Eleonora Poeta

Ph.D. candidate in Ingegneria Informatica E Dei Sistemi , 39^th cycle (2023-2026)
Department of Control and Computer Engineering (DAUIN)

Adjunct lecturer/Adjunct instructor
Department of Control and Computer Engineering (DAUIN)

eleonora.poeta@polito.it

Profile

PhD

Research topic

Safe and Trustworthy AI

Tutors

Research presentation

Poster

Keywords

Data science, Computer vision and AI

Biography

Eleonora is a third-year Ph.D. student in Safe and Trustworthy Artificial Intelligence at Politecnico di Torino, Turin, Italy. Her research focuses on explainable AI, fairness, and robustness, with a particular emphasis on Trustworthy medical AI.
Her work aims to bridge the gap between AI performance and real-world reliability, ensuring that AI models are not only accurate but also transparent, fair, and safe for humans.
Eleonora’s research has been published at international conferences and in journals in the fields of Artificial Intelligence and Medical Imaging. In 2025, she received the Best Paper Award at the Mama-Mia MICCAI Challenge.

LinkedIn Profile: www.linkedin.com/in/eleonora-poeta

Awards and Honors

Best Paper Award MAMA-MIA Challenge at MICCAI 2025 (2025)

Teaching

Teachings

Master of Science

Explainable and trustworthy AI. A.A. 2025/26, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
Business intelligence per big data. A.A. 2025/26, INGEGNERIA MATEMATICA. Collaboratore del corso
Explainable and trustworthy AI. A.A. 2024/25, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
Business intelligence per big data. A.A. 2024/25, INGEGNERIA GESTIONALE. Collaboratore del corso
Data science lab: process and methods. A.A. 2024/25, DATA SCIENCE AND ENGINEERING. Collaboratore del corso
Explainable and trustworthy AI. A.A. 2023/24, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
Business intelligence per big data. A.A. 2023/24, INGEGNERIA GESTIONALE. Collaboratore del corso

MostraNascondi A.A. passati

Research

Research Areas/Fields/Groups

DBDM - Database and Data Mining Group (DAUIN)

Publications

Latest publications View all publications in Porto@Iris

Rege Cambrin, Daniele; Poeta, Eleonora; Pastor, Eliana; Cerquitelli, Tania; Baralis, ... (In stampa)
HydroChronos: Forecasting Long-Term Surface Water Dynamics from Multi-Modal Data. In: ACM TRANSACTIONS ON SPATIAL ALGORITHMS AND SYSTEMS. ISSN 2374-0353
Contributo su Rivista
Poeta, Eleonora; Pastor, Eliana; Cerquitelli, Tania; Baralis, Elena (In stampa)
TRACE: Transparent Representation Auditing via Concept Extraction. In: ECML PKDD, Naples (ITA), September 7-11, 2026
Contributo in Atti di Convegno (Proceeding)
Garrucho, Lidia; Joshi, Smriti; Kushibar, Kaisar; Osuala, Richard; Bobowicz, Maciej; ... (2026)
The MAMA-MIA Challenge: Advancing Generalizability and Fairness in Breast MRI Tumor Segmentation and Treatment Response Prediction. In: IEEE TRANSACTIONS ON MEDICAL IMAGING. ISSN 0278-0062
Contributo su Rivista
Septiers, Valentin; Sosa-Marrero, Carlos; Poeta, Eleonora; Chourak, Hilda; Briens, ... (2026)
Explainable Prediction of Recurrence After Prostate Cancer Radiotherapy Using in Silico digital twin model and machine learning. In: Digital Twin for Healthcare. DT4H 2025 held in Conjunction with MICCAI 2025 (28th International Conference on Medical Image Computing and Computer Assisted Intervention), Daejeon (KOR), September 23, 2025, pp. 152-163. ISSN 1611-3349. ISBN: 978-3-032-07694-6
Contributo in Atti di Convegno (Proceeding)
Poeta, Eleonora; Ciravegna, Gabriele; Pastor, Eliana; Cerquitelli, Tania; Baralis, Elena (2025)
Concept-based Explainable Artificial Intelligence: A Survey. In: ACM COMPUTING SURVEYS. ISSN 0360-0300
Contributo su Rivista