CV

Education

• B.S. in Electrical Engineering, Federal University of Amazonas, 2008
• M.S. in Electrical Engineering, Federal University of Amazonas, 2014
• Ph.D in Electrical Engineering, Federal University of Santa Catarina, 2022

Work experience

• 2010 - : Assistant Professor
  • Federal University of Amazonas
  • Faculty of Engineering

Skills

• Mathematical Optimization
  • Decomposition Methods
  • Mixed-integer Linear Programming
  • (Stochastic) Dual Dynamic (integer) Programming
• Power Systems
  • Power System Planning
  • Unit Commitment
  • Power Flow
• Artificial Intelligence
  • Machine Learning
  • Deep Learning
  • Reinforcement Learning
  • Applications of Large Language Models in Industry

Publications

A semi-supervised convolutional neural network based on subspace representation for image classification

Gatto, B.B., Souza, L.S., dos Santos, E.M. et al. A semi-supervised convolutional neural network based on subspace representation for image classification. J Image Video Proc. 2020, 22 (2020). https://doi.org/10.1186/s13640-020-00507-5

Fukunaga-Koontz Convolutional Network with Applications on Character Classification

Gatto, B.B., dos Santos, E.M., Fukui, K. et al. Fukunaga–Koontz Convolutional Network with Applications on Character Classification. Neural Process Lett 52, 443–465 (2020). https://doi.org/10.1007/s11063-020-10244-5.

Piecewise linear approximations for hydropower production function applied on the hydrothermal unit commitment problem

Santos, K.V, and Finardi, E. C. Piecewise linear approximations for hydropower production function applied on the hydrothermal unit commitment problem. International Journal of Electrical Power and Energy Systems, vol. 135, 2022, 107464. https://doi.org/10.1016/j.ijepes.2021.107464

Accelerated dual dynamic integer programming applied to short-term power generation scheduling

Santos, K.V, and Colonetti, B., and Finardi, E. C., and Zavala, V. M. Accelerated dual dynamic integer programming applied to short-term power generation scheduling. International Journal of Electrical Power and Energy Systems, vol. 145, 2023, 108689. https://doi.org/10.1016/j.ijepes.2022.108689

#Talks #======

<ul>

#

#
#

#
#

#
#

</ul>

Teaching

Undergraduate

Graduate Courses

Service and leadership

• Currently is head of Oil and Gas Department