colour and physics based vision, environmental monitoring,  semi- and self-supervised learning, medical imaging

Michal received his MSc in Telecommunications at the University of Science and Technology (AGH) in Krakow in 2003. That year he joined the School of Computing Sciences (CMP) at the University of East Anglia (UEA) and began a PhD titled “Wireless capsule endoscopy video analysis”. He has worked as a research assistant on a research project sponsored by Buhler Sortex and later on the EPSRC grant titled “Illuminating Colour Constancy: From Physics to Photography”. In 2014, he became an Independent Research Fellow, in 2016, a Lecturer, and in 2020, an Associate Professor. In 2024, he was appointed Professor of Computer Vision at CMP, UEA.

Michal has been involved in researching areas of colour science, physics based vision, environmental monitoring, medical imaging and machine learning. Recently, he has been involved in several ongoing projects, links to which can be found below:

EVERYFISH - Digital Transition of Catch Monitoring in European Fisheries (Horizon Europe)

Colour Imaging Pipeline for Orchard Aerial Surveys

SMARTFISH - Innovation for Sustainable Fisheries (Horizon 2020)

JellyMonitor: developing a jellyfish early warning system for coastal power stations

I am a module organiser and a lecturer on CMP-6035B/CMP-7026B Computer Vision. In the past, I also taught Architectures and Operating System, Networks and Graphics I modules.

Postgraduate Research Director at School of Computing Sciences.

NERC Next Generation Unmanned Systems Science (NEXUSS) Centre for Doctoral Training steering committee member.

British Machine Vision Association (BMVA) executive committee member.

Colour & Imaging Lab

Prospective PhD students should contact me by email to discuss the project title, scope and how to apply.

Current PhD opportunities:

ARIES DTP Studentship: Advancing Automation in Aerial Imaging for Marine Litter Detection