Nicholas Valceschini


Postdoc researcher


Valceschini Nicholas was born in Vimercate (MB), Italy, on 10th December 1995. He received a Bachelor Degree in Computer Science Engineering in July 2017 and Master Degree cum laude in September 2019 from Università degli Studi di Bergamo (Italy), discussing a thesis on the identification and synthesis of Dynamic Textures.
From October 2019 he joined the Ph.D. program in Engineering and Applied Sciences at CAL. His research activity is focused on the design of controllers based on non-parametric models for the predictive maintenance of system components manufacturing.


Data-driven mixed-sensitivity control with automated weighting functions selection
Valceschini N., Mazzoleni M., Formentin S., Previdi F.
International Journal of Robust and Nonlinear Control
Inertial load classification of low-cost electro-mechanical systems under dataset shift with fast end of line testing
N. Valceschini, M. Mazzoleni, F. Previdi

Engineering Applications of Artificial Intelligence, 2021
Volume 105, Issue 2, Pages 1231-1236,
ISSN: 0952-1976,
DOI: 10.1016/j.engappai.2021.104446

Identification of dynamic textures using Dynamic Mode Decomposition
D. Previtali, N. Valceschini, M. Mazzoleni, F. Previdi

21st IFAC World Congress, Berlin, Germany, July 12-17, 2020
Volume 53, Issue 2, Pages 2423-2428,
ISSN: 2405-8963,
DOI: 10.1016/j.ifacol.2020.12.045.