Multiobjective Design Optimization of Real-Life Devices in Electrical Engineering: A Cost-Effective Evolutionary Approach. - Paolo Di Barba; Marco Farina; Antonio Savini (EMO, 2001)

Multiobjective Design Optimization of Electrostatic Rotary Microactuators Using Evolutionary Algorithms. - Paolo Di Barba; Slawomir Wiak (ICAISC, 2006)

Multiobjective Shape Design in Electricity and Magnetism - Paolo Di Barba (Springer, 2010)

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)

Multi-objective design of a magnetic fluid hyperthermia device. - Roberta Bertani; Forzan Forzan; Paolo Sgarbossa; Elisabetta Sieni; Paolo Di Barba; Federico Spizzo; L. Del Bianco (IECON, 2015)

Optimal design of an inductor for MFH: From models to laboratory-scale prototype. - Marco Bullo; Fabrizio Dughiero; Michele Forzan; Elisabetta Sieni; Paolo Di Barba (IECON, 2016)

Field-Based Optimal Placement of Antennas for Body-Worn Wireless Sensors. - Lukasz Januszkiewicz; Paolo Di Barba; Slawomir Hausman (Sensors, 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 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)

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)

Multi-Objective Optimization of a Wireless Body Area Network for Varying Body Positions. - Lukasz Januszkiewicz; Paolo Di Barba; Slawomir Hausman (Sensors, 2018)

Many-Objective Automated Optimization of a Four-Band Antenna for Multiband Wireless Sensor Networks. - Lukasz Januszkiewicz; Paolo Di Barba; Lukasz Jopek; Slawomir Hausman (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)

Optimal Design of Switchable Wearable Antenna Array for Wireless Sensor Networks. - Lukasz Januszkiewicz; Paolo Di Barba; Slawomir Hausman (Sensors, 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)

Curvature-dependent electrostatic field as a principle for modelling membrane MEMS device with fringing field. - Paolo Di Barba; Luisa Fattorusso; Mario Versaci (Comput. Appl. Math., 2021)

MEMS with fringing field: curvature-dependent electrostatic field and numerical techniques for recovering the membrane profile. - Mario Versaci; Paolo Di Barba; Francesco Carlo Morabito (Comput. Appl. Math., 2021)

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)

Energy-based PINNs for solving coupled field problems: concepts and application to the optimal design of an induction heater. - Marco Baldan; Paolo Di Barba (CoRR, 2024)

Analytic Continuation, Phase Unwrapping, and Retrieval of the Refractive Index of Metamaterials from S-Parameters. - Giovanni Angiulli; Mario Versaci; Salvatore Calcagno 001; Paolo Di Barba (Sensors, 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)