معرفی
Karol Dziedziul is an Associate Professor at the Institute of Applied Mathematics within the Faculty of Applied Physics and Mathematics at Gdańsk University of Technology. He serves as Head of the Division of Nonlinear Analysis. His primary affiliations center on advanced mathematical research with interdisciplinary applications spanning statistics and biochemistry.
His research focuses on:
- Wavelet analysis and functional decompositions on Riemannian manifolds/spheres
- Statistical estimation methods, particularly density smoothness estimation
- Interdisciplinary applications in biochemistry (catechins, DNA methylation)
Analyses of his 15 most recent publications reveal three dominant themes: (1) Theoretical work on orthogonal projections and wavelet frames in non-Euclidean spaces (2021-2023), (2) Methodological innovations in statistical estimation (2014-2019), and (3) Biochemical investigations of plant enzymes and antioxidants (2013-2023).
He teaches extensively in mathematics and statistics, with 195 documented courses including:
- Statistics I/II
- Risk Management
- SAS Programming
- Machine Learning
- Futures & Derivatives
Karol Dziedziul در سایتهای دیگر
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