I joined Aston’s School of Engineering and Applied Science as a Lecturer in Data Mining in February 2019. Prior to that I spent 8 years as an Assistant (and then Associate) Professor in Optimisation and Computational Intelligence for the Department of Electrical Engineering at Universidade Federal de Minas Gerais (UFMG) in Belo Horizonte, Brazil, where I served as Deputy Head of Department between 2013 and 2017.
During my time at UFMG I had the opportunity to participate in a number of university-industry partnerships, particularly related to the development of Smart Grid applications for the largest power distribution utility in South America, CEMIG-D; as well as for the power systems conglomerate Eletrobras. These applications leveraged the power of data science, computational intelligence, and optimisation to improve efficiency in the response to fault scenarios, as well as in the strategic asset management of electric power equipment.
I have previously taught a variety of modules, including basic Electrical Engineering (DC and AC Circuit Analysis, Measurement Systems, etc.), Linear and Nonlinear Optimisation, Systems Reliability, and Statistical Design and Analysis of Experiments.
My current research focuses on the development of integrated solution frameworks for data analytics, seamlessly connecting data mining, statistical modelling, optimisation and multi-criteria decision making. I also focus on the development of methodologically and statistically sound protocols for the experimental comparison of algorithms; and on the development of algorithms for robust optimisation, multi/many-objective optimisation, and heavily constrained optimisation.
Some of my research, particularly the development of integrated solution frameworks, has a strong focus on applications. Past examples include partnerships with the power distribution sector to develop solutions related to the Smart Grid, such as:
Some selected recent publications include:
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