Projects per year
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 and Artificial Intelligence. Specifically, a lot of my work attempts to adapt novel tools from the field of Artificial Intelligence, primarily Deep Learning, to new contexts that in the Signal Processing domain prove challenging.
Additionally, my work extends to several application-oriented areas where I have a chance to test my contributions in practical conditions. One of my crucial interests in that regard is the application of short-range radar for detecting and monitoring vital signs. With the recent developments in affordable and compact microwave radar hardware, it may be possible to design inexpensive and robust systems that can locate and continuously monitor the vital signs of living targets. This technology is not only more convenient than traditional methods requiring physical contact, but can also allow for a more reliable method of continuous vital sign monitoring, particularly useful for patients with risk of Sleep Apnea, SIDS, heart attack, or other.
Other application themes I am investigating include Radar Gait Classification, Radar Target Detection, Animal Health Monitoring, Diver Monitoring, Image Segmentation, and Cross-Domain Translation.
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
Bachelor of Engineering, University Of Strathclyde
10 Sep 2015 → 31 May 2019
Award Date: 20 Jun 2019
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Fostering Precision Agriculture and Livestock Farming through Secure Access to Large-Scale HPC-Enabled Virtual Industrial Experimentation Environment Empowering Scalable Big Data Analytics (H2020-ICT-2018-2020) (CYBELE) | Czerkawski, Mikolaj
1/10/19 → 1/04/23
Project: Research - Internally Allocated
1/10/19 → 1/04/23
Project: Research Studentship - Internally Allocated
Zhou, N., Zhong, L., Hoppe, D., Pejak, B., Marko, O., Cardona, J., Czerkawski, M., Andonovic, I., Michie, C., Tachtatzis, C., Alexakis, E., Mavrepis, P., Kyriazis, D. & Pospieszny, M., 17 Dec 2021, HPC, Big Data, AI Convergence Towards Exascale: Challenge and Vision. Terzo, O. & Martinovic, J. (eds.).
Research output: Chapter in Book/Report/Conference proceeding › Chapter
Interference motion removal for Doppler radar vital sign detection using variational encoder-decoder neural networkCzerkawski, M., Ilioudis, C., Clemente, C., Michie, C., Andonovic, I. & Tachtatzis, C., 14 May 2021, 2021 IEEE Radar Conference (RadarConf21). New York, NY.: IEEE, p. 1-6 6 p. (IEEE National Radar Conference - Proceedings; vol. 2021-May).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution bookOpen AccessFile16 Downloads (Pure)