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FEDERICO MORO

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Position

Professore Associato

Address

VIA G. GRADENIGO, 6/A - PADOVA

Telephone

0498277550

Federico Moro is an Associate Professor of Electrical Engineering at the Department of Industrial Engineering of the University of Padova. He received a Laurea degree in Electrical Engineering (2003), a Ph.D. in Bioelectromagnetism and Electromagnetic Compatibility (2007), and a BSc in Mathematics (2012) at the University of Padova. He is qualified as an Industrial Engineer since 2003. He obtained the National Scientific Qualification as Full Professor (09/E1-Electrotechnics) in 2021. He was appointed Senior Member by the Institute of Electrical and Electronics Engineers (IEEE) in 2022. He was a Visiting Researcher at the Physics Department at Swansea University, Wales (UK), in 2005, and a Visiting Professor at the G2ELab, Grenoble, in 2020. He was a Research Fellow at the Department of Electrical Engineering, University of Padova, from 2007 to 2010, and an Assistant Professor of Electrical Engineering at the Department of Industrial Engineering of the same university from 2010 to 2020. Since 2005 he has been teaching in courses of Electrical Engineering in several degree programs of Engineering. Since 2021 he has been the representative of the Department of Industrial Engineering in the Orientation and Tutoring Commission of the School of Engineering and, since 2022, he has been the representative of the same in the University commission.

His research interests include multi-physics modeling, computational electromagnetism, electromagnetic compatibility, and energy storage. He is author or co-author of over 100 papers in international journals and conference proceedings on these topics.

Notices

Office hours

  • at Dipartimento di Ingegneria Industriale, via Gradenigo 6/A (2° piano, stanza n°25 lato SUD)
    Per ricevimento contattare il docente via e-mail (federico.moro@unipd.it)

Teachings

Publications

Last ten publications on international journals:

1) F. Moro, J. Smajic, L. Codecasa, A Novel h–φ Approach for Solving Eddy–Current Problems in Multiply Connected Regions, IEEE Access, vol. 8, pp. 170659-170671, 2020 (DOI: 10.1109/ACCESS.2020.3025291).
2) F. Moro, L. Codecasa, Coupling the Cell Method with the Boundary Element Method in Static and Quasi–Static Electromagnetic Problems, Mathematics, 9(12), art. no. 1426, pp.1-30, 2021 (DOI: 10.3390/math9121426).
3) A. Doria, E. Marconi, F. Moro, Energy Harvesting from Bicycle Vibrations, IEEE Transactions on Industry Applications, vol. 57, no. 6, pp. 6417-6426, Nov.-Dec. 2021 (DOI: 10.1109/TIA.2021.3116221).
4) F. Moro, A. Napov, L. Codecasa, A Hybrid a–φ Cell Method for Solving Eddy–Current Problems in 3–D Multiply–Connected Domains, IEEE Access, vol. 9, pp. 158247-158260, 2021 (DOI: 10.1109/ACCESS.2021.3130676).
5) D. Casati, L. Codecasa, R. Hiptmair, F. Moro, Trefftz co-chain calculus, ZEITSCHRIFT FUR ANGEWANDTE MATHEMATIK UND PHYSIK, vol. 73, p. 1-22, 2022 (DOI: 10.1007/s00033-021-01671-y).
6) D. Tommasino, F. Moro, B. Bernay, T.D.L. Woodyear, E.P. Corona, A. Doria, Vibration Energy Harvesting by Means of Piezoelectric Patches: Application to Aircrafts, Sensors, vol. 22, 363, 2022 (DOI: 10.3390/s22010363).
7) D. Desideri, E. Bernardo, A.J. Corso, F. Moro, M.G. Pelizzo, Electrical Properties of Aluminum Nitride Thick Films Magnetron Sputtered on Aluminum Substrates, Materials, vol. 15, 2090, 2022 (DOI: 10.3390/ma15062090).
8) F. Moro, A. Napov, M. Pellikka, J. Smajic, L. Codecasa, Fast Solution of 3-D Eddy-Current Problems in Multiply Connected Domains by a, v-φ and t-φ Formulations With Multigrid-Based Algorithm for Cohomology Generation, IEEE Access, vol. 10, pp. 112416-112432, 2022 (DOI: 10.1109/ACCESS.2022.3216876).
9) D. Tommasino, F. Moro, E. Zumalde, J. Kunzmann, A. Doria, An Analytical–Numerical Method for Simulating the Performance of Piezoelectric Harvesters Mounted on Wing Slats, Actuators, 12 (1), art. no. 29, 2023 (DOI: 10.3390/act12010029).
10) F. Moro, L. Codecasa, A Hybrid CM-BEM Formulation for Solving Large-Scale 3D Eddy-Current Problems Based on ℋ-Matrices and Randomized Singular Value Decomposition for BEM Matrix Compression, Mathematics, 11 (6), art. no. 1324, 2023 (DOI: 10.3390/math11061324).

Research Area

- Analytical/numerical methods for electromagnetic fields and circuits
- Numerical methods for multiscale and multiphysics problems
- Energy harvesting

Thesis proposals

Electromagnetic modeling
- Applications of artificial intelligence in computational electromagnetism: Physics-informed neural networks (PINNs)
- Meshfree methods in computational electromagnetism
- Model Order Reduction (MOR) with CAUER ladder network (application to electric motors)
- Topology optimization of electromagnetic devices
- 2D FEM-BEM for magnetostatics/magnetodynamics
- 2D Mortar Element Method for moving structures (sliding meshes)
- Compression matrix techniques for fast BEM
- Sliced FEM for analyzing pseudo 2D eddy current problems
- Method of Fundamental Solutions (MFS)
- Fast computation of Biot-Savart’s integral with FFT
- 2D BEM symmetric formulation with Calderon projectors
- Applications of Perydinamics in computational electromagnetism
- High-order basis functions for 2D Cell Method
- Polygonal element method
- Mesh-free methods

Multiphysics modeling
- Wideband energy harvesters
- Hybrid energy harvesters
- Numerical modeling of piezoelectric/magnetostrictive energy harvesters
- Homogenization techniques for modeling smart materials
- Model order reduction for micro-electro-mechanical devices (MEMS)
- Numerical Techniques for fast frequency-sweep analysis of piezo-MEMS
- 3D FEM with hexahedral elements for simulating piezo-MEMS