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== Books ==
== Books ==


* 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}},{{ doi.org/10.1002/acs.4480080309}}
* 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.  {{doi|10.1561/2200000059}}  
* 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}}
* 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}}
* 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}},{{doi.org/10.1007/978-3-642-83677-0}}


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


* 2021, 2022 Andrzej Cichocki is listed among Clarivate's Web of Science [[Highly Cited Researchers]]<ref>{{cite web |url=https://www.webofscience.com/wos/author/record/1969193/|title=Highly Cited Researchers 2021, 2022 recipients|publisher=Clarivate|language=en|website= webofscience.com|accessdate=2023-08-08}}</ref><ref>{{Cite web|url=https://recognition.webofscience.com/awards/highly-cited/2021/
* 2021, 2022 Andrzej Cichocki is listed among Clarivate's Web of Science [[Highly Cited Researchers]]<ref>{{cite web |url=https://www.webofscience.com/wos/author/record/1969193/|title=Highly Cited Researchers 2021, 2022 recipients|publisher=Clarivate|language=en|website= webofscience.com|accessdate=2023-08-08}}</ref><ref>{{Cite web|url=https://recognition.webofscience.com/awards/highly-cited/2021/

Revision as of 18:47, 13 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

  • Cichocki, A., & Unbehauen, R. (1993). Neural Networks for Optimization and Signal Processing. John Wiley & Sons, Inc.. ISBN 978-0-471-93010-5,Template:Doi.org/10.1002/acs.4480080309
  • 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,Template:Doi.org/10.1007/978-3-642-83677-0

Awards and honors

  • 2018 The best paper award in  2018 in IEEE Signal Processing Magazine for the paper “Tensor decompositions for signal processing applications: From two-way to multiway component analysis”, coauthored by A. Cichocki, D. Mandic, L De Lathauwer, A.H. Phan,  Q. Zhao,  C. Caiafa, G, Zhao  [5]
  • 2018 H.C. (Honoris Causa) Doctorate, awarded by  Nicolaus Copernicus University, Torun, Poland, February 27, 2022 [6]
  • 2016 Excellent ICONIP Paper Award for the paper authored by Namgil Lee, Anh-Huy Phan, Fengyu Cong, Andrzej Cichocki. “Nonnegative tensor train decompositions for multi-domain feature extraction and clustering”
  • 2015 The best paper award in Journal Entropy  the paper “Generalized Alpha-Beta divergences and their application to robust non-negative matrix factorization” Entropy 2011, 13(1), 134–170; coauthored by  A. Cichocki, S. Cruces and S. Amari doi:10.3390/e13010134 [7]
  • 2014 The Best paper award in Journal Entropy for 2014 for the paper coauthored by Andrzej Cichocki and Shun'ichi Amari, “Families of Alpha- Beta- and Gamma- Divergences: Flexible and robust measures of similarities” [8]
  • 2010  APNNA Best Paper Award for the paper coauthored by Yunjun Nam, Qibin Zhao, Andrzej Cichocki, and Seungjin Choi “A tongue-machine interface: Detection of tongue positions by glossokinetic potentials,” in Proceedings of the International Conference on Neural Information Processing (ICONIP-2010), Sydney, Australia, November 22-25, 2010.
  • 1995  Received a title of Professor in Poland from the President of the country

References

  1. ^ "Books Authored by Andrzej Cichocki". Amazon Authors Directory.
  2. ^ "Best Scientists - Computer Science". Guide 2 Research. Retrieved 2023-08-08.
  3. ^ "Highly Cited Researchers 2021, 2022 recipients". webofscience.com. Clarivate. Retrieved 2023-08-08.
  4. ^ "Highly Cited Researchers according to Web of Science". webofscience.com. Retrieved January 24, 2022.
  5. ^ "Best paper award for 2018 in IEEE Signal Processing Magazine". IEEE SPS =2019-01-20.
  6. ^ "Andrzej Cichocki received Doctorate Honoris Causa". UMK, Nauka w Polsce =2018-02-27.
  7. ^ / "Best paper award for 2015 in Journal Entropy". mdpi.com =2015-12-20. {{cite web}}: no-break space character in |url= at position 43 (help)
  8. ^ "Best paper award for 2014 in Journal Entropy". mdpi.com =2014-12-20.
  9. ^ "2013 elevated fellow". IEEE Explore. Retrieved June 24, 2023.

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