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Giorgio Picci

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Giorgio Picci
Picci in around 2022
Born (1942-05-26) 26 May 1942 (age 83)
Vittorio Veneto (TV), Italy
NationalityItalian
Alma materUniversity of Padova (Dr. Eng. in 1967)
AwardsFellow of the IEEE (1994)
Foreign member of the Royal Swedish Academy of Engineering Sciences (IVA) (2004)
Fellow of the International Federation of Automatic Control (IFAC) (2009)
Member of the Galilean Academy of Sciences, Letters and Arts in Padova (2024)
Scientific career
FieldsElectrical Engineering and Control Theory
InstitutionsUniversity of Padova (retired in 2012)
Doctoral students
 
  • Alessandro Chiuso
  • Riccardo Muradore
  • Eugenio Cinquemani
  • Stefano Perabò
  • Andrea Masiero
  • Francesca Carli
  • Giulio Bottegal
  • Mattia Bruschetta
  • Martina Favaro
  • Bin Zhu
  • Wenqi Cao
Websitewww.dei.unipd.it/~picci/

Giorgio Picci is an Italian electrical engineer and control theorist. He has made widely recognized contributions to the field of Systems and Control, and in particular, to the areas of Stochastic Realization and System Identification. He was also a pioneer in Computer Vision.[1][2] He has published a monograph (in English)[3] and over 150 papers in these areas.

He is currently a Professor Emeritus with the Department of Information Engineering, University of Padova, Italy.[4] He is also the Italian director of the Confucius Institute at the University of Padova,[5] where he actively promotes cultural and scientific exchanges between China and Italy,[6] in collaborations with Guangzhou University in China.

Biography

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Picci obtained the Doctor in Engineering (Dr. Eng.) degree (summa cum laude) from the University of Padova in 1967. From 1980 to 2012, he was the Chair Professor in System Identification at the Department of Information Engineering, University of Padova. During his career, he had a number of visiting positions with different universities on three continents, namely North America (the United States), Europe (the Netherlands, Austria, and Sweden), and Asia (Japan and China).[7]

Picci is a Fellow of the IEEE,[8] a foreign member of the Royal Swedish Academy of Engineering Sciences,[9] a Fellow of the International Federation of Automatic Control,[10] and a member of the Galilean Academy of Sciences, Letters and Arts in Padova.[11]

Selected publications

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Monograph:

Textbooks:

  • Picci, G. (2024). An Introduction to Statistical Data Science: Theory and Models. Springer, Cham.[13]
  • Picci, G. (2007). Filtraggio Statistico (Wiener, Levinson, Kalman) e Applicazioni (in Italian). Progetto Libreria, Padova.[14]

Edited books:

  • Picci, G. & Valcher, M. E. eds. (2007). A Tribute to Antonio Lepschy. Libreria Progetto, Padova.[15]
  • Picci, G. & Gilliam, D. S. eds. (1999). Progress in Systems and Control Theory: vol. 25, Dynamical Systems, Control, Coding, Computer Vision: New trends, Interfaces, and Interplay. Birkhäuser Verlag, Basel.[16]
  • Beghi, A., Finesso, L., & Picci, G. eds. (1998). Mathematical Theory of Networks and Systems: Proceedings of the MTNS-98 Symposium Held in Padova, Italy, July, 1998, Il Poligrafo, Padova.[17]
  • Bittanti, S. & Picci, G. eds. (1996). NATO ASI Subseries F: vol. 153, Identification, Adaptation, Learning: The Science of Learning Models from Data. Springer-Verlag, Berlin Heidelberg.[18]

Recent papers:

  • Cao, W., Lindquist, A., & Picci, G. (2023). Modeling of low rank time series. IEEE Transactions on Automatic Control, 68(12), 7270-7285.[19]
  • Cao, W., Picci, G., & Lindquist, A. (2023). Identification of low rank vector processes. Automatica, 151, article number: 110938.[20]
  • Picci, G. (2023). Periodic vector processes with an internal Reciprocal Dynamics. Systems & Control Letters, 174, article number: 105503.[21]
  • Picci, G., Falconi, L., Ferrante, A., & Zorzi, M. (2023). Hidden factor estimation in Dynamic Generalized Factor Analysis models. Automatica, 149, article number: 110834.[22]
  • Picci, G. & Zhu, B. (2022). Empirical Bayes identification of stationary processes and approximation of Toeplitz spectra. Automatica, 142, article number: 110362.[23]

References

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  1. ^ Chiuso, Alessandro; Ferrante, Augusto; Pinzoni, Stefano, eds. (24 October 2007). Modeling, Estimation and Control: Festschrift in Honor of Giorgio Picci on the Occasion of his Sixty-Fifth Birthday. Lecture Notes in Control and Information Sciences. Vol. 364. Berlin, Heidelberg: Springer. p. XXVI, 356. doi:10.1007/978-3-540-73570-0. ISBN 978-3-540-73570-0. Retrieved 8 February 2025.
  2. ^ "sergio bittanti memorabilia: people | Celebrating 65-th birthday of Giorgio Picci in Venice at Marzollo's".
  3. ^ a b Lindquist, Anders; Picci, Giorgio (24 April 2015). Linear Stochastic Systems: A Geometric Approach to Modeling, Estimation and Identification. Berlin, Heidelberg: Springer. p. XV, 781. doi:10.1007/978-3-662-45750-4. ISBN 978-3-662-45750-4. Retrieved 8 February 2025.
  4. ^ "Automatica | People".
  5. ^ "Staff | Istituto Confucio di Padova". www.istitutoconfuciopadova.it.
  6. ^ Multiple sources:
  7. ^ "Giorgio Picci's Homepage". www.dei.unipd.it.
  8. ^ "CSS IEEE Fellows Archive | IEEE Control Systems Society". ieeecss.org.
  9. ^ "Ledamot". www.iva.se.
  10. ^ "IFAC Fellows — IFAC · International Federation of Automatic Control". www.ifac-control.org.
  11. ^ "Classe di Scienze Matematiche e Naturali". www.accademiagalileiana.it. October 25, 2024.
  12. ^ "《线性随机系统(一种关于建模估计和辨识的几何方法上下)(精)/现代数学丛书》 【简介_书评_在线阅读】 - 当当 - 博库图书音像专营店". product.dangdang.com.
  13. ^ Picci, Giorgio (8 October 2024). An Introduction to Statistical Data Science: Theory and Models. Cham: Springer. p. XI, 432. doi:10.1007/978-3-031-66619-3. ISBN 978-3-031-66618-6. Retrieved 22 February 2025.
  14. ^ Picci, Giorgio (1 January 2007). Filtraggio Statistico (Wiener, Levinson, Kalman) e Applicazioni. Padova: Progetto Libreria. p. 432. ISBN 9788887331882. Retrieved 22 February 2025.
  15. ^ Picci, Giorgio; Valcher, Maria Elena, eds. (2007). A Tribute to Antonio Lepschy. Padova: Libreria Progetto. p. 221. Retrieved 22 February 2025.
  16. ^ Picci, Giorgio; Gilliam, David S., eds. (1999). Identification, Adaptation, Learning: The Science of Learning Models from Data. Basel: Birkhäuser. p. XI, 497. doi:10.1007/978-3-0348-8970-4. ISBN 978-3-0348-9848-5. Retrieved 22 February 2025.
  17. ^ Beghi, Alessandro; Finesso, Lorenzo; Picci, Giorgio, eds. (1998). Mathematical Theory of Networks and Systems: Proceedings of the MTNS-98 Symposium Held in Padova, Italy, July, 1998. Padova: Il Poligrafo. p. 1117. ISBN 9788871151175. Retrieved 22 February 2025.
  18. ^ Bittanti, Sergio; Picci, Giorgio, eds. (1 July 1996). Identification, Adaptation, Learning: The Science of Learning Models from Data. Berlin, Heidelberg: Springer. p. XXI, 552. ISBN 978-3-540-61080-9. Retrieved 22 February 2025.
  19. ^ Cao, Wenqi; Lindquist, Anders; Picci, Giorgio (December 2023). "Modeling of Low Rank Time Series | IEEE Journals & Magazine | IEEE Xplore". IEEE Transactions on Automatic Control. 68 (12): 7270–7285. arXiv:2109.11814. doi:10.1109/TAC.2023.3321370.
  20. ^ "Identification of low rank vector processes - ScienceDirect". www.sciencedirect.com. arXiv:2111.10899. doi:10.1016/j.automatica.2023.110938.
  21. ^ "Periodic vector processes with an internal Reciprocal Dynamics - ScienceDirect". www.sciencedirect.com. doi:10.1016/j.sysconle.2023.105503.
  22. ^ "Hidden factor estimation in Dynamic Generalized Factor Analysis models - ScienceDirect". www.sciencedirect.com. arXiv:2211.12789. doi:10.1016/j.automatica.2022.110834.
  23. ^ "Empirical Bayes identification of stationary processes and approximation of Toeplitz spectra - ScienceDirect". www.sciencedirect.com. doi:10.1016/j.automatica.2022.110362.
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