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'''Andrzej Cichocki''' is a Polish computer scientist, electrical engineer and academic professor at several universities. He is most noted for his learning algorithms for   Blind Source Separation (BSS), Independent Component Analysis (ICA),  Deep (Multilayer) Matrix Factorizations for ICA, NMF, PCA,  neural networks for optimization and signal processing, Nonnegative Matrix and Tensor Factorization  Factorizations (NMF/NTF),  Tensor  Networks  for Machine Learning and Big Data, and [[Brain–computer interface|brain–computer interfaces]]. He is the author of several monographs/books <ref>{{Cite web|url=https://www.amazon.com/Books-Andrzej-Cichocki/s?rh=n%3A283155%2Cp_27%3AAndrzej+Cichocki
'''Andrzej Cichocki''' is a Polish computer scientist, electrical engineer and academic professor at several universities. He is most noted for his learning algorithms for   Blind Source Separation (BSS), Independent Component Analysis (ICA),  Deep (Multilayer) Matrix Factorizations for ICA, NMF, PCA,  neural networks for optimization and signal processing, Nonnegative Matrix and Tensor Factorization  Factorizations (NMF/NTF),  Tensor  Networks  for Machine Learning and Big Data, and [[brain–computer interface]]s. He is the author of several monographs/books <ref>{{Cite web|url=https://www.amazon.com/Books-Andrzej-Cichocki/s?rh=n%3A283155%2Cp_27%3AAndrzej+Cichocki
|title=Books Authored by Andrzej Cichocki|website=Amazon Authors Directory}}</ref> and more than 500 scientific papers.
|title=Books Authored by Andrzej Cichocki|website=Amazon Authors Directory}}</ref> and more than 500 scientific papers.


He is one of the leading computer scientists affiliated with Poland .<ref>{{cite web|url=hhttps://https://research.com/u/andrzej-cichocki|title=Best Scientists - Computer Science|publisher=Guide 2 Research|accessdate=2023-08-08}}</ref>
He is one of the leading computer scientists affiliated with Poland .<ref>{{cite web|url=hhttps://research.com/u/andrzej-cichocki|title=Best Scientists - Computer Science|publisher=Guide 2 Research|accessdate=2023-08-08}}</ref>


⚫
== Education ==



⚫
== Education ==


Cichocki received a Ph.D from the [[Warsaw University of Technology]] in 1976 and a [[Habilitation]] in 1982 also from the Warsaw University of Technology.
Cichocki received a Ph.D from the [[Warsaw University of Technology]] in 1976 and a [[Habilitation]] in 1982 also from the Warsaw University of Technology.
Line 50: Line 47:
== Books[edit] ==
== Books[edit] ==


* Cichocki, A., & Unbehauen, R. (1993). ''Neural Networks for Optimization and Signal Processing''. John Wiley & Sons, Inc.. ISBN: 978-0-471-93010-5
* Cichocki, A., & Unbehauen, R. (1993). ''Neural Networks for Optimization and Signal Processing''. John Wiley & Sons, Inc.. {{ISBN|978-0-471-93010-5}}
* Cichocki, A., & Amari, S. I. (2002). ''Adaptive Blind Signal and Image Processing: Learning Algorithms and Applications''. John Wiley & Sons. ISBN:9780470845899 |DOI:10.1002/0470845899
* Cichocki, A., & Amari, S. I. (2002). ''Adaptive Blind Signal and Image Processing: Learning Algorithms and Applications''. John Wiley & Sons. {{ISBN|9780470845899}} |DOI:10.1002/0470845899
* Cichocki, A., Zdunek, R., Phan, A. H., & Amari, S. I. (2009). ''Nonnegative Matrix and Tensor Factorizations: Applications to Exploratory Multi-way Data Analysis and Blind Source Separation''. John Wiley & Sons.  ISBN:9780470747278 |DOI:10.1002/9780470747278
* Cichocki, A., Zdunek, R., Phan, A. H., & Amari, S. I. (2009). ''Nonnegative Matrix and Tensor Factorizations: Applications to Exploratory Multi-way Data Analysis and Blind Source Separation''. John Wiley & Sons. {{ISBN|9780470747278}}, {{doi|10.1002/9780470747278}}
* Cichocki, A., Lee, N., Oseledets, I., Phan, A. H., Zhao, Q., & Mandic, D. P. (2016). Tensor Networks for Dimensionality Reduction and Large-Scale Optimization: Part 1 Low-Rank Tensor Decompositions. ''Foundations and Trends® in Machine Learning'', ''9''(4-5), 249-429.  <nowiki>http://dx.doi.org/10.1561/2200000059</nowiki>  
* Cichocki, A., Lee, N., Oseledets, I., Phan, A. H., Zhao, Q., & Mandic, D. P. (2016). Tensor Networks for Dimensionality Reduction and Large-Scale Optimization: Part 1 Low-Rank Tensor Decompositions. ''Foundations and Trends® in Machine Learning'', ''9''(4-5), 249-429.  {{doi|10.1561/2200000059}}  
* Cichocki, A., Phan, A. H., Zhao, Q., Lee, N., Oseledets, I., Sugiyama, M., & Mandic, D. P. (2017). Tensor Networks for Dimensionality Reduction and Large-Scale Optimization: Part 2 Applications and Future Perspectives. ''Foundations and Trends® in Machine Learning'', ''9''(6), 431-673.  <nowiki>http://dx.doi.org/10.1561/2200000067</nowiki>
* Cichocki, A., Phan, A. H., Zhao, Q., Lee, N., Oseledets, I., Sugiyama, M., & Mandic, D. P. (2017). Tensor Networks for Dimensionality Reduction and Large-Scale Optimization: Part 2 Applications and Future Perspectives. ''Foundations and Trends® in Machine Learning'', ''9''(6), 431-673. {{doi|10.1561/2200000067}}
* Unbehauen, R., & Cichocki, A. (2012). ''MOS Switched-Capacitor and Continuous-time Integrated Circuits and Systems: Analysis and Design''. Springer Science & Business Media.   <nowiki>ISBN 978-3-642-83677-0</nowiki>
* Unbehauen, R., & Cichocki, A. (2012). ''MOS Switched-Capacitor and Continuous-time Integrated Circuits and Systems: Analysis and Design''. Springer Science & Business Media. {{ISBN|978-3-642-83677-0}}


== Awards and honours ==
== Awards and honours ==


Cichocki is listed among Clarivate's Highly Cited Researchers.<ref>{{Cite web|url=https://recognition.webofscience.com/awards/highly-cited/2021/
Cichocki is listed among Clarivate's Highly Cited Researchers.<ref>{{Cite web|url=https://recognition.webofscience.com/awards/highly-cited/2021/

Revision as of 06:04, 9 August 2023

Andrzej Cichocki
Born
Poland
Alma materWarsaw University of Technology
AwardsHumboldt Prize
Fellow IEEE
Scientific career
FieldsMachine Learning
Tensor Networks
Signal and Image Processing
InstitutionsSystems Research Institute Polish Academy of Sciences
Warsaw University of Technology
Nicolaus Copernicus University
RIKEN Brain Science Institute

Andrzej Cichocki is a Polish computer scientist, electrical engineer and academic professor at several universities. He is most noted for his learning algorithms for   Blind Source Separation (BSS), Independent Component Analysis (ICA),  Deep (Multilayer) Matrix Factorizations for ICA, NMF, PCA,  neural networks for optimization and signal processing, Nonnegative Matrix and Tensor Factorization  Factorizations (NMF/NTF),  Tensor  Networks  for Machine Learning and Big Data, and brain–computer interfaces. He is the author of several monographs/books [1] and more than 500 scientific papers.

He is one of the leading computer scientists affiliated with Poland .[2]

Education

Cichocki received a Ph.D from the Warsaw University of Technology in 1976 and a Habilitation in 1982 also from the Warsaw University of Technology.

Books[edit]

  • Cichocki, A., & Unbehauen, R. (1993). Neural Networks for Optimization and Signal Processing. John Wiley & Sons, Inc.. ISBN 978-0-471-93010-5
  • Cichocki, A., & Amari, S. I. (2002). Adaptive Blind Signal and Image Processing: Learning Algorithms and Applications. John Wiley & Sons. ISBN 9780470845899 |DOI:10.1002/0470845899
  • Cichocki, A., Zdunek, R., Phan, A. H., & Amari, S. I. (2009). Nonnegative Matrix and Tensor Factorizations: Applications to Exploratory Multi-way Data Analysis and Blind Source Separation. John Wiley & Sons. ISBN 9780470747278, doi:10.1002/9780470747278
  • Cichocki, A., Lee, N., Oseledets, I., Phan, A. H., Zhao, Q., & Mandic, D. P. (2016). Tensor Networks for Dimensionality Reduction and Large-Scale Optimization: Part 1 Low-Rank Tensor Decompositions. Foundations and Trends® in Machine Learning, 9(4-5), 249-429.  doi:10.1561/2200000059  
  • Cichocki, A., Phan, A. H., Zhao, Q., Lee, N., Oseledets, I., Sugiyama, M., & Mandic, D. P. (2017). Tensor Networks for Dimensionality Reduction and Large-Scale Optimization: Part 2 Applications and Future Perspectives. Foundations and Trends® in Machine Learning, 9(6), 431-673. doi:10.1561/2200000067
  • Unbehauen, R., & Cichocki, A. (2012). MOS Switched-Capacitor and Continuous-time Integrated Circuits and Systems: Analysis and Design. Springer Science & Business Media. ISBN 978-3-642-83677-0

Awards and honours

Cichocki is listed among Clarivate's Highly Cited Researchers.[3]

Andrzej Cichocki was named Fellow of the Institute of Electrical and Electronics Engineers (IEEE) in 2013[4] for contributions to applications of blind signal processing and artificial neural networks.

References

  1. ^ "Books Authored by Andrzej Cichocki". Amazon Authors Directory.
  2. ^ [hhttps://research.com/u/andrzej-cichocki "Best Scientists - Computer Science"]. Guide 2 Research. Retrieved 2023-08-08.
  3. ^ "Highly Cited Researchers according to Web of Science". webofscience.com. Retrieved January 24, 2022.
  4. ^ "2013 elevated fellow" (PDF). IEEE Fellows Directory. Retrieved January 24, 2022.

External links


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