Marcelo Godoy Simões, Professor

”My work is evolving the development of analysis and modelling schemes, real-time based simulation frameworks, tackling artificial intelligence or modern distributed control for complex problems, and multidisciplinary understanding of renewable energy systems and conversion to the end-user and integration with the utility grid. I vision to further cutting-edge R&D and educational efforts Fuzzy Logic, Neural Networks and Deep Learning for Power Electronics and Power Systems.”
Marcelo Godoy Simões, Professor


  • D.Sc. Mechanical Engineering, University of São Paulo,  Brazil 1998
  • Ph.D. Electrical Engineering, University of Tennessee, USA 1995
  • M.Sc. Electrical Engineering, University of São Paulo, Brazil 1990
  • B. Sc. Electrical Engineering, University of São Paulo, Brazil 1985

Previous Experience


Professor in Electrical Power Engineering, in Smart and Flexible Power Systems, at the University of Vaasa, School of Technology and Innovations, with the EE Department


Visiting Professor at the University of Denver, Denver Colorado (USA), for Winter and Spring


Emeritus Professor
Electrical Engineering Department,
Colorado School of Mines


Visiting Scholar
The Petroleum Institute, Abu Dhabi, U.A.E.


US Fulbright Scholar
Aalborg University, Institute of Energy Technology, Denmark


Visiting Professor
UTBM – Université de Technologie
Belfort-Montbéliard (France)


Visiting Professor
L'École Normale Supérieure de Cachan (France)


Associate Visiting-Professor
Georgia Institute of Technology


Assistant and Associate Professor
Department of Mechatronics,
University of Sao Paulo (USP), Brazil


University of Tennessee, Power Electronics Laboratory (Brazil CNPq Scholarship)


Liceu de Artes e Ofícios – Brazil
Technical College Instructor


FDTE - Fundação para o Desenvolvimento Tecnológico da Engenharia
Applications Engineer (electronics designer)

Teaching Interests

I have taught classes in power electronics, renewable energy systems, adjustable speed drives, power quality, artificial intelligence, electric circuits, electronics, industrial automation, PLC, and variable frequency drives.  I developed, taught and enhanced several undergraduate and graduate courses for a meaningful education in power electronics, renewable energy, speed vector-controlled drives, artificial intelligence, and power quality for renewable energy integration.  I redesigned courses towards -problem and -project based oriented, spearheaded the implementation of a Graduate Program in Smart-Grid. Currently I am interested in developing Artificial Intelligence for advancing Smarter Power Systems with contemporary fuzzy logic, neural networks, and deep learning techniques.

Research Expertise

I developed one of the earliest automation-control based-model of fuel cells, and developed techniques of paralleling self-excited induction generators. I worked with cyber-physical systems for energy management and control, and currently I am interested in applying instantaneous electrical power for integrating smart-grid based inverters in renewable energy based applications. My areas of research overlap energy systems, power electronics and power systems, with extension to power quality, renewable energy, artificial intelligence. I am a Fellow of the Institute of Electrical and Electronics Engineers (FIEEE), with the citation “for application of artificial intelligence in control of power electronics systems”.