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About me:
Hi! I'm João and I am a deep learning engineer. For the past five years, I have been working on several topics related to biometrics, ML, and CV, contributing to fundamental topics and creating solutions to real-life problems. I am very passionate about innovation, mentoring students, and bridging the gap from research to reality. Beyond work, I love design, history, geography, heraldry, languages, and everything related to world cultures.
jtpinto@fe.up.pt
in/jtrpinto
0000-0003-4956-5902
user=hhF9Q8kAAAAJ
profile/Joao_Ribeiro_Pinto
TECH KNOWLEDGE MOST USED:
Python MATLAB PyTorch Keras OpenCV Scikit-Learn Scikit-Image HTML CSS PHP SQL Javascript LaTeX Illustrator
BASIC KNOWLEDGE: C/C++ Java Android LabVIEW
BRIEFLY USED: R jQuery ReactJS AngularJS Sass C# .NET
TOP SKILLS Work well in teams and individually;
Multidisciplinary background;
Creative, autonomous, and resilient;
Always searching for realistic results;
Good at supervising and mentoring;
Highly skilled on scientific writing.
LANGUAGES Portuguese (Native)
English (Fluent)
EDUCATION
2022 Ph.D. in Electrical and Computers Engineering University of Porto, Portugal
  • Research on biometrics, wellbeing monitoring, & other ML/CV topics;
  • Authored 38 scientific articles within my doctoral studies.
2017 M.Sc. in Bioengineering - Biomedical Engineering University of Porto, Portugal (grade 16/20)
  • Strong foundations on biomedical eng., programming, and computer vision;
  • Published two journal articles, on medical image analysis and biometrics;
  • Thesis: Continuous Biometric Identification on the Steering Wheel (grade 20/20).
EXPERIENCE
since 04/2022 Senior Deep Learning Engineer Bosch, Braga, Portugal
  • Developing innovative perception algorithms for autonomous vehicles.
  • Co-leading a subproject on security and privacy.
10/2017 - 04/2022 Research Assistant INESC TEC, Porto, Portugal
  • Research on ECG/face biometrics, biometric template security, presentation attack detection, weakly- and self-supervised learning, interpretability;
  • Closely supervised 13 M.Sc. theses and over 20 internship students.
08/2017 - 09/2018 Research Fellow Faculty of Engineering of the University of Porto, Porto, Portugal
  • Developed deep learning algorithms for ECG biometric identification;
  • Collected and curated OCR data for enhanced media content (CHIC Project).
PROJECTS
since 04/2022 THEIA Project
  • Development of perception algorithms for autonomous vehicles;
  • Collaboration with University of Porto.
12/2021 - 04/2022 Aurora Project
  • Advanced violence/activity monitoring for shared autonomous vehicles;
  • Collaboration with Bosch Car Multimedia (Braga, Portugal).
02/2020 - 12/2021 Easy Ride Project
  • Monitoring of activity, emotion and violence for shared autonomous vehicles;
  • Development from scratch to real in-vehicle algorithm deployment;
  • Collaboration with Bosch Car Multimedia (Braga, Portugal).
07/2019 - 11/2021 AUTOMOTIVE Project
  • Recognising driver drowsiness, identity, and emotion with ECG and face video;
  • Collaboration with CardioID Technologies (Lisbon, Portugal).
EVENTS
2019-2022 (4 editions) VISUM Summer School Organisation team member (2021, 2022); Project team member (2019, 2020)
2021-2022 (2 editions) xAI4Biometrics Workshop @ WACV Publicity and local organisation chair
2019-2021 (2 editions) CIBB International Conference Conference technical programme (2021); Workshop co-organiser (2019, 2021)
2020 (1 edition) Int. Workshop on Biometrics and Forensics (IWBF) Demo chair
SELECTED PUBLICATIONS
(selected among a current total of 42 publications, cited over 470 times)
more info at
jtrpinto.github.io