Rosa Sicilia

Rosa Sicilia was born in 1993. In 2016 she graduated with honors and special mention in Biomedical Engineering at the Campus Bio-Medico University (UCBM), Rome. In 2020 you completed your PhD in Biomedical Engineering (XXXII cycle), curriculum ING-INF / 05 (Information processing systems), at the same University. After a year as a Post Doc, Rosa is currently a researcher on a temporary basis (RTDA) at UCBM, position co-financed by the Lazio Region to work on the project "We-ease-it: A smart and intelligent clinic for Hospital 4.0".

His main research interests are in the field of machine learning and multimodal data mining. In particular, he works on radiomics and radiopathomics, Hospital 4.0, eXplainable AI, automatic detection of rumors in social networks and multivariate analysis of time series. She has participated in international conferences and has been invited as a speaker at several international conferences, the most recent in 2020, "Exploring Media Ecosystems Conference" at the Massachusetts Institute of Technology (MIT) in Cambridge, MA, USA. She has also participated as a speaker at several international scientific conferences: in 2021 she won the Best Paper Award during the 34th IEEE International Symposium on Computer-Based Medical Systems.

As far as scientific production is concerned, according to the Scopus source, as of 02/12/2022 the number of citations is equal to 176 for 27 surveyed publications, with H-index equal to 7. He is reviewer, member of the program committee in congresses and magazines in the fields of his scientific interests. She was program committee chair of the IEEE Symposium on Computer Based-Medical System 2022 edition and is general chair of the IEEE Symposium on Computer Based-Medical System 2023 edition.

Qualifications

1) PhD in Biomedical Engineering, Curriculum in Computer Science (reference SSD ING INF/05).

Institution: "Campus Bio-Medico" University of ROME - Via Alvaro del Portillo, 21 – ROME

Date awarded: 18/03/2020

Thesis title: Micro-level Rumor Detection on Twitter

2) Master's Degree in Biomedical Engineering

Institution: "Campus Bio-Medico" University of ROME - Via Alvaro del Portillo, 21 – ROME

Date awarded: 21/10/2016

Thesis title: Health-related Rumor Detection in Social Networks: a Classification problem

Mark achieved: 110 cum laude

3) Three-year degree in Industrial Engineering

Institution: "Campus Bio-Medico" University of ROME - Via Alvaro del Portillo, 21 – ROME

Date awarded: 21/10/2014

Thesis title: Development of a biometric system for access control

Mark achieved: 110 cum laude

Experiences

1) Period: from 01/06/2021

Position: Type A fixed-term university researcher

Institution: "Campus Bio-Medico" University of ROME - Via Alvaro del Portillo, 21 – ROME

2) Period: 01/07/2020 - 31/05/2021

Position: Research Fellow

Institution: "Campus Bio-Medico" University of ROME - Via Alvaro del Portillo, 21 – ROME

3) Period: 01/01/2020 - 31/03/2020

Position: Occasional Collaborator

Institution: "Campus Bio-Medico" University of ROME - Via Alvaro del Portillo, 21 – ROME

4) Period: 01/11/2016 - 31/10/2019

Position: PhD student

Institution: "Campus Bio-Medico" University of ROME - Via Alvaro del Portillo, 21 – ROME

Caruso, CM, Guarrasi, V., Cordelli, E., Sicilia, R., Gentile, S., Messina, L., ... & Soda, P. (2022). A Multimodal Ensemble Driven by Multiobjective Optimization to Predict Overall Survival in Non-Small-Cell Lung Cancer. Journal of Imaging, 8(11), 298.

Guarrasi, V., D'Amico, NC, Sicilia, R., Cordelli, E., & Soda, P. (2022). Pareto optimization of deep networks for COVID-19 diagnosis from chest X-rays. Pattern Recognition, 121, 108242.

Torre, E., Francini, L., Cordelli, E., Sicilia, R., Manfrini, S., Piemonte, V., & Soda, P. (2022, July). Exploiting AI to make insulin pens smart: injection site recognition and lipodystrophy detection. In 2022 IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS) (pp. 211-216). IEEE.

Sicilia, R., Merone, M., Valenti, R., & Soda, P. (2021). Rule-based space characterization for rumor detection in health. Engineering Applications of Artificial Intelligence, 105, 104389.

Soda, P., D'Amico, NC, Tessadori, J., Valbusa, G., Guarrasi, V., Bortolotto, C., … & Papa, S. (2021). AIforCOVID: predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. an italian multicentre study. Medical image analysis, 74, 102216.

Tortora, M., Cordelli, E., Sicilia, R., Miele, M., Matteucci, P., Iannello, G., … & Soda, P. (2021). Deep Reinforcement Learning for Fractionated Radiotherapy in Non-Small Cell Lung Carcinoma. Artificial Intelligence in Medicine, 119, 102137.

Santucci, D., Faiella, E., Cordelli, E., Sicilia, R., de Felice, C., Zobel, BB, … & Soda, P. (2021). 3T MRI-Radiomic Approach to Predict for Lymph Node Status in Breast Cancer Patients. Cancers, 13(9), 2228.

Guarrasi, V., D'Amico, NC, Sicilia, R., Cordelli, E., & Soda, P. (2021, June). A Multi-Expert System to Detect COVID-19 Cases in X-ray Images. In 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS)(pp. 395-400). IEEE.

Liu, CZ, Sicilia, R., Tortora, M., Cordelli, E., Nibid, L., Sabarese, G., … & Soda, P. (2021, June). Exploring Deep Pathomics in Lung Cancer. In 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS)(pp. 407-412). IEEE.

Sicilia, R., Francini, L., & Soda, P. (2021, June). Representation and Knowledge Transfer for Health-related Rumor Detection. In 2021 IEEE 34th International Symposium on Computer-Based Medical Systems (CBMS)(pp. 591-596). IEEE. (Winner of the Best Paper Award)

Francini, L., Soda, P., & Sicilia, R. (2021, June). Describing rumours: a comparative evaluation of two handcrafted representations for rumor detection. In 2021 International Conference on Information and Digital Technologies (IDT) (pp. 311-318). IEEE.

Sicily R, Cordelli E, Soda P (2021). Categorizing the feature space for two-class imbalance learning. In: 25th International Conference on Pattern Recognition (ICPR), 2020.

Ramella, S., D'Angelillo, RM, Fiore, M., Greco, C., Ippolito, E., D'Amico, N., … & Soda, P. (2020). 1251P Exploring quantitative biomarkers from different tumor volumes for radiomics in lung cancer. Annals of Oncology, 31, S809.

Prata, F., Esperto, F., Civitella, A., Tuzzolo, P., Cordelli, E., Sicilia, R., … & Papalia, R. (2020). Radiomic analysis of T2 and ADC mpMRI images in the diagnosis of clinical significant prostate cancer: An early experience. European Urology Open Science, 20, S48-S49.

D'Amico NC, Sicilia R, Cordelli E, Tronchin L, Greco C, Fiore M, Carnevale A, Iannello G, Ramella S, Soda P (2020). Radiomics-Based Prediction of Overall Survival in Lung Cancer Using Different Volumes-Of-Interest. Applied sciences. 2020; 10(18):6425, doi: https://doi.org/10.3390/app10186425.

(*) Non-exhaustive list of most recent publications.