Researcher in Deep Learning and AI
Dipartimento di Ingegneria dell'Informazione e Scienze Matematiche (DIISM), Universitá di Siena, Siena (Italy)
ICE, University of Cambridge, Cambridge (UK)
Giovanna Maria Dimitri is a researcher in Artificial Intelligence at the Dipartimento di Ingegneria dell'Informazione e Scienze Matematiche (DIISM), University of Siena, Italy, working in the Artificial Intelligence Group.
Previously she obtained a PhD at the University of Cambridge (UK), supervised by Prof. Pietro Liò, with the dissertation: “Multilayer network methodologies for brain data analysis and modeling”. She graduated in July 2015 with an MPhil in Advanced Computer Science at the University of Cambridge, with distinction. She is a life member of Clare Hall College, University of Cambridge. Previously she received her master’s and bachelor’s thesis (both 110/110 cum laude) in Computer and Automation Engineering at the University of Siena (Italy), supervised by Prof. Michelangelo Diligenti.
She is lecturing the Business Intelligence course for the master in Engineering Management (DIISM, University of Siena) since A.Y. 2019/2020 and she is Guest Lecturer of Data Science for the Institute of Continuing Education, University of Cambridge (Cambridge, UK).
She has a research publication record of almost 60 papers published in top peer reviewed and international journals, as well as an extensive experience in teaching and supervising.
In 2023 she won the competitive Ai-Net Fellows Scholarship sponsored by DAAD, and she therefore was selected and visited the lab of Prof. Gemma Roig in December 2023. Since then started the collaboration with Prof. Gemma Roig group (https://www.daad.de/en/the-daad/postdocnet/fellows/fellows/#Dimitri).
She has been interviewed by several journals and tv shows in Italy for her expertise in Artificial Intelligence and Computer Science, and she has an extensive experience in terms of science communication events.
She is an extensive experience and she is associate editor for Neurocomputing journal (Elsevier) and she has been elected Associate Editor of IEEE Transactions on Society and Technology since May 2024.
Her research interests concern artificial intelligence, in a wide spectrum of applications, as well as in the development of foundational models.
News
-17 April 2025: Paper Accepted at IJCNN 2025 Workshop on Semantic Segmentation and Logic Rules and at AIUCD conference (Associazione per l'Informatica Umanistica nell'era dell'Intelligenza Artificiale) Verona 2025
-10 April 2025: Article on the impact of organic food consumption on health and EMBC paper accepted on the analysis of ICP signal and their artefacts!
-March 2025: Article on prediction on using machine learning for air quality monitoring assessment, accepted at Computer and Standards Interfaces, Elsevier (Q1) Journal!
-15th January 2025: Two works accepted for the International Workshops on Digital Twins and for ESANN Conference! Check out Conference Presentations for details on the paper
-1st January 2025: Paper "Enhancing Synthetic Generated-Images Detection through Post-Hoc Calibration" Accepted at the AI4MFDD at WACV2025! (https://warwick.ac.uk/fac/sci/dcs/research/siplab/ai4mfdd2025/)
-28 October 2024: Paper Accepted at the Rank A IEEE/CVF Wacv Conference! "Semiotic-Based Construction of a Large Emotional Image Dataset with Neutral Samples" has been accepted to WACV 2025 (https://wacv2025.thecvf.com/)
-October 2024: Paper Accepted at EA IntSys Conference! https://futuretransport.eai-conferences.org/2024/accepted-papers-2/
-Elected Associate Editor for the IEEE Transactions on Technology and Society Journal https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=8566059
-September 2024: Oral Presentations Accepted at MetroXRaine Conference, paper on applications of GNN for missing data imputation. Check the program here: Link
-01/07/2024 New Article on Sentimental Chatbot published in Personal and Ubiquitous Computing! Check it out here: https://link.springer.com/article/10.1007/s00779-024-01824-6
-Article on CO2 emission of ML models https://www.rizzolieducation.it/news/ma-quanto-inquina-lintelligenza-artificiale/
-24/05/2024 New Paper published on Heliyon (Elsevier) on Clustering and Modelling of the impact of Climate Change on Wine Production Here the link
-24/02/2024 New Paper on Detecting GAN generated satellite images with Deep Learning Here the link
-26/01/2024 New Paper on using Deep Learning for Brugada Syndrome early detection, Here the link
-2/01/2024 New paper coming out on using Machine Learning for Sustainable Development Goals performance assessments in Plos One! Check it out here
-Guest at Radio Rai 1 on 8/09/2023 at the program Zapping. Watch my Interview from the link on the right!