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.”

Biography

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

2021	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
2021	Visiting Professor at the University of Denver, Denver Colorado (USA), for Winter and Spring
2000–2020	Emeritus Professor Electrical Engineering Department, Colorado School of Mines
2016	Visiting Scholar The Petroleum Institute, Abu Dhabi, U.A.E.
2014–2015	US Fulbright Scholar Aalborg University, Institute of Energy Technology, Denmark
2007–2012	Visiting Professor UTBM – Université de Technologie Belfort-Montbéliard (France)
2011–2013	Visiting Professor L'École Normale Supérieure de Cachan (France)
1999	Associate Visiting-Professor Georgia Institute of Technology
1989–2000	Assistant and Associate Professor Department of Mechatronics, University of Sao Paulo (USP), Brazil
1993–1995	Research-Assistant University of Tennessee, Power Electronics Laboratory (Brazil CNPq Scholarship)
1986–1987	Liceu de Artes e Ofícios – Brazil Technical College Instructor
1986–1989	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”.

Link: https://msimoes.press/