Andrzej Cichocki

Andrzej Cichocki is a computer scientist whose AI research includes neural learning, blind source separation, and brain-signal processing. He earned electrical-engineering degrees at Warsaw University of Technology, held an Alexander von Humboldt fellowship, and directed laboratories at RIKEN in Japan. His honors include IEEE Fellowship in 2013, an honorary doctorate from Nicolaus Copernicus University in 2018, and the Dennis Gabor Award in 2025. As of October 2026, he is a professor at the Systems Research Institute of the Polish Academy of Sciences.

Now at: Systems Research Institute of the Polish Academy of Sciences, Skolkovo Institute of Science and Technology and Nicolaus Copernicus University
Works: 1,255
Citations: 52,434
h-index: 108
Rankings: #34 by first-author papers, #61 by last-author papers and #34 by cited papers
Badges: Centurion
Wayfarer
Loyal
Pioneer

Publication numbers from OpenAlex, as of 18 October 2026.

Timeline

1972–1982

Electrical engineering degrees

At Warsaw University of Technology, he earns an M.Sc. in automation and electronics with honors in 1972, a Ph.D. in 1976, and a habilitation degree in 1982.
1984–1985

An Alexander von Humboldt fellowship

Between 1984 and 1985, he holds a fellowship from the Alexander von Humboldt Foundation.
1995

Professor and a learning rule

He receives the title of professor in 1995. With Shun-ichi Amari and Howard Hua Yang, he publishes “A New Learning Algorithm for Blind Signal Separation” in 1995, which describes an online learning algorithm for blind separation of mixed signals.
1995–2018

Directing labs at RIKEN

From 1995 to 2018, he directs laboratories at RIKEN's Brain Science Institute in Japan. He leads the Advanced Brain Signal Processing laboratory from 2000.
2013–2018

IEEE Fellow and an honorary doctorate

The IEEE Signal Processing Society recognizes him as a Fellow in 2013 for contributions to applications of blind signal processing and artificial neural networks. Nicolaus Copernicus University awards him an honorary doctorate in 2018 for achievements in brain research and the development of artificial neural networks.
2025

The Dennis Gabor Award

In 2025, he receives the Dennis Gabor Award from the International Neural Network Society. He is a computer scientist working on artificial intelligence and neural networks.
2025

A keynote on tensor networks

At the 2025 International Conference on Neural Networks, he gives a keynote on tensors and tensor networks for processing multidimensional data and reducing deep-neural-network parameters.
As of October 2026

Professor at the Systems Institute

As of October 2026, he is a professor in the Department of Intelligent Systems at the Systems Research Institute of the Polish Academy of Sciences. His listed interests include AI and neural networks, signal and image processing, and brain-computer interfaces.