November 1999 to date: Researcher (1999 -2004), Associate Prof. (2005-to date) at “Mediterranea” University if Reggio Calabria.
1994: Master degree in Civil Engineering, “Mediterranea” University if Reggio Calabria.
2013: Degree in Mathematics, University of Messina.
2018: Master degree in Mathematics, University of Messina.
1999: PhD in Electronic Engineering.
LANGUAGES: English (B2) French (C1).

Research Interest: MEMS/NEMS, Magnetorheological Fluids, Image and Signal Processing

List of Publications: (the most recents):
1.    Mario Versaci, Antonino Cutrupi, Annunziata Palumbo (2021). A Magneto-Thermo-Static Study of a Magneto-Rheological Fluid Damper: A Finite Element Analysis. IEEE TRANSACTIONS ON MAGNETICS, vol. 57, ISSN: 0018-9464, doi: 10.1109/TMAG.2020.3032892
2.    Giovanni Angiulli, Mario Versaci, Salvatore Calcagno (2020). Computation of the Cutoff Wavenumbers of Metallic Waveguides with Symmetries by Using a Nonlinear Eigenproblem Formulation: A Group Theoretical Approach. MATHEMATICS, vol. 8, p. 1-20, ISSN: 2227-7390, doi: 10.3390/math8040489
3.    Giovanni Angiulli, Mario Versaci, Salvatore Calcagno, Paolo Di Barba (2020). Quick Retrieval of Effective Electromagnetic Metamaterial Parameters by Using a Multi-fidelity Surrogate Modelling Approach. THE EUROPEAN PHYSICAL JOURNAL. APPLIED PHYSICS, ISSN: 1286-0042, doi: 10.1051/epjap/2020200014
4.    Giovanni Angiulli, Salvatore Calcagno, Domenico De Carlo, Filippo Laganà, Mario Versaci (2020). Second-Order Parabolic Equation to Model, Analyze, and Forecast Thermal-Stress Distribution in Aircraft Plate Attack Wing–Fuselage. MATHEMATICS, vol. 8, p. 1-21, ISSN: 2227-7390, doi: 10.3390/math8010006
5.    Mario Versaci, Alessandra Jannelli, Giovanni Angiulli (2020). Electrostatic Micro-Electro-Mechanical-Systems (MEMS) Devices: A Comparison Among Numerical Techniques for Recovering the Membrane Profile. IEEE ACCESS, vol. 8, p. 125874-125886, ISSN: 2169-3536, doi: 10.1109/ACCESS.2020.3008332
6.    Mario Versaci, Giovanni Angiulli (2020). Electrostatic Capacity of a Metallic Cylinder: Effect of the Moment Method Discretization Process on the Performances of the Krylov Subspace Techniques. MATHEMATICS, vol. 8, p. 1-37, ISSN: 2227-7390, doi: 10.3390/math8091431 - Articolo in rivista
7.    Mario Versaci, Giovanni Angiulli, Alessandra Jannelli (2020). Recovering of the Membrane Profile of an Electrostatic Circular MEMS by a Three-Stage Lobatto Procedure: A Convergence Analysis in the Absence of
Ghost Solutions. MATHEMATICS, vol. 8, p. 1-19, ISSN: 2227-7390, doi: 10.3390/math8040487
8.    Mario Versaci, Giovanni Angiulli, Fabio La Foresta (2020). A Modified Heart Dipole Model for the Generation of Pathological ECG Signals. COMPUTATION, vol. 8, ISSN: 2079-3197, doi: 10.3390/computation8040092
9.    Mario Versaci, Paolo Di Barba, Francesco Carlo Morabito (2020). Curvature-Dependent Electrostatic Field as a Principle for Modelling Membrane-Based MEMS Devices. A Review. MEMBRANES, vol. 10, ISSN: 2077-0375
10.    Paolo Di Barba, Luisa Fattorusso, Mario Versaci (2020). Curvature Dependent Electrostatic Field in the Deformable MEMS Device: Stability and Optimal Control. COMMUNICATIONS IN APPLIED AND INDUSTRIAL MATHEMATICS, vol. 11, p. 35-54, ISSN: 2038-0909, doi: 10.2478/caim-2020-003
11.    VERSACI, Mario, Palumbo A (2020). Magnetorheological Fluids: Qualitative comparison between a mixture model in the Extended Irreversible Thermodynamics framework and an Herschel–Bulkley experimental elastoviscoplastic model. INTERNATIONAL JOURNAL OF NON-LINEAR MECHANICS, vol. 118, p. 1-13, ISSN: 0020-7462, doi: 10.1016/j.ijnonlinmec.2019.103288
12.    Versaci Mario, Angiulli Giovanni, Di Barba Paolo, Morabito Francesco Carlo (2020). Joint use of eddy current imaging and fuzzy similarities to assess the integrity of steel plates. OPEN PHYSICS, vol. 18, p. 230-240, ISSN: 2391-5471, doi: 10.1515/phys-2020-0159
13.    Paolo Di Barba, Luisa Fattorusso, Mario Versaci (2019). A 2D Non-Linear Second-Order Differential Model for Electrostatic Circular Membrane MEMS Devices: A Result of Existence and Uniqueness. MATHEMATICS, vol. 7, p. 1-18, ISSN: 2227-7390, doi: 10.3390/math7121193
14.    VERSACI M, Angiulli G, Fattorusso L, Jannelli A (2019). On the Uniqueness of the Solution for a Semi-Linear Elliptic Boundary Value Problem of the Membrane MEMS Device for Reconstructing the Membrane Profile in Absence of Ghost Solutions. INTERNATIONAL JOURNAL OF NON-LINEAR MECHANICS, vol. 109, p. 24-31, ISSN: 0020-7462, doi: 10.1016/j.ijnonlinmec.2018.10.014
15.    Angiulli G, Jannelli A, Morabito Francesco Carlo, Versaci M (2018). Reconstructing the membrane detection of a 1D electrostatic-driven MEMS device by the shooting method: convergence analysis and ghost solutions identification. COMPUTATIONAL AND APPLIED MATHEMATICS, vol. 34, p. 133-146, ISSN: 0101-8205, doi: 10.1007/s40314-017-0564-4
16.    Versaci M., La Foresta F., Morabito F. C., Angiulli G. (2018). A fuzzy divergence approach for solving electrostatic identification problems for NDT applications. INTERNATIONAL JOURNAL OF APPLIED ELECTROMAGNETICS AND MECHANICS, vol. 57, p. 133-146, ISSN: 1383-5416, doi: 10.3233/JAE-170043
17.    Angiulli G, De Carlo D, Sgrò A, VERSACI M, Morabito Francesco Carlo (2017). Accurate modelling of lossy SIW resonators using a neural network residual kriging approach. IEICE ELECTRONICS EXPRESS, vol. 14, p. 1-6, ISSN: 1349-2543, doi: 10.1587/elex.14.20170073 -
18.    Di Barba P, VERSACI, Mario, FATTORUSSO, Luisa Angela Maria (2017). Electrostatic Field in Terms of Geometric Curvature in Membrane MEMS Devices. COMMUNICATIONS IN APPLIED AND INDUSTRIAL MATHEMATICS, vol. 8, p. 165-184, ISSN: 2038-0909, doi: 10.1515/caim-2017-0009 -
19.    Versaci M, Morabito Francesco Carlo, Angiulli G (2017). Adaptive Image Contrast Enhancement by Computing Distances into a 4-Dimensional Fuzzy Unit Hypercube. IEEE ACCESS, vol. 5, p. 26922-26931, ISSN: 2169-3536, doi: 10.1109/ACCESS.2017.2776349
20.    MORABITO, Francesco Carlo, Campolo M, Mammone N, Franceschetti S, Tagliavini F, Gambardella A, Cianci V, Ferlazzo E, Aguglia U, VERSACI, Mario, Sofia V, Fatuzzo D, Labate A, Mumoli L, Tripodi GG, Gasparini S, Sueri C (2016). Deep Learning Representation from Electroencephalography of Early-Stage Creutzfeldt-Jakob Disease and Features for Differentiation from Rapidly Progressive Dementia. INTERNATIONAL JOURNAL OF NEURAL SYSTEMS, vol. 26, p. 1-15, ISSN: 0129-0657, doi: 10.1142/S0129065716500398