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 descending Deadline (months) Participation in the project
Domain and Time Knowledge Generalization of Deep Neural Networks: Real World Applications 01/03/2021 36 Coordinator *
Computational intelligence Applied to Industry 01/09/2021 60 Researcher *
01/12/2022 12 Coordinator *

Pages

Productions:

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

Participants in examination boards:

Title Name Defense datesort descending Course
NOVEL TECHNIQUES FOR MAPPING AND LOCALIZATION OF SELF DRIVING CARS USING GRID MAPS Filipe Wall Mutz 02/09/2019 **Doctoral Degree in Computer Science**
José Guilherme Mota Esgário 27/09/2019 **MSc in Computer Science**
Traffic Light Recognition Using Deep Learning and Prior Maps for Autonomous Cars Lucas Caetano Possatti 21/10/2019 **MSc in Computer Science**
Relevant Traffic Light Recognition with Deep Learning Approaches Rafael Horimoto de Freitas 22/10/2019 **MSc in Computer Science**
Lucas Luppi Amorim 12/03/2020 **MSc in Computer Science**

Pages

Disciplines taught:

Academic termsort descending Code Name Hours Course
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-6010 Directed Study: 2021-3 Estudo de redes neurais profundas aplicadas a dados temporais 90 **MSc in Computer Science**
2021/2 PINF-7010 Directed Study: 2021-3 Estudo de redes neurais profundas aplicadas a dados temporais 90 **Doctoral Degree in Computer Science**
2022/1 PINF-6010 Directed Study: Estudo de redes neurais profundas aplicadas a dados temporais II 90 **MSc in Computer Science**
2022/2 PINF-6100 Computer Graphics 60 **MSc in Computer Science**

Pages

Guided Students:

Name Title Defense date Rolesort descending Type
Rodrigo Ferreira Berriel On the Efforts in Training Deep Networks: Reducing Data-related and Computational Costs 28/09/2021 Advisor * PhD thesis
Thiago Meireles Paixão 10/05/2022 Advisor * PhD thesis
Vinicius Ferraço Arruda 24/02/2022 Advisor * MSc dissertation
Avelino Forechi Silva Appearance-based Global Localisation with a Hybrid Weightless-Weighted Neural Network Approach 02/02/2018 Co-advisor * PhD thesis
Filipe Wall Mutz 21/05/2014 Co-advisor * MSc dissertation

Pages

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