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He has held a number of visiting positions in North American, Australian, and European Universities. He was at the University of Ulm and University of Goettingen as an Alexander von Humboldt Foundation Fellow. His research interests include statistical signal processing, machine learning, and nonparametric modeling. Among his publications in these areas are the books Image Analysis by Moments (Wroclaw Univ. Press, 2008), and Nonparametric System Identification (Cambridge Univ. Press, 2010), coauthored with Prof. Greblicki. Dr. Pawlak has been an Associate Editor of the Journal of Pattern Recognition and Applications, Pattern Recognition, International Journal on Sampling Theory in Signal and Image Processing, Opuscula Mathematica and Statistics in Transition-New Series. Dr. Pawlak name has appeared on the World’s Top 2% Scientists list published recently by Stanford University.
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2023 International Conference on Sampling Theory and Applications (SampTA)pp.1-5, (2023)
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Measurement (2023): 113273-113273
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ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)pp.1-5, (2023)
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2022 8th International Conference on Event-Based Control, Communication, and Signal Processing (EBCCSP)pp.1-6, (2022)
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