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:

Titlesort descending Starting date Deadline (months) Participation in the project
Automated Fault Detection based on Vibration Signal on Time Domain 01/06/2020 30 Researcher *
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 *
Medical Image Analysis Using Deep Learning 10/04/2019 48 Researcher *
Teaching Convolutional Networks to Learn from Templates: Applied to Autonomous Driving 01/03/2018 36 Coordinator *

Pages

Productions:

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

Participants in examination boards:

Titlesort descending Name Defense date 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**
On the Efforts in Training Deep Networks: Reducing Data-related and Computational Costs Rodrigo Ferreira Berriel 28/09/2021 **Doctoral Degree in Computer Science**
Quantized Multi-Height Ocuppancy Grid Map Applied to
Airplanes
Renan Sarcinelli 25/02/2021 **MSc in Computer Science**
Relevant Traffic Light Recognition with Deep Learning Approaches Rafael Horimoto de Freitas 22/10/2019 **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**

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Disciplines taught:

Academic termsort descending Code Name Hours Course
2017/2 PINF-6073 60 **MSc in Computer Science**
2017/2 PINF-7073 Special Topics in Computer Science: Computação Gráfica 60 **Doctoral Degree in Computer Science**
2017/2 PINF-6063 90 **MSc in Computer Science**
2017/2 PINF-6073 60 **MSc in Computer Science**
2018/1 PINF-7070 90 **Doctoral Degree in Computer Science**

Pages

Guided Students:

Name Titlesort descending Defense date Role Type
Avelino Forechi Silva Appearance-based Global Localisation with a Hybrid Weightless-Weighted Neural Network Approach 02/02/2018 Co-advisor * PhD thesis
Rodrigo Ferreira Berriel On the Efforts in Training Deep Networks: Reducing Data-related and Computational Costs 28/09/2021 Advisor * PhD thesis
Renan Sarcinelli Quantized Multi-Height Ocuppancy Grid Map Applied to
Airplanes
25/02/2021 Advisor * MSc dissertation
Rafael Horimoto de Freitas Relevant Traffic Light Recognition with Deep Learning Approaches 22/10/2019 Advisor * MSc dissertation
Lucas Caetano Possatti Traffic Light Recognition Using Deep Learning and Prior Maps for Autonomous Cars 21/10/2019 Advisor * MSc dissertation

Pages

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