Noemi Mauro

Noemi Mauro is a Tenure-track Assistant Professor in the Department of Computer Science at the University of Torino, Italy. She holds a PhD in Computer Science with honors from the same institution, supervised by Prof. Liliana Ardissono. Her research focuses on personalization, recommender systems, user modeling, and information retrieval, with a strong emphasis on inclusive technologies for people with Autism Spectrum Disorders (ASD).

• PhD in Computer Science with Honors, University of Turin (2016–2019)
• Master’s in Computer Science, University of Turin (2014–2016), 110/110 summa cum laude
• Bachelor’s in Computer Science, University of Turin (2011–2014), 110/110
• Visiting PhD at Alpen-Adria-Universität Klagenfurt (2018–2019)
• Visiting PhD at University College Dublin (2017–2018)

Her research interests include Recommender Systems, Personalization, User Modeling, Information Retrieval, Accessibility, and Cultural Heritage. She has made significant contributions to inclusive technologies, particularly through systems that support people with autism in tourism and urban navigation. Her work integrates ethical and sustainable dimensions into recommendation algorithms.

Her recent publications (2023–2025) reflect a strong trend toward explainable AI, sustainable consumption, cultural heritage exploration, and inclusive design. She frequently publishes in top venues such as ACM UMAP, RecSys, IEEE Access, and Springer journals. Her research often involves multimodal interfaces, service-oriented architectures, and user-centered evaluations.

• Best Paper Award, UMAP 2020
• Young Researcher Award, University of Turin (2022)
• Women in RecSys Journal Paper of the Year (2022)
• Outstanding PC Member, HT 2020
• Best Master’s Thesis Award, University of Turin (2017)

Noemi Mauro actively supervises PhD and master’s students and has advised numerous bachelor’s theses on topics ranging from accessibility to gamification and ethical recommendation. She leads major research projects such as SPACES (Fondazione CRT) and ACCESS (PRIN), focusing on social inclusion and anxiety management for people with ASD. She also plays key roles in national and European initiatives like RevIs and NODES. In teaching, she delivers courses on databases and recommender systems. She is deeply embedded in the academic community as a workshop co-chair (PATCH series), editorial board member of UMUAI, and co-editor of special issues on AI for social good and inclusive systems.

She leads and contributes to labs and research teams focused on intelligent user interfaces, personalized access to cultural heritage, and inclusive recommender systems. Her work is conducted within collaborative environments such as the co3project (H2020) and the OnToMap platform, emphasizing semantic data interoperability and public engagement.