Prof. Dr. Sandra Costanzo
University of Calabria, Rende, Italy
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Academic Career Length
25Years (2002-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
View All Publications22 April 2020 in IEEE Access
Journal Article
Sandra CostanzoFVFrancesca Venneri
Francesca VenneriABAntonio Borgia
Antonio BorgiaGMGiuseppe Di Massa
Giuseppe Di MassaA dual-band dual-linear polarization reflectarray configuration is developed for future 5G cellular applications. A single layer unit cell including two pairs of miniaturized fractal patches is designed to operate at two distinct frequencies within the Ka-band (27/32 GHz), in a dual-polarization mode. An in-depth analysis of the unit cell behavior is carried out, to demonstrate the total independence between the designed frequency bands and polarizations. The proposed configuration offers a very simply and thin structure, small unit cell sizes, and low losses, while leading to an independent optimization of the phase at each frequency and polarization. A dual-band/dual-polarized reflectarray prototype is designed and numerically tested, thus demonstrating the unit cell flexibility to offer arbitrary beam directions/shapes at each frequency, for both polarizations.
Journal Article
Sandra CostanzoFVFrancesca Venneri
Francesca VenneriA novel fractal-based metamaterial unit cell, useful for ambient power harvesting, is proposed to operate within the 2.45 GHz Wi-Fi band. The simulated fractal cell offers very high absorption coefficients, a wide-angle and polarization-insensitive behavior, and very small size. A 9 × 9 fractal-based metamaterial harvester is designed and simulated, by demonstrating a very high harvesting efficiency equal to 96.5% at 2.45 GHz. The proposed metamaterial configuration could be very appealing for the implementation of high efficiencies and compact harvesting systems for wireless sensor network applications.
Journal Article
Sandra CostanzoVCVincenzo Cioffi
Vincenzo CioffiAQADIL MASOUD QURESHI
ADIL MASOUD QURESHIABAntonio Borgia
Antonio BorgiaA simple and low-cost procedure for gel-like time-durable biological phantoms is presented in this work. Easily accessible materials are adopted, which are able to provide a flexible and controllable method to rapidly realize different kind of tissues. The proposed technique is applied to fabricate various tissue-mimicking phantoms, namely skin, muscle, blood and fat. Their effectiveness is first tested by performing dielectric characterization on a wide frequency range, from 500 MHz up to 5 GHz, and validating the measured dielectric parameters (dielectric constant and conductivity) by comparison with reference models in the literature. Then, a multi-layer phantom simulating the human arm is realized, and a wearable body sensor is adopted to prove the perfect agreement of the biometric response achieved in the presence of the fabricated phantom and that provided by a real human arm.
15 December 2017 in IEEE Antennas and Wireless Propagation Letters
Journal Article
FVFrancesca Venneri
Francesca VenneriSandra CostanzoGMGiuseppe Di Massa
Giuseppe Di MassaA Minkowski fractal geometry is proposed in this work as miniaturized absorber cell suitable for multipath phenomena mitigation within the European RFID UHF-band. The proposed structure is analyzed through the combined use of an equivalent transmission line model and MoM-based full-wave simulations. Very high miniaturization capabilities (about 50% with respect to standard configurations) are demonstrated for a 868MHz absorber unit cell, characterized by an absorptivity more than 99%, a good angular stability and a very thin substrate ($\lt \lambda_{0}/100$). The proposed configuration is appealing for designing compact absorbers useful for multipath reduction in wireless systems operating on restricted indoor environments.
8 August 2017 in IEEE Access
Journal Article
OBOvidio Mario Bucci
Ovidio Mario Bucci
GBGennaro Bellizzi
Gennaro BellizziABAntonio Borgia
Antonio Borgia
Sandra CostanzoLCLorenzo Crocco
Lorenzo CroccoRSRosa Scapaticci
Rosa Scapaticci
+1
Magnetic nanoparticles (MNP) enhanced microwave imaging could provide an effective approach for an early stage diagnosis of breast cancer, if encouraging results coming from accurate and realistic numerical studies are confirmed by an experimental proof of concept framework. To this end, an ad hoc laboratory setup has been designed and built up to verify the possibility of detecting the low signal scattered by MNP when embedded into a simplified but realistic breast phantom. This paper describes the developed measurement setup and the results coming from a first run of experiments, which confirm the possibility to detecting realistic amounts of accumulated nanoparticles. Moreover, the experimental results analysis allows addressing the future developments required to determine the ultimate detection limits of the technique, giving relevant information to plan the preclinical assessment.
30 June 2023 in IEEE Access
Journal Article
Sandra CostanzoAAAlexandra Macarena Flores Arroba
Alexandra Macarena Flores ArrobaGBGiovanni Buonanno
Giovanni BuonannoThe application and comparison of U-Net convolutional neural network architectures is proposed in this work to guarantee a fast and accurate convergence of inverse scattering problems solved by Born iterative method, even in the presence of strong scatterers. Starting from a preliminary configuration proposed by the authors in some recent papers, two variants are introduced and discussed to significantly reduce the computational cost, while guaranteeing convergence with very high accuracy in the dielectric profiles reconstruction when considering strong scattereres, such as tumors, thus working as a regularization process to mitigate the induced non-linearity. As a further enhancement, a novel approach is introduced which integrates U-Net and Resnet models to realize a segmentation process, thus leading to the effective feature extraction and the accurate identification of anomalies within healthy tissue. Numerical assessments on a variety of breast models including abnormal lesions are discussed to successfully validate the proposed machine learning approach, through the adoption of properly defined evaluation metrics.
About Me
Sandra Costanzo received a Laurea degree (summa cum laude) in Computer Engineering from the University of Calabria in 1996 and a Ph.D. in electronic engineering from the University of Reggio, Calabria, in 2000. Currently, she is a Full Professor in Electromagnetic Fields at the University of Calabria, Italy. Since 1996, she has been involved in many research projects funded by the ESA (European Space Agency), ASI (Agenzia Spaziale Italiana), MIUR (Ministero dell’Istruzione, dell’Università e della Ricerca), and several private companies. She is a senior member of the IEEE and Vice-Chair of the MTT-28 Biological Effects and Medical Application Committee. Her research interests are focused on near-field and far-field techniques, antenna measurement techniques, antenna analysis and synthesis, numerical methods in electromagnetics, millimeter-wave antennas, reflectarrays, microwave sensors for biomedical applications, microwave and millimeter waves in biomedical applications and healthcare, microwave imaging, electromagnetic material characterization, innovative antennas, and technologies for radar applications. She has been the editor of 2 books and lead editor of more than 12 Special Issues in international journals. She has co-authored more than 230 contributions to international journals, books, and conferences.
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