Araújo, F. M. U. (2022). Lyapunov-based continuous-time nonlinear control using deep neural network applied to underactuated systems. Engineering Applications of Artificial Intelligence, 107, 104519. [code]
  • Rego, R. C. B., da Silva Nascimento, G., de Lima Rodrigues, D. E., Nascimento, S. M., & Silva, V. M. L. (2022). Brazilian scientific productivity from a gender perspective during the Covid-19 pandemic: classification and analysis via machine learning. IEEE Latin America Transactions, 100. [code]
  • Rego, R., & Costa, M. (2022). Offline output feedback robust anti-windup MPC-LPV using relaxed LMI optimization. European Journal of Control, 100719. [code]
  • Rego, R. C., & Silva, V. M. (2021). Predicting gender of Brazilian names using deep learning. arXiv preprint arXiv:2106.10156. [code]
  • Rego, R. C., & de Araújo, F. M. (2021). Learning‐based robust neuro‐control: A method to compute control Lyapunov functions. International Journal of Robust and Nonlinear Control. [code]
  • Rego, R. C. B., & de Araújo, F. M. U. (2021). Nonlinear Control System with Reinforcement Learning and Neural Networks Based Lyapunov Functions. IEEE Latin America Transactions, 19(8), 1253-1260. [code]
  • Rego, R., & Costa, M. (2020). Robust control with an anti-windup technique based in relaxed LMI conditions for LTV system. International Journal of Modelling, Identification and Control, 35(4), 298-304. [code]
  • Rego, R., & Costa, M. (2020). Output feedback robust control with anti-windup applied to the 3ssc boost converter. IEEE Latin America Transactions, 18(05), 874-880. [code]
  • Rego, R. C., & Semente, R. S. (2019, October). Presence Sensors: A Comparison Between the Ultrasonic and the Infrared in the Detection of People and Vehicles. Brazilian Technology Symposium (pp. 563-571). Springer, Cham. [code]
  • Rego, R. C. B., & Semente, R. S. (2018). Presence sensor for people detection and reduction of pedestrian waiting time in traffic light. BTSym 2018 Proceedings, 1. [code]
  • Rego, R. C., & Costa, F. E. M. (2015). Inversão sísmica em meios geológicos complexos. [code]
My Work

Lectures

Lectures

Algorithms and Data Structure

Fundamental concepts of algorithms and data structures, including arrays, linked lists, trees, and graphs.

Algorithm Design and Analysis

Designing efficient algorithms and analyzing time and space complexity with real-world applications.

Artificial Neural Networks

Exploration of neural network architectures, backpropagation, and applications in machine learning.
Get in Touch

Contact

rosana.rego@ufersa.edu.br

@roscibely