CV

Contact Information

Name Pedro Devogelaere
Professional Title PhD Researcher
Email pedro.devogelaere@kuleuven.be

Professional Summary

Driven researcher with a deep interest in computational problems and (biomedical) signal processing, combining strong academic performance with hands-on research and student leadership.

Experience

  • 2025 -

    Leuven, Belgium

    PhD Researcher
    KU Leuven - STADIUS
    Efficient Deep Learning using Autonomous Linear State Space Models.
    • Promotor: Prof. dr. ir. Alexander Bertrand (STADIUS, KU Leuven).
    • Copromotor: Reto A. Wildhaber (FHNW University of Applied Sciences and Arts Northwestern Switzerland).
    • Focuses on improving deep learning efficiency for high-dimensional or high-throughput data by using autonomous linear state space models and efficient recursive updates for resource-constrained and real-time applications.
  • 2025 -
    Teaching Assistant
    KU Leuven
    Digital Signal Processing
  • 2024

    Leuven, Belgium

    Student Researcher
    KU Leuven - MIRC
    Mentored by Prof. dr. ir. Frederik Maes and dr. Ahmed Radwan.
  • 2023

    Leuven, Belgium

    Student Researcher
    KU Leuven - MIRC
    Mentored by Prof. dr. ir. Frederik Maes and Prof. dr. Vincent Vandecaveye.
    • Developed a state-of-the-art image segmentation tool on DW-MR images.
    • Integrated the solution in the MIM system at UZ Leuven.
  • 2022 - 2025
    Teaching Assistant
    KU Leuven
    Information Processing and Transmission
  • 2021 - 2022
    Tutor
    Slaagsleutels

    Calculus, Physics, and Programming courses.

Education

  • 2023 - 2025

    Leuven, Belgium

    Master of Biomedical Engineering
    KU Leuven
    Biomedical Engineering
  • 2020 - 2023

    Leuven, Belgium

    Bachelor of Engineering Sciences
    KU Leuven
    Biomedical Technology and Electrotechnical Engineering
    • Result: magna cum laude (78.69%).
    • Honours Program project on deep-learning-based classification and prediction of breathing patterns (Prof. dr. ir. Sofie Pollin).
  • 2014 - 2020

    Heverlee, Belgium

    Secondary Education
    Sint-Albertuscollege Haasrode
    Maths-Latin

Awards

  • 2024
    1st Place (Technical), Engineering Case Competition
    VTK and Industria Leuven

    Concept to use waste heat from AI data centers in the beer-brewing process of an AB InBev plant.

  • 2024
    2nd Place (Technical), Data4Good Festival
    Hertie School Berlin

    AI-driven tool to help the International Organization for Migration quickly gather and summarize multilingual news.

  • 2023
    Golden Chalk Award
    KU Leuven

    Best teaching assistant award, voted by students.

  • 2022
    Laureate P&O3 - Sunhouse
    Alumni Association, Engineering Sciences

    Developed an algorithm minimizing energy consumption in a green-energy-driven household.

Leadership and Activities

  • 2025 -

    Belgium

    Youngster Committee Member
    NCBME
    • Supported the organization of annual conference activities.
  • 2024 - 2025

    Leuven, Belgium

    Founder
    Biomedix - VTK Leuven
    • Coordinated the team to design and run events for biomedical engineering students.
    • Built and maintained sponsor partnerships to increase event quality and reach.
  • 2022 - 2024

    Leuven, Belgium

    Team Member IT
    VTK Leuven
    • Managed and maintained digital services including wiki, online ticketing, and stock systems.
    • Solved technical problems and worked with PHP, Next.js, HTML, CSS, and JavaScript.
  • 2022 - 2025

    Leuven, Belgium

    Member, Permanent Education Committee
    KU Leuven
  • 2022 - 2023

    Leuven, Belgium

    Half-Time President
    Third-Year Engineering Organization
    • Organized activities for third-year engineering students.
  • 2021 - 2022

    Leuven, Belgium

    Kanweek President
    First and Second Year Engineers and Architects Organization
    • Led organization and execution of activities for first- and second-year students.

Skills

Technical Skills: Signal processing, Medical image analysis, Deep learning, Python, PHP, Next.js, HTML, CSS, JavaScript