Reinaldo Castro Souza graduated in Electrical engineering from UFJF in 1971, received a Master’s degree in Systems engineering from PUC-Rio in 1975, a PhD in Statistics from Warwick University, Coventry, England, in 1979, and a postdoctoral degree in Statistical and econometric models from the London School of Economics, England, in 1986. He is currently a full professor at PUC-Rio. He specializes in time series analysis and forecasting (the subject of his doctoral thesis) and has developed statistical and time series models in several areas, such as market research, electoral forecasting, applications in the energy sector, and econometric models. He is also interested in the area of energy efficiency and rational use of energy, with research work for several electricity distributors, PROCEL/Eletrobrás, CEPEL, ONS, ANEEL, and ANP. He has been a full member of SOBRAPO since 1980 and a member of the SBPOs Program Committees (Brazilian Symposium on Operational Research 2016 and 2017).
Fernando Cyrino is a Professor and Head of the Department of Industrial Engineering at the Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Brazil. He holds a PhD in Electrical engineering (Operations research and Time series) from PUC-Rio in 2013. Prof. Cyrino also serves as Vice-President of the Brazilian Operational Research Society (SOBRAPO) and President of The Brazilian Association of Postgraduate Studies and Research in Production Engineering. He is an Associate Editor for the Production and Forecasting Journals. His research contributions cover the development of forecasting and statistical methods with general applications, but mainly in energy. His publications include articles in Energy Economics, The European Journal of Operational Research, The International Journal of Forecasting, Production and Operations Management, Business Strategy and the Environment, and Renewable and Sustainable Energy Reviews, among others. He has accumulated industrial experience from working on various projects in forecasting and operations research, with funding from industry and governmental agencies.
