CV

Current Position

Researcher at the Department of Social, Political and Cognitive Sciences of the University of Siena

Education

• PhD in Information Engineering (Doctor Europeus) obtained at the Department of Information Engineering and Mathematics of the University of Siena, 2020
• Master’s Degree in Computer Engineering obtained at the Department of Information Engineering and Mathematics of the University of Siena, 2014
• Bachelor’s Degree in Computer Engineering obtained at the Department of Information Engineering and Mathematics of the University of Siena, 2011

Summer Schools

• International Summer School on Deep Learning - Bilbao, Spain, 2017
• IEEE Eurasip Summer School on Signal Processing - Capri, Italy, 2017
• Advanced School on Data Science & Machine Learning - Siena, Italy, 2018

Internship

• Three months of internship at the Computer Science Department of the University of Copenhagen

Previous Accademic Positions

• Research grant at Department of Information Engineering and Mathematics of the University of Siena (2025-2026). Research activity: “Deep learning techniques for the quantitative analysis of biomedical images” (Tutor Prof. Alessandro Mecocci)
• Researcher (RTDa) at the Department of Social, Political and Cognitive Sciences of the University of Siena (2022-2024).
• Research grant at the Department of Computer Science of the University of Pisa (2021). Research Activity: “Identification of the relevant genetic characteristics in predicting the efficacy of 4CMenB” (Tutor Prof. Corrado Priami)

• Research grant at Tuscia University (Viterbo) (2020-2021). Research activity: “Development of a multi-criteria decision support system for flood risk analysis” (Tutor Dr. Marco Barbanera)
• Research scholarship financed by bioMeriéux Italia S.p.a. at Department of Information Engineering and Mathematics of the University of Siena (2018-2020). Research activity: “Deep Learning techniques for the segmentation and analysis of medical images” (Tutor Prof. Alessandro Mecocci)
• Research grant at Department of Information Engineering and Mathematics of the University of Siena (2016-2018). Research activity: “Development of machine learning and computer vision software tools for recognition of documents and profiling bank loan users” (Tutor Prof. Alessandro Mecocci)
• Scholarship at Department of Information Engineering and Mathematics of the University of Siena (2015-2016). Research activity: “Development of computer vision/artificial intelligence software tools to be integrated into automated systems for analysis reporting” (Tutor Prof. Monica Bianchini)

Editorial Boards

• Associate Editor of the journal Neurocomputing published by Elsevier
• Associate Editor of the journal Frontiers in Artificial Intelligence, Pattern Recognition section.
• Topic Editor for the Research Topic “Deep Learning for Medical Imaging Applications” in the journal Frontiers in Imaging.
• Guest Editor for the special issue “Mathematical Modeling and Machine Learning Methods for Bioinformatics and Data Science Applications II” in the journal Mathematics published by MDPI

Pubblications

Automatic image analysis and classification for urinary bacteria infection screening

ABLE: An Automated Bacterial Load Estimator for the Urinoculture Screening

Automatic image classification for the urinoculture screening

Extraction of High Level Visual Features for the Automatic Recognition of UTIs

Automatic image classification for the urinoculture screening

Generating bounding box supervision for semantic segmentation with deep learning

A deep learning approach to bacterial colony segmentation

Analysis of brain NMR images for age estimation with deep learning

Confidence Measures for Deep Learning in Domain Adaptation

Fusion of visual and anamnestic data for the classification of skin lesions with deep learning

COCO_TS dataset: pixel-level annotations based on weak supervision for scene text segmentationg

Deep Learning Techniques for Dragonfly Action Recognition

Image generation by GAN and style transfer for agar plate image segmentation

Weak supervision for generating pixel-level annotations in scene text segmentation

Graph Neural Networks for the Prediction of Protein–Protein Interfaces

SlAide2Voice: a new educational tool for students with visual disabilities

A new deep learning approach integrated with clinical data for the dermoscopic differentiation of early melanomas from atypical nevi

Investigating Issues and Needs of Dyslexic Students at University: Proof of Concept of an Artificial Intelligence and Virtual Reality-Based Supporting Platform and Preliminary Results

Segmentation of Aorta 3D CT Images Based on 2D Convolutional Neural Networks

A Two-Stage GAN for High-Resolution Retinal Image Generation and Segmentation

Segmentation of Petri Plate Images for Automatic Reporting of Urine Culture Tests

MicroRNA signature for interpretable breast cancer classification with subtype clue

Deep Learning Approaches for the Segmentation of Glomeruli in Kidney Histopathological Images

A weakly supervised approach to skin lesion segmentation

Deep Learning Approaches for mice glomeruli segmentation

Multi-stage Synthetic Image Generation for the Semantic Segmentation of Medical Images

ISIC_WSM: Generating Weak Segmentation Maps for the ISIC archive

From Pixels to Diagnosis: AI-Driven Skin Lesion Recognition

Enhancing Fluorescence Image Analysis through Deep Learning

Enhancing glomeruli segmentation through cross–species pre–training

Development of an Automated Moderator for Deliberative Events

Classification of Neisseria meningitidis genomes with a bag-of-words approach and machine learning

Diff-Props: is Semantics Preserved within a Diffusion Model?

Enhancing Customer Support in Banking: Leveraging AI for Efficient Ticket Classification

A Comparison on Cross-Domain Representation Learning for Skin-Lesion Classification

A smart virtual keyboard to improve communication of locked-in patients

An analysis of pre-trained stable diffusion models through a semantic lens

Leveraging Segmentation Maps to improve Skin Lesion Classification

Towards a comprehensive characterization of arteries and veins in retinal imaging

A Deep Learning Approach for Nystagmus Recognition in RGB Videos

Exploring real-synthetic boundaries in diffusion latent space

Leveraging synthetic data for zero-shot and few-shot circle detection in real-world domains

Editorial: Deep learning for medical imaging applications

Teaching

PHP Course

Machine Learning for Structural Biology

Deep Learning and Tensorflow

Database Systems

Graphic and conversational interfaces

From shallow to deep neural networks: what about computational power?

Data Science: Introduction to Machine Learning and Deep Learning

Informatics and Artificial Intelligence