Miguel Moreto
Associate Professor
Santa Catarina, Brazil
Summary
👤
Senior🎓
Top SchoolMiguel Moreto is an associate professor of electrical engineering at the Federal University of Santa Catarina with 13 years of academic and teaching experience focused on power systems, protection, and fault analysis. He holds a PhD in Power Systems and a MEng with work on distribution systems, fault location, and neural networks, blending classical power engineering with intelligent systems. His research and teaching center on practical protection schemes and computational tools for fault diagnosis, and he brings hands-on programming skills to model and simulate complex grid behaviors. Having progressed from PhD student to faculty and previously taught at UTFPR, he couples deep domain expertise with a track record of mentoring engineers. Based in Santa Catarina, Brazil, he is known for translating advanced research into classroom-ready software and algorithms that address real-world grid protection challenges.
13 years of coding experience
Doctor, Power systems, power generation, intelligent systems, protection systems., Doctor, Power systems, power generation, intelligent systems, protection systems. at Universidade Federal de Santa CatarinaMaster of Engineering (MEng), Powr systems, distribution systems, fault location, neural networks, Master of Engineering (MEng), Powr systems, distribution systems, fault location, neural networks at Universidade Federal do Rio Grande do Sul
Stackoverflow
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Github Skills (26)
perf10
theory8
simulation8
python7
control-systems7
cpp6
i2c6
bluepill6
attiny6
samd216
graphic6
stm32f46
lcd5
lpc4
avr3
Programming languages (2)
Github contributions (5)
miguelmoreto/pycomtrade
Mar 2015 - Mar 2022
pyComtrade is a python module that provides you a transparent way for reading and writing oscillographic files in Comtrade format
Contributions:8 commits, 4 PRs, 7 pushes in 7 years
perfpythontransparentpython27python-module
miguelmoreto/labcontrole
Mar 2015 - Oct 2020
The LabControle is a simulation software for linear control systems. It is designed to be used as an auxiliary tool for teaching classical control system theory.
Contributions:14 releases, 61 commits, 8 PRs in 5 years 7 months
cppauxiliaryteachingsimulationlinear
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