THIAGO OLIVEIRA DOS SANTOS

Title: Doctor
Research groups: CNPq (Google Translator version)
Curriculum: https://lattes.cnpq.br/5117339495064254
Orcid: https://orcid.org/000000017607635X

Participation in projects:

Title	Starting date	Deadline (months)	Participation in the project
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 *
Teaching Convolutional Networks to Learn from Templates: Applied to Autonomous Driving	01/03/2018	36	Coordinator *

Pages

Participants in examination boards:

Title	Name	Defense date	Course
Quantized Multi-Height Ocuppancy Grid Map Applied to Airplanes	RENAN SARCINELLI	25/02/2021	**MSc in Computer Science**
	LUCAS LUPPI AMORIM	12/03/2020	**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**
	JOSÉ GUILHERME MOTA ESGÁRIO	27/09/2019	**MSc in Computer Science**

Pages

Disciplines taught:

Academic term	Code	Name	Hours	Course
2025/2	PINF7010	Directed Study	90	PhD program in computer science
2025/2	PINF6010	Directed Study	90	Master's degree in computer science
2025/2	PINF6100	Computer Graphics	60	Master's degree in computer science
2025/2	PINF7100	Computer Graphics	60	PhD program in computer science
2025/1	PINF6061	Artificial Neural Networks	60	Master's degree in computer science

Pages

Guided Students:

Name	Title	Defense date	Role	Type
LETICIA CARVALHEIRO NAVARRO		07/03/2023	Advisor *	MSc dissertation
THIAGO MEIRELES PAIXÃO		10/05/2022	Advisor *	PhD thesis
VINICIUS FERRAÇO ARRUDA		24/02/2022	Advisor *	MSc dissertation
LEONARDO SANTOS PAULUCIO		14/02/2022	Advisor *	MSc dissertation
RODRIGO FERREIRA BERRIEL	On the Efforts in Training Deep Networks: Reducing Data-related and Computational Costs	28/09/2021	Advisor *	PhD thesis

Pages