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Personal profile

Research Interests

I am a PhD researcher at the Department of Electronic and Electrical Engineering at the University of Strathclyde. My primary research interests are Signal Processing, Machine Learning, and Computer Vision.


A recurring theme in my works is the context of learning in data-limited settings:

  • Domain Adaptation
  • Model Robustness Assessment
  • Multi-Modal Learning
  • Generative Models
  • Image Synthesis and Manipulation
  • Blind Image Super-Resolution
  • Image-to-Image Translation

Furthermore, my research involves applying some of these techniques to real-world applications where i) the datasets are small or ii) the risk of poor generalization exists. So far, this has primarily been done with short-range radar data and with satellite imagery.

Teaching Interests

I provide support as a Teaching Assistant for classes:

  • EE273, EE985 - Engineering Design For Software Development 2: Object oriented programming using C++
  • EM270 - Digital Electronics and Programming Design

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 11 - Sustainable Cities and Communities
  • SDG 12 - Responsible Consumption and Production

Education/Academic qualification

Bachelor of Engineering, Electronic and Electrical Engineering with Business Studies, University Of Strathclyde

10 Sept 201531 May 2019

Award Date: 20 Jun 2019


Dive into the research topics where Mikolaj Czerkawski is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years

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