Michal Mackiewicz

Dr

  • 2.21 Sciences

If you made any changes in Pure these will be visible here soon.

Personal profile

Key Research Interests and Expertise

Pattern recognition and machine learning, colour vision, psychophysics

 

Academic Background

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 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 and in 2016, a Lecturer. Since 2020, he has been an Associate Professor in Computer Science at CMP, UEA.

 

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

Colour Imaging Pipeline for Orchard Aerial Surveys

SmartfishH2020

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

Teaching Interests

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.

Key Responsibilities

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

British Machine Vision Association (BMVA) executive committee member.

Health & Safety Officer at School of Computing Sciences.

 

 

Network

Recent external collaboration on country/territory level. Dive into details by clicking on the dots or