Fast Algorithms for the Design of Complex-Shape Devices in Electromechanics. - Eugenio Costamagna; Paolo Di Barba; Maria Evelina Mognaschi; Antonio Savini (Computational Methods for the Innovative Design of Electrical Devices, 2011)

Improvements in the ModSCA simulator: A tool helping to analyze energy efficiency of a compressed air system. - Norma Anglani; Maria Evelina Mognaschi; Gianluca Sala (RTSI, 2015)

Magnetic field analysis for the optimization of a GMR isolator for data transmission in power applications. - Alessandro Liberale; Alessandro Cabrini; Enrico Dallago; Maria Evelina Mognaschi (IECON, 2016)

Electrical resistance in inhomogeneous samples during electroporation. - Luigi G. Campana; Paolo Di Barba; Maria Evelina Mognaschi; Marco Bullo; Fabrizio Dughiero; Michele Forzan; Paolo Sgarbossa; Eugenia Spessot; Elisabetta Sieni (SMACD, 2017)

Multi-Objective Optimization of a Solenoid for MFH: A Comparison of Methods. - Paolo Di Barba; Maria Evelina Mognaschi; Fabrizio Dughiero; Michele Forzan; Elisabetta Sieni (IECON, 2018)

The µ.l-BiMO Method for Needle Pair Optimization in ECT. - Maria Evelina Mognaschi; R. Sundararajan; Luigi G. Campana; Michele Forzan; Paolo Sgarbossa; Elisabetta Sieni (IECON, 2018)

The Benchmark TEAM Problem for Multi-Objective Optimization Solved with CFSO. - Paolo Di Barba; Maria Evelina Mognaschi; Gabriele Maria Lozito; Alessandro Salvini; Fabrizio Dughiero; Elisabetta Sieni (RTSI, 2018)

Neural Networks for Maximum Power Point Tracking Application to Silicon and CIGS Photovoltaic Modules. - Manuele Bertoluzzo; Elisabetta Sieni; M. Zordan; Maria Evelina Mognaschi; Gabriele Maria Lozito; Francesco Riganti Fulginei (RTSI, 2018)

Optimal Design of Electromagnetically Actuated MEMS Cantilevers. - Paolo Di Barba; Teodor P. Gotszalk; Wojciech Majstrzyk; Maria Evelina Mognaschi; Karolina Orlowska; Slawomir Wiak; Andrzej Sierakowski (Sensors, 2018)

Stress relieving of tube-ends in induction heating: comparison of optimization problems. - Paolo Di Barba; Maria Evelina Mognaschi; Michele Forzan; S. Lupi; Elisabetta Sieni (IECON, 2019)

A Parallel Surrogate Model Assisted Evolutionary Algorithm for Electromagnetic Design Optimization. - Mobayode O. Akinsolu; Bo Liu 003; Vic Grout; Pavlos I. Lazaridis; Maria Evelina Mognaschi; Paolo Di Barba (IEEE Trans. Emerg. Top. Comput. Intell., 2019)

ViMeLa. - Toomas Tikk; Rain Eric Haamer; Dorota Kaminska; Anna Firych-Nowacka; Slawomir Wiak; Najmeh Rezaei; Marcin Lefik; Grzegorz Zwolinski; Tomasz Sapinski; Goga Cvetkovski; Lidija Petkovska; Paolo Di Barba; et al. (New Perspectives on Virtual and Augmented Reality, 2020)

Efficient Design Optimization of High-Performance MEMS Based on a Surrogate-Assisted Self-Adaptive Differential Evolution. - Mobayode O. Akinsolu; Bo Liu 003; Pavlos I. Lazaridis; Keyur K. Mistry; Maria Evelina Mognaschi; Paolo Di Barba; Zaharias D. Zaharis (IEEE Access, 2020)

Temperature and Torque Measurements of Switched Reluctance Actuator with Composite or Laminated Magnetic Cores. - Marek Przybylski; Barbara Slusarek; Paolo Di Barba; Maria Evelina Mognaschi; Slawomir Wiak (Sensors, 2020)

Virtual Reality-Based Training: Case Study in Mechatronics. - Dorota Kaminska; Grzegorz Zwolinski; Slawomir Wiak; Lidija Petkovska; Goga Cvetkovski; Paolo Di Barba; Maria Evelina Mognaschi; Rain Eric Haamer; Gholamreza Anbarjafari (Technol. Knowl. Learn., 2021)

Optimization of Compensation Network for a Wireless Power Transfer System in Dynamic Conditions: A Circuit Analysis Approach. - Manuele Bertoluzzo; Paolo Di Barba; Michele Forzan; Maria Evelina Mognaschi; Elisabetta Sieni (Algorithms, 2022)

Learning-Based Approaches to Current Identification from Magnetic Sensors. - Sami Barmada; Paolo Di Barba; Alessandro Formisano; Maria Evelina Mognaschi; Mauro Tucci (Sensors, 2023)

Electromagnetic Wave Absorption in the Human Head: A Virtual Sensor Based on a Deep-Learning Model. - Paolo Di Barba; Lukasz Januszkiewicz; Jaroslaw Kawecki; Maria Evelina Mognaschi (Sensors, 2023)

A Novel Hybrid Boundary Element - Physics Informed Neural Network Method for Numerical Solutions in Electromagnetics. - Sami Barmada; Shayan Dodge; Mauro Tucci; Alessandro Formisano; Paolo Di Barba; Maria Evelina Mognaschi (IEEE Access, 2024)

Spectrogram Inversion for Reconstruction of Electric Currents at Industrial Frequencies: A Deep Learning Approach. - Abderraouf Lalla; Andrea Albini; Paolo Di Barba; Maria Evelina Mognaschi (Sensors, 2024)