Mateusz Gołąbek

Mateusz Gołąbek

Mateusz Gołąbek, MSc
PhD Student
matgolabek@agh.edu.pl

My research mainly focuses on deep neural networks for embedded computer vision. Often it consists of sensor data fusion and is deployable on drones.

Artificial Intelligence Control Theory Deep Neural Networks Embedded Computer Vision Image Processing Robotics Sensor Fusion UAVs

Experience 2

  1. Software Developer

    January 2025 – June 2026
    AGH AVADER student research group, AGH University of Kraków

    Participated in drone competitions with the student research group, achieving top international results (ICUAS, IWDD).

  2. R&D Engineer

    June 2024 – June 2026
    ABB

    Built a HIL simulator from scratch (including hardware setup and software environment) for testing fieldbus protocols. Implemented solutions by integrating custom Python scripting with direct PLC and FPGA programming.

Education 3

  1. PhD candidate

    2026 – Present
    AGH Doctoral School, AGH University of Kraków

    Automation, Electronics, Electrical Engineering and Space Technologies. Research topic: Adaptive Sensor Data Fusion on SoC FPGA Platforms for Robust UAV Swarm Navigation.

  2. Bachelor of Engineering

    2021 – 2025
    AGH University of Kraków

    Automatic Control and Robotics. Thesis: Object tracking utilizing fusion of vision and thermal imaging implemented in an SoC FPGA using the Vitis AI tool.

  3. Master of Science

    2021 – 2026
    AGH University of Kraków

    Automatic Control and Robotics / Intelligent Control Systems. Graduated with honours. Thesis: Autonomous coordination of a UAV swarm in an urban environment while keeping constant communication.

Awards 6

  1. 63rd Metallurgical Conference SKN AGH – 1st place

    1 May 2026
    AGH University of Kraków

    Presentation of a scientific paper on autonomous threat detection using UAV swarms.

  2. IWDD Contest (WACV 2026) – 1st place

    1 March 2026
    WACV 2026

    Designed a custom spatio-temporal convolutional network based on MoViNet to classify illegal waste dumping in videos.

  3. ICUAS 2026 Competition – 1st place in simulation, 2nd place in hardware stage

    1 March 2026
    International Conference on Unmanned Aircraft Systems (ICUAS)

    Implemented a heuristic reactive artificial potential fields method for dynamic navigation and obstacle avoidance for a coordinated team of UAVs.

  4. 62nd Metallurgical Conference SKN AGH – 1st place

    1 May 2025
    AGH University of Kraków

    Presentation of a scientific paper on autonomous threat detection using UAV swarms.

  5. ICUAS 2025 Competition – 4th place in simulation and hardware stages

    1 May 2025
    International Conference on Unmanned Aircraft Systems (ICUAS)

    International drone swarm challenge.

  6. Laureate of the 14th National Olympiad "The Diamond Index of the AGH UST"

    1 June 2021
    AGH University of Kraków

    Awarded in mathematics.

Publications

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