Summary
Pavel Rajmic is a research-focused signal processing specialist with over 11 years of experience, holding an MSc and Ph.D. from Brno University of Technology where he continues his academic work. His expertise spans non-orthogonal signal expansions (frames), segmented wavelet transforms, and sparse and low-rank modelling for compressed sensing, blending deep theoretical insight with practical algorithm design. Based in Brno, he bridges applied and computational mathematics to tackle real-world signal analysis problems, often exploring segmentwise transforms that improve robustness on nonstationary data. Colleagues value his ability to translate abstract functional-analysis concepts into implementable methods and experiments, and his long-standing academic role suggests sustained mentorship and teaching contributions beyond research.
10 years of coding experience
MSc., mathematics, economics, MSc., mathematics, economics at Masarykova univerzita Přírodovědecká fakulta
Ph.D., Signal processing, Ph.D., Signal processing at Brno University of Technology Faculty of Electrical Engineering and Communication