Kamil Jeziorek

Kamil Jeziorek

Msc Kamil Jeziorek
Research and teaching assistant
PhD Student
kjeziorek@agh.edu.pl

I design low-power, real-time vision systems for autonomous vehicles and robotics. My research centers on event-based (neuromorphic) cameras and graph neural networks, with an emphasis on turning these ideas into deployable hardware on FPGAs and SoC platforms. I’m especially interested in efficient, low-latency AI pipelines and sensor-fusion methods that make perception faster, and more reliable in the real world.

Computer Vision Deep Neural Networks Event Cameras Graph Neural Networks Hardware Acceleration Multi-modal Data

Experience

  1. Research and teaching assistant

    AGH University of Kraków
    Conducting research and teaching on deep neural networks and image processing.

  1. Intern

    IDEAS NCBR
    Research in the Sustainable Computer Vision for Autonomous Machines group on integrating data from event cameras with recurrent networks and vision transformers for object detection.

Education

  1. PhD candidate

    AGH Doctoral School, AGH University of Kraków
    Automation, Electronics, Electrical Engineering, and Space Technologies

  1. Master of Science

    AGH University of Kraków
    Automatic Control and Robotics / Intelligent Control Systems

  1. Bachelor of Engineering

    AGH University of Kraków
    Automatic Control and Robotics

Awards

  1. Obtaining NCN PRELUDIUM Grant

    Polish National Science Centre
    Project titled: F+E: Enhancing Perception through the Integration of Frame and Event Cameras

  1. AMD Open Hardware Design Competition 2024 – Winner (PhD category)

    AMD
    Graph Convolutional Neural Networks for Event-Based Vision for AMD SoC FPGA

Publications

2024

  1. Optimising graph representation for hardware implementation of graph convolutional networks for event-based vision
    Kamil Jeziorek, Piotr Wzorek, Krzysztof Blachut, Andrea Pinna, and Tomasz Kryjak
    In , 2024
    DOI

2023

  1. Memory-efficient graph convolutional networks for object classification and detection with event cameras
    Kamil Jeziorek, Andrea Pinna, and Tomasz Kryjak
    In , 2023
    DOI

2022

  1. Traffic sign detection and recognition using event camera image reconstruction
    Kamil Jeziorek and Tomasz Kryjak
    Zeszyty Studenckiego Towarzystwa Naukowego, 2022