Doctor of Philosophy (PhD) in Computer Science (Deep Learning) [GPA 10.00/10.00], Center of Informatics, Federal University of Pernambuco (UFPE), Brazil. First Place in the Admission Process. “Towards Robust Deep Learning using Entropic Losses”.
https://arxiv.org/abs/2208.03566
Visiting Researcher with Montreal Institute for Learning Algorithms (MILA), University of Montreal (UdeM), Quebec, Canada.
https://mila.quebec/en/person/david-macedo
Authored one book and around fifty articles on Deep Learning published in Top Conferences and Journals. More than a half thousand citations.
https://scholar.google.com/citations?user=hypWII4AAAAJ&hl=en
Top Main Conferences (NeurIPS, ICLR, ICML) and IEEE Reviewer.
https://neurips.cc/Conferences/2022/ProgramCommittee
https://iclr.cc/Conferences/2022/Reviewers
https://icml.cc/Conferences/2022/Reviewers
Co-creator and Collaborator Professor of the Deep Learning course of the Computer Science Master and Doctorate Programs at the Center for Informatics (CIn), Federal University of Pernambuco (UFPE), Brazil.
https://dlmacedo.com/courses/deeplearning/
Participation in more than a hundred Research and Extension Projects. Google Research Award: “Robust Deep Learning”. UFPE, Brazil. Microsoft Research Award: “Deep Learning for Speaker Recognition”. UFPE, Brazil. Co-orientation of Masters Dissertations.
https://deeplearning.cin.ufpe.br/
https://deeplearning.cin.ufpe.br/research/
Master of Science (MSc) in Computer Science (Deep Learning) [GPA 10.00/10.00], Center of Informatics, Federal University of Pernambuco (UFPE), Brazil. First Place in the Admission Process.
Bachelor of Science (BSc) in Electronic Engineering with Highest Academic Distinction (Best Overall Student) [GPA 9,54/10,00] from UFPE, Brazil. First Place in the Admission Process.
PhD Computer Science (Deep Learning) [GPA 10.0/10.00], 2022
Universidade Federal de Pernambuco (First Place in the Admission Process)
MSc Computer Science (Deep Learning) [GPA 10.0/10.00], 2018
Universidade Federal de Pernambuco (First Place in the Admission Process)
BSc Eletronic Engineering [GPA 9.56/10.00] with Highest Academic Distinction (Best Overall Student), 1996
Universidade Federal de Pernambuco (First Place in the Admission Process)