A palestra será em português.
Resumo: The main goal of this talk is to highlight and discuss the rationale and pillars for a robust applied R&D framework, in the context of either academia or industry, given the challenges in fast-pace scientific fields such as Computer Science and Engineering.
CV Resumido do Palestrante: Stenio Fernandes has multiple years of leadership experience in the industry and academia. He’s led several advanced R&D projects and teams of researchers and developers. He is currently the Assistant Director for Data Science Innovation with the Central Bank of Canada. According to Google Scholar, he published more than 140 research papers and patents in reputable peer-reviewed conferences and journals. He has over 2100 citations, an h-index of 20, and an i10-index of 41. He holds a Ph.D. in Computer Science from the Federal University of Pernambuco (Recife) in collaboration with the University of Ottawa, Canada, where he later conducted his post-doctoral studies. He has recently graduated from the Leadership and Innovation program at MIT. He is a Senior Member of the IEEE, a certified Project Management Professional, and a member of the Standards Council of Canada’s ISO/IEC mirror committee on Artificial Intelligence.
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