Anton Popov

Anton Popov is a seasoned professional specializing in the research and development of Machine Learning and DSP algorithms for biosignal analysis. His expertise includes brain electrical activity, heart rate variability analysis, and the structural and nonlinear analysis of EEG, HRV, and ECG signals.

Anton has a diverse educational background, having pursued Bachelors and Masters degrees in Electronics at the National Technical University Of Ukraine 'Kyiv Polytechnic Institute'. Additionally, he studied Mathematics, Education, and Physics at the Technical Lyceum Of National Technical University and obtained a Doctor of Philosophy in Philosophy from the same institution.

Throughout his career, Anton has held significant roles in various organizations. He currently serves as the AI/Deep Learning Technical Lead at Ciklum. Previously, he was a Councelor of IEEE KPI Student Branch at IEEE, an Associate Professor at the National Technical University of Ukraine 'Kyiv Polytechnic Institute', and a Member at IEEE.

For more information about Anton Popov and his work, you can visit his group's webpage at http://www.phbme.kpi.ua/~popov/group.html