• PhD in Electrical Engineering, Universidade Federal de Minas Gerais, 2006. 
• MSc in Pure Mathematics (with distinction), Universidade Federal de Minas Gerais, 2002. 
• Specialization in Matematics, Universidade Federal de Minas Gerais, 2000.
• Specialization in Mathematics (Teaching Degree), Pontificia Universidade Catolica de Minas Gerais, 1999.
• BSc in Mathematics, Universidade Federal de Minas Gerais, 1997. 

I re-joined Aston in 2023, and am a Reader in Computer Science. My research is concerned with population-based multiobjective optimization and metaheuristics, multi-criteria decision analysis, and mathematical and statistical aspects of optimization theory. 

Previously, I was a Professor at the CEFET-MG (CERCIA) in the Department of Computer Engineering, Belo Horizonte, Brazil. I obtained my Ph.D. at the Universidade Federal de Minas Gerais, on the topic of Local Search operators for Genetic Algorithms based on derivative-free quadratic approximation.  I also hold an MSc in Mathematics from the Universidade Federal de Minas Gerais, and before that, I read for a BSc in Mathematics at the Universidade Federal de Minas Gerais.

• 2023- date: Reader in Computer Science, Aston University.
• 2020 - 2022: Professor at CEFET-MG, Belo Horizonte, Brazil.
• 2017 – 2019: Lecturer in Computer Science, Aston University.
• 2010 – 2016: Associate Professor at CEFET-MG, Belo Horizonte, Brazil
• 2006 - 2010: Assistant Professor at the Universidade Federal de Ouro Preto, Ouro Preto, Brazil
• 2008 - 2009: Visiting Research at the University of Algarve, in the Science and Technology Faculty, Faro, Portugal

My teaching includes programming, computational intelligence and mathematics. 

I am interested in multiobjective optimization, evolutionary algorithms, experimental assessment of algorithms, dynamical systems, and engineering design optimization.

My work is concerned with both abstract problems as well as applied ones. I have a number of ongoing collaborations with engineers and international universities and have worked on hybrid micro grid systems for generation and distribution of renewable energy sources.