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
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 *
10/04/2018 33 Researcher *

Pages

Productions:

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

Participants in examination boards:

Title Name Defense datesort ascending Course
On the Efforts in Training Deep Networks: Reducing Data-related and Computational Costs Rodrigo Ferreira Berriel 28/09/2021 **Doctoral Degree in Computer Science**
Jean Pablo Vieira de Mello 27/07/2021 **MSc in Computer Science**
James Alves da Silva Junior 24/05/2021 **MSc in Computer Science**
Igor de Moura Ventorim 12/04/2021 **MSc in Computer Science**
Quantized Multi-Height Ocuppancy Grid Map Applied to
Airplanes
Renan Sarcinelli 25/02/2021 **MSc in Computer Science**

Pages

Disciplines taught:

Academic termsort ascending Code Name Hours Course
2021/2 PINF-7073 Special Topics in Computer Science: Computação Gráfica: Semestre 2021/3 60 **Doctoral Degree in Computer Science**
2021/2 PINF-6010 Directed Study: 2021-3 Estudo de redes neurais profundas aplicadas a dados temporais 90 **MSc in Computer Science**
2021/2 PINF-6073 60 **MSc in Computer Science**
2021/2 PINF-6010 Directed Study: 2021-3 Estudo de redes neurais profundas aplicadas a dados temporais 90 **MSc in Computer Science**
2021/1 PINF-6073 60 **MSc in Computer Science**

Pages

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

Pages

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