An adaptive maximum power point tracker for maximising solar cell efficiency in wireless sensor nodes. - Cesare Alippi; Cristian Galperti (ISCAS, 2006)

Adaptive Sampling for Energy Conservation in Wireless Sensor Networks for Snow Monitoring Applications. - Cesare Alippi; Giuseppe Anastasi; Cristian Galperti; Francesca Mancini; Manuel Roveri (MASS, 2007)

Lossless Compression Techniques in Wireless Sensor Networks: Monitoring Microacoustic Emissions. - Cesare Alippi; Romolo Camplani; Cristian Galperti (ROSE, 2007)

An Adaptive System for Optimal Solar Energy Harvesting in Wireless Sensor Network Nodes. - Cesare Alippi; Cristian Galperti (IEEE Trans. Circuits Syst. I Regul. Pap., 2008)

An hybrid wireless-wired monitoring system for real-time rock collapse forecasting. - Cesare Alippi; Romolo Camplani; Cristian Galperti; Antonio Marullo; Manuel Roveri (MASS, 2010)

A Real-Time system for data acquisition, elaboration and actuator's control for magnetohydrodynamics instabilities in the FTU tokamak. - Carlo Sozzi; E. Alessi; Luca Boncagni; Cristian Galperti; C. Marchetto; S. Nowak; W. Bin; A. Botrugno; Alessandro Bruschi; S. Cirant; Gabriele D'Antona; Ocleto D'Arcangelo; et al. (CDC, 2012)

A high-frequency sampling monitoring system for environmental and structural applications. - Cesare Alippi; Romolo Camplani; Cristian Galperti; Antonio Marullo; Manuel Roveri (ACM Trans. Sens. Networks, 2013)

TORBEAM 2.0, a paraxial beam tracing code for electron-cyclotron beams in fusion plasmas for extended physics applications. - Emanuele Poli; A. Bock; M. Lochbrunner; Omar Maj; M. Reich; A. Snicker; Andreas Stegmeir; Francesco A. Volpe; Nicola Bertelli; Roberto Bilato; G. D. Conway; Daniela Farina; et al. (Comput. Phys. Commun., 2018)

Integrated real-time supervisory management for off-normal-event handling and feedback control of tokamak plasmas. - Trang Vu; Federico Felici; Cristian Galperti; Marc Maraschek; Alessandro Pau; Natale Rispoli; Olivier Sauter; Bernhard Sieglin (CoRR, 2020)

Magnetic control of tokamak plasmas through deep reinforcement learning. - Jonas Degrave; Federico Felici; Jonas Buchli; Michael Neunert; Brendan D. Tracey; Francesco Carpanese; Timo Ewalds; Roland Hafner; Abbas Abdolmaleki; Diego de Las Casas; Craig Donner; Leslie Fritz; et al. (Nat., 2022)

Towards practical reinforcement learning for tokamak magnetic control. - Brendan D. Tracey; Andrea Michi; Yuri Chervonyi; Ian Davies; Cosmin Paduraru; Nevena Lazic; Federico Felici; Timo Ewalds; Craig Donner; Cristian Galperti; Jonas Buchli; Michael Neunert; et al. (CoRR, 2023)

Learning Plasma Dynamics and Robust Rampdown Trajectories with Predict-First Experiments at TCV. - Allen M. Wang; Alessandro Pau; Cristina Rea; Oswin So; Charles Dawson 001; Olivier Sauter; Mark D. Boyer; Anna Vu; Cristian Galperti; Chuchu Fan; Antoine Merle; Yoeri Poels; et al. (CoRR, 2025)

First experimental demonstration of plasma shape control in a tokamak through Model Predictive Control. - Adriano Mele; Maria A. Topalova; Cristian Galperti; Stefano Coda; TCV Team; Eurofusion Tokamak Exploitation Team (CoRR, 2025)