Thiago Oliveira dos Santos

Title: PhD (UNIBE, Suíça, 2011)
Personal page: http://www.inf.ufes.br/~todsantos/
Research groups: CNPq (Google Translator version)
Curriculum: Lattes

Course starting: 17/05/2004

Participation in projects:

Title Starting datesort ascending Deadline (months) Participation in the project
01/12/2022 12 Coordinator *
Computational intelligence Applied to Industry 01/09/2021 60 Researcher *
Domain and Time Knowledge Generalization of Deep Neural Networks: Real World Applications 01/03/2021 36 Coordinator *
Automated Fault Detection based on Vibration Signal on Time Domain 01/06/2020 30 Researcher *
Medical Image Analysis Using Deep Learning 10/04/2019 48 Researcher *

Pages

Productions:

Titlesort ascending Details Defense date
Mestrado Acadêmico dissertação 15/09/2006

Participants in examination boards:

Title Name Defense date Coursesort ascending
Mariella Berger Andrade 09/04/2015 **Doctoral Degree in Computer Science**
On the Efforts in Training Deep Networks: Reducing Data-related and Computational Costs Rodrigo Ferreira Berriel 28/09/2021 **Doctoral Degree in Computer Science**
NOVEL TECHNIQUES FOR MAPPING AND LOCALIZATION OF SELF DRIVING CARS USING GRID MAPS Filipe Wall Mutz 02/09/2019 **Doctoral Degree in Computer Science**
Lucas de Paula Veronese 10/12/2015 **Doctoral Degree in Computer Science**
Jacson Rodrigues Correia da Silva 25/04/2023 **Doctoral Degree in Computer Science**

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Disciplines taught:

Academic term Code Name Hours Coursesort ascending
2018/2 PINF-7073 Special Topics in Computer Science: Computação Gráfica 60 **Doctoral Degree in Computer Science**
2018/1 PINF-7062 90 **Doctoral Degree in Computer Science**
2018/2 PINF-7073 Special Topics in Computer Science: Computação Gráfica 60 **Doctoral Degree in Computer Science**
2019/2 PINF-7010 Directed Study: Estudos de parâmetros internos de Redes Neurais Profundas para transferência de conhecimento 90 **Doctoral Degree in Computer Science**
2017/1 PINF-7062 90 **Doctoral Degree in Computer Science**

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Guided Students:

Name Title Defense datesort ascending Role Type
Rodrigo Ferreira Berriel On the Efforts in Training Deep Networks: Reducing Data-related and Computational Costs 28/09/2021 Advisor * PhD thesis
Jean Pablo Vieira de Mello 27/07/2021 Advisor * MSc dissertation
Renan Sarcinelli Quantized Multi-Height Ocuppancy Grid Map Applied to
Airplanes
25/02/2021 Advisor * MSc dissertation
Lucas Luppi Amorim 12/03/2020 Advisor * MSc dissertation
Rafael Horimoto de Freitas Relevant Traffic Light Recognition with Deep Learning Approaches 22/10/2019 Advisor * MSc dissertation

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