Giuseppe Carlo Calafiore is affiliated with the Polytechnic University of Turin in Italy. Their research spans various fields, primarily within engineering and computer science, with substantial contributions in control systems and economics.
The main fields of study associated with Calafiore include:
They work extensively within these subfields:
Their research covers several main topics, notably:
Calafiore has frequently published in venues such as:
Key recent papers authored by Calafiore include:
Other notable publications related to their research circle include works such as "Forecasting Network Traffic: A Survey and Tutorial With Open-Source Comparative Evaluation" (2023) published in IEEE Access, and "A model predictive control approach to optimally devise a two-dose vaccination rollout: A case study on COVID-19 in Italy" (2021) in the International Journal of Robust and Nonlinear Control.
Among frequent collaborators, Calafiore has worked with:
Giuseppe Carlo Calafiore was named an IEEE Fellow in 2018 for contributions to probabilistic methods for robust control design.
G.C. Calafiore;M.C. Campi
Giuseppe Carlo Calafiore;Marco C. Campi
Roberto Tempo;Giuseppe Calafiore;Fabrizio Dabbene
Roberto Tempo;Giuseppe Calafiore;Fabrizio Dabbene
G. C. Calafiore;L. El Ghaoui
Silvia Romano;Gianluigi Zito;Stefania Torino;Giuseppe Calafiore
Giuseppe Carlo Calafiore
L. El Ghaoui;G. Calafiore
Giuseppe C. Calafiore;L. Fagiano
Giuseppe C. Calafiore;Fabrizio Dabbene;Roberto Tempo
Giuseppe Carlo Calafiore;Carlo Novara;Corrado Possieri
Giuseppe C. Calafiore
Giuseppe Carlo Calafiore
G.C. Calafiore;F. Dabbene;R. Tempo
G. Calafiore;B.T. Polyak
Giuseppe Carlo Calafiore;Marina Indri;Basilio Bona
G. Calafiore
Giuseppe C. Calafiore;Carlo Novara;Corrado Possieri
Giuseppe Calafiore;Fabrizio Dabbene
M. C. Campi;G. Calafiore;S. Garatti
Giuseppe C. Calafiore;Fabrizio Dabbene;Roberto Tempo
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