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João Ribeiro Pinto

João ribeiro pinto

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location of João Ribeiro PintoBraga, Braga, Portugal
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  • Timeline

  • About me

    PhD | Research Engineer @ Vision-Box

  • Education

    • Colégio de nossa senhora da boavista

      2004 - 2012
      High school - science and technology

    • Faculdade de engenharia da universidade do porto

      2018 - 2022
      Doctor of philosophy - phd electrical and computers engineering

      • PhD research focused on Pattern Recognition, Machine Learning, Computer Vision, and Signal Processing• Thesis: ”Seamless Multimodal Biometrics for Continuous Personalised Wellbeing Monitoring”, supervised by Professor Jaime S. Cardoso and Professor Miguel V. Correia• Conducted research on biometrics, wellbeing monitoring, and other ML/CV topics• Authored 38 scientific articles with my research• Received the Max Snijder 2022 Award by the European Association for Biometrics

    • Faculdade de engenharia da universidade do porto

      2014 - 2017
      Master's degree bioengineering (field of biomedical engineering) 16 (out of 20)

      Atividades e grupos:IEEE EMBS Student Branch Chapter Univ. Porto (Founding Member); NuIEEE Universidade do Porto (Member); Visual Intelligence Lab (Member); BEST Porto. • Thesis: ”Continuous Personalised Wellbeing on the Steering Wheel” (grade 20/20), supervised by Professor Jaime S. Cardoso (FEUP) and Professor André Lourenço (CardioID Technologies)• Obtained strong foundations in machine learning, programming, and computer vision• Authored 2 journal articles on image analysis and biometrics

    • Universidade de trás-os-montes e alto douro

      2012 - 2014
      Bioengineering

      Atividades e grupos:Group Monitor (UTAD Júnior 2014 - Junior University).

  • Experience

    • Cardioid technologies lda

      Jan 2016 - Jul 2017
      Signal processing and machine learning intern

      • Compiled the most complete survey on ECG biometrics to date (over 180 citations)• Developed a complete machine learning solution for vehicle driver biometrics in challenging settings• Benchmarked ECG biometric algorithms in edge scenarios from digital signal processing to decision

    • Núcleo de estudantes de bioengenharia - feup/icbas

      Nov 2016 - Jul 2017
      Communication and image dept. collaborator

      • Developed and managed two new information systems and websites• Helped organise the 8th Symposium on Bioengineering (2017)

    • Faculdade de engenharia da universidade do porto

      Jan 2017 - Jan 2018
      Deep learning and signal processing researcher

      • Developed the first end-to-end model for ECG biometric recognition, achieving 56% lower error rates• Designed tailored data augmentation and transfer learning strategies for ECG signals

    • Visum summer school

      Jan 2019 - Jul 2022
      Organising team member

      • Collaborated on the organization of this international summer school, including lectures on computer vision topics, hands-on practical sessions, and a challenging project for teams of participants• Was part of the project team and supported hands-on sessions since 2019• Contributed on website management and social media marketing in 2021 and 2022

    • Iwbf 2020

      Jan 2020 - Jan 2020
      Demo chair

      • Collaborated on the organisation of the 8th IWBF conference• Developed and managed the event website, visual identity, virtual poster session, and organised the demo session

    • Xai4biometrics workshop

      Jan 2021 - now
      Workshop organization team member

      • Collaborated on the organisation of four editions of the scientific workshop on explainability and interpretability for biometrics at WACV and ECCV• Was part of the Programme Committee in 2023 and 2024;• Served as Publicity and Local Organisation Chair in 2021 and 2022• Reviewed scientific submissions as part of the technical programme committee• Developed and managed the event website and visual identity

    • Inesc technology and science - associate laboratory

      Jan 2021 - Jan 2022

      • Developed novel, robust, and optimized algorithms for ECG and face biometrics• Created a simpler, faster, and more accurate method for biometric security in deep learning• Contributed to the development of personalized driver drowsiness monitoring systems• Explored architectures for tasks such as classification, segmentation, object detection, metric learning• Developed temporal neural networks for multi-sensor emotion and activity monitoring• Implemented an AI violence detection system from conceptualization to in-vehicle deploymentProjects:• Aurora Project w/Bosch Portugal - Jan 2022 to Apr 2022• Easy Ride Project w/Bosch Portugal - Feb 2020 to Dec 2021• AUTOMOTIVE Project w/CardioID Technologies - Jul 2019 to Nov 2021 Exibir menos

      • Biometrics and Computer Vision Researcher

        Jan 2017 - Jan 2022

      • Organisation Committee Member at Open Day CTM 2021

        Jan 2021 - Jan 2021

    • Bosch portugal

      Jan 2022 - Jan 2023
      Senior deep learning engineer

      • Developed machine learning and deep learning solutions for automated driving scenarios• Implemented architectures for road lane estimation, semantic segmentation, and sensor blockage• Improved AI models efficiency for deployment in low processing power devices• Managed a project on cybersecurity, privacy, and biometrics for autonomous vehicles• Conducted AI technical interviews and screenings for recruiting new team members• Played a key role in the conceptualization of future projects and strategies for automated driving Exibir menos

    • Vision-box, an amadeus company

      Jan 2024 - now
      Research engineer

  • Licenses & Certifications

    • Efset english certificate - score: 72/100, proficient (cefr c2)

      Ef education first
      View certificate certificate

  • Honors & Awards

    • Awarded to João Ribeiro Pinto
      EAB Max Snijder Award 2022 European Association for Biometrics (EAB) Sep 2022 European biometrics award granted for the Ph.D. research in ECG biometrics and how to take advantage of deep learning methodologies to advance the field towards higher accuracy, completeness, and robustness in realistic seamless scenarios."The Max Snijder Award is granted to a researcher, who through his work expressed a wider perspective to get a broader picture on biometric applications."
    • Awarded to João Ribeiro Pinto
      Best Ph.D. Student Live Presentation (awarded by the jury) NIS Workshop 2021 Jul 2021
    • Awarded to João Ribeiro Pinto
      Best Session Paper Award Fourth IEEE International Conference on Image Processing, Applications and Systems (IPAS 2020) Dec 2020 Award for Best Paper presented in session S1 “Image understanding and activity recognition“ at the IPAS 2020 international conference.
    • Awarded to João Ribeiro Pinto
      Best Paper Award 2020 8th IEEE International Workshop on Biometrics and Forensics (IWBF) Apr 2020 IWBF 2020 Best Paper Award, supported by the Computers Journal, for my paper "Secure Triplet Loss for End-to-End Deep Biometrics"
    • Awarded to João Ribeiro Pinto
      Prémio Católica 2012: Ciência e Saúde Universidade Católica Portuguesa May 2012 1st Prize on a High School national competition.Scientific essay development on health problems and their possible solutions, with main focus on gerontology.