Rodrigo Clemente Thom De Souza

  • UFPRAdjunct Professor

He holds a Bachelor’s degree in Computer Science at UEM-Maringá State University, Brazil (2000), MBA in Information Technology Applied to Strategic Management at FGV-Getúlio Vargas Foundation, Brazil (2003), MBA in Marketing in Technology Environment at ESPM-Superior School of Advertising and Marketing, Brazil (2003), Extension in Industrial Engineering at PUC Rio-Pontifical Catholic University of Rio de Janeiro, Brazil (2004), Master’s degree (MSc.) in Production and Systems Engineering at PUC PR-Pontifical Catholic University of Paraná, Brazil (2008), Doctorate’s degree (PhD.) in Numerical Methods in Engineering at UFPR-Paraná Federal University, Brazil (2013) with PhD Sandwich at the University of Manchester, UK (2012). He has experience as consultant, data scientist, system analyst and IT project manager in the public and private sector, having served as Director of Research in private Higher Education Institution (HEI) and representative of the UFPR Research Committee. As researcher, he has experience in the areas of Computational Intelligence, Data Mining, Meta-heuristics and Deep Learning, with applications in various sectors such as financial, chemical, electrical, textile, educational, agricultural, environmental, engineering, astronomy and civil construction. Much of this interdisciplinary research has taken place in collaboration with stricto sensu graduate programs from renowned institutions such as UEM, UEL, UFPR, PUCPR, LACTEC, USP, FIOCRUZ, as well as having international experience at the Manchester Institute of Biotechnology (UK) and in projects in partnership with the University of Minho (Portugal). Currently is Adjunct Professor at UFPR, leader of the CNC – Research Group in Natural and Scientific Computation (UFPR) and sectoral member of International Relations at UFPR.