Mikolaj focuses on the applications of AI and computer vision techniques for understanding and enhancing satellite image data. A common theme of Mikolaj’s work relates to generative methods, such as image inpainting, super-resolution or image-to-image translation, but also covers extracting knowledge from satellite images via classification, segmentation and detection.
Mikolaj is an active contributor and supporter of the open-source community with past projects including a free course on generative AI and various tools for image synthesis.
Mikolaj’s background expertise covers computer vision, machine learning, and signal processing, with other research interests including Doppler radar signal processing and agritech applications of AI. He completed his BEng at the University of Strathclyde in Glasgow, Scotland and is currently in the process of finalizing his PhD at the same institution on the topic of computer vision techniques for satellite image cloud removal.
Back to Our People page
