Prof. Andrzej Cichocki is a distinguished Polish computer scientist and electrical engineer. He serves as a professor at the Systems Research Institute of the Polish Academy of Sciences in Warsaw and at Nicolaus Copernicus University (UMK) in Toruń, Poland. He also holds visiting professorships at several esteemed institutions, including RIKEN AIP and the Tokyo University of Agriculture and Technology in Japan. Prof. Cichocki is recognized among the world’s top 1% most-cited researchers, as listed by Clarivate’s Highly Cited Researchers from 2021 to 2023, and is regarded as one of the leading figures in electrical and electronic engineering.

His research contributions are highly regarded in the fields of signal processing and machine learning, particularly in blind signal separation (BSS), Independent Component Analysis (ICA), Non-negative Matrix Factorization (NMF), tensor decompositions, deep multilayer factorizations, tensor networks for big data and machine learning, and brain–computer interfaces. He is the author of several academic monographs and has published over 800 peer-reviewed scientific articles.

Prof. Cichocki received his M.Sc. (with honors), Ph.D., and D.Sc. (habilitation) degrees in electrical engineering and computer science from the Warsaw University of Technology. He was awarded the title of full Professor in 1995. From 1984 to 1989, he was an Alexander von Humboldt Research Fellow and DFG visiting scholar at the University of Erlangen-Nürnberg, Germany, where he collaborated closely with Professor Rolf Unbehauen.

Between 1996 and 2018, he was based at the RIKEN Brain Science Institute in Japan, where he led several research laboratories, including the Open Information Systems Lab, Artificial Brain Systems Lab, and the Laboratory for Advanced Brain Signal Processing. From 2018 to 2022, he held distinguished visiting professorships at various universities, including Hangzhou Dianzi University in China and Tokyo University of Agriculture and Technology.