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.