
PhD Student in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 35th cycle (2019-2022)
Department of Electronics and Telecommunications (DET)
Fellow
Department of Electronics and Telecommunications (DET)
Profile
PhD
Thesis title
Microwave Imaging and Sensing Algorithms for Brain Stroke Diagnosis
Research topic
Microwave imaging algorithms for biomedical applications
Tutors
Research presentation
Research interests
Biography
She started the Ph.D. under the supervision of Francesca Vipiana and Jorge Alberto Tobon Vasquez, in the same project of Master’s thesis, with the aim of developing a device for monitoring patient with a stroke through microwave imaging technology.
Publications
Latest publications View all publications in Porto@Iris
- Mariano, Valeria; Banting, Lucas; Tobon Vasquez, Jorge A.; Jeffrey, Ian; Lovetri, Joe; ... (2023)
Brain Stroke Microwave Imaging via an Efficient Implementation of the CSI-FEM Algorithm. In: 2023 17th European Conference on Antennas and Propagation (EuCAP), Florence, Italy, 26-31 March 2023. ISBN: 978-1-6654-7541-9
Contributo in Atti di Convegno (Proceeding) - Mariano, Valeria; Tobon Vasquez, Jorge A.; Vipiana, Francesca (2023)
A Novel Discretization Procedure in the CSI-FEM Algorithm for Brain Stroke Microwave Imaging. In: SENSORS, vol. 23. ISSN 1424-8220
Contributo su Rivista - Mariano, Valeria; Tobon Vasquez, Jorge A.; Casu, Mario R.; Vipiana, Francesca (2023)
Brain Stroke Classification via Machine Learning Algorithms Trained with a Linearized Scattering Operator. In: DIAGNOSTICS, vol. 13. ISSN 2075-4418
Contributo su Rivista - Mariano, Valeria; Tobon Vasquez, Jorge A.; Casu, Mario R.; Vipiana, Francesca (2022)
Efficient Data Generation for Stroke Classification via Multilayer Perceptron. In: 2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (AP-S/URSI), Denver, Colorado, 10-15 July 2022, pp. 890-891
Contributo in Atti di Convegno (Proceeding) - Mariano, Valeria; Casu, Mario R.; Vipiana, Francesca (2022)
Simulation-based Machine Learning Training for Brain Anomalies Localization at Microwaves. In: 2022 16th European Conference on Antennas and Propagation (EuCAP), Madrid, Spain, 27 March-1 April 2022. ISBN: 978-88-31299-04-6
Contributo in Atti di Convegno (Proceeding)