Professor Cichocki contributed to blind signal and image processing, deep (multilayer) matrix factorizations
(ICA, NMF, SCA), neural networks, machine learning and tensor networks. He is a holder of numerous awards and author of highly cited and well-known publications and 6 monographs in English (three of them translated into Chinese). According to Google Scholar he has h-index above 110, with more than 59,000 citations.
Dr. Cichocki is a winner of numerous awards for his scientific achievements, best conference presentations and best journal publications, e.g., the paper about tensor decompositions published in the IEEE Signal Processing Magazine (2019) and in Entropy about alpha-beta divergences (2014 and 2015).