Agnieszka Mikołajczyk

PhD Candidate & Machine Learning Enthusiast

Gdańsk University of Technology


Author of scientific papers and publications interested in the issue of machine learning, explainable AI, image analysis as the way of improving people’s everyday life. A PhD student who cares about the further development and training opportunities within interests.


  • Explainable Artificial Intelligence
  • Image Analysis
  • Deep Learning


  • PhD in Machine Learning, 2017 - 2021

    Gdańsk University of Technology

  • MEng in Control Theory, 2016 - 2017

    Gdańsk University of Technology

  • BSc in Automation Control and Robotics, 2012 - 2016

    Gdańsk University of Technology


Detecting and Reducing Bias in Data

Currently, in contrast to shallow models exploited in the past, most deep learning systems extract features automatically, and to do …

Skin Lesion Classification

In the last twenty years the interest of automated skin lesion classification dynamically increased partially because of public …

Bird Song Classification

Sound-Based Bird Classification using Convolutional Neural Networks and Mel-Cepstrum Sepctrograms

Detect waste in Pomerania

Using detection models to localize and classify waste on images and video.


Hackathon. Let's do something for our environment.

Recent & Upcoming Talks

AI, Acoustics & Ornithology for sound-based bird classification

Have you ever wondered about the name of the bird you just heard singing? A group of women from local Polish chapter of Women in …

Introduction to Explainable AI: why should we understand AI decisions?

Is XAI really that important? Why should we try to explain our models’ predictions? A short introduction to explainable AI.

Brief introduction to XAI

Brief introduction to visual local explainabiliy methods - Local Interpretable Model-Agnostic Explanations (LIME), Layer-wise Relevance …


  • Gabriela Narutowicza 11/12, Gdańsk, GDA 80244
  • Enter faculty of Electrical and Control Engineering Building and take the stairs to Office 207 on Floor 2