About
I am a postdoctoral fellow in the AIRLab group at the Department of Electronics, Information and Bioengineering (DEIB), Politecnico di Milano, where I completed my PhD in Information Technology cum laude in 2025.
My research has grown within the H2020 ESSENCE and AI-SPRINT projects and the PNRR FAIR project, and continues today — in the Lombardy-funded PREDICT project — with cutting-edge generative techniques for synthesising and privately sharing medical images and data. I am also part of the SEL (Smart Eyewear Lab), a joint research platform of EssilorLuxottica and Politecnico di Milano, where I work on quantised neural architecture search for edge devices.
Within the scientific debate, I share the concerns of that part of the scientific community which questions the scenarios of artificial intelligence, advocating the necessity to develop strategies to address critical phenomena such as goal misalignment, self-replication, and uncontrolled self-improvement in advanced AI systems. I believe the purpose of artificial intelligence must be the prosperity and wellbeing of humanity, and that among its most urgent tasks is confronting the climate crisis.
12 / 9h-indexGoogle Scholar / Scopus
340+CitationsGoogle Scholar
30 / 16PublicationsOverall / A+ Conferences or Q1 Journals
5Research ProjectsEuropean, Regional, JRP
14 / 420+Teaching ActivitiesUniversity or Corporate Courses / Teaching Hours
25 / 2SupervisionsMSc / PhD
Education and Experience
Education
PhD in Information Technology cum laude
AIRLab, DEIB, Politecnico di Milano
2020 — 2025
MSc in Computer Science and Engineering
Politecnico di Milano
2017 — 2020
BSc in Information Engineering
Politecnico di Milano
2013 — 2017
Experience
Postdoctoral Fellow
AIRLab, DEIB, Politecnico di Milano
2025 — present
2024 — present
AIRLab Member
AIRLab, DEIB, Politecnico di Milano
2019 — present
Research Interests
Generative Deep Learning
Diffusion, adversarial and variational models for the latent creation of new knowledge.
Synthetic Dataset Generation
High-utility synthetic datasets, to train downstream machine learning models on synthetic data and test them on real data.
Privacy-Preserving Deep Learning
Synthetic-data techniques for building private models and exchanging knowledge across institutions.
Multimodal Deep Learning
Techniques to build latent knowledge from heterogeneous sources and fuse it to optimise downstream tasks.
Edge-Oriented Neural Architecture Search
NAS techniques for architectures that are Pareto-optimal between accuracy and performance on edge devices.
Healthcare and Climate Applications
Applications serving human health and the safeguarding of the climate.
Selected Publications
Journal
N. Resmini, E. Lomurno, C. Sbrolli, M. Matteucci | Image and Vision Computing, 2025
Journal
E. Lomurno, M. Matteucci | Pattern Recognition Letters, 2025
Journal
E. Lomurno, M. Matteucci | Pattern Recognition Letters, 2025
Conference
A. Lampis, E. Lomurno, M. Matteucci | BMVC, 2023
Journal
A. Falanti, E. Lomurno, D. Ardagna, M. Matteucci | Applied Soft Computing, 2023
Awards and Achievements
★ Leonardo Fibonacci Best Paper Award
11th International Conference on Machine Learning, Optimization and Data Science, 2025
★ PhD Awarded Cum Laude
Politecnico di Milano, 2025
Research Projects
Smart Eyewear Lab
Joint Research Platform, Politecnico di Milano and EssilorLuxottica
Research Track Lead — Neural Architecture Search × Edge Devices
2026 — present
Predictive Response and Disease Evaluation in Ovarian Cancer with Generative AI
Fondazione Regionale per la Ricerca Biomedica, Regione Lombardia, ID 012024R0055
AI Scientific Lead
2026 — present
Future Artificial Intelligence Research
PNRR, MUR announcement no. 341, ID PE00000013
Research Track Lead — Generative AI
2024 — 2026
Artificial Intelligence in Secure Privacy-preserving Computing Continuum
Horizon 2020, Grant Agreement 101016577
AI Scientific Lead
2021 — 2023
Empathic Platform to Monitor, Stimulate, Enrich and Assist Elders and Children
Horizon 2020, Grant Agreement 101016112
AI Scientific Lead
2020 — 2023
Teaching Activities
Intelligenza Artificiale
BSc Course, Politecnico di Milano | Teaching Assistant
2026 — present
Advanced Deep Learning
MSc Course, Politecnico di Milano | Teaching Assistant
2026 — present
AI Bootcamp — TechCamp
Summer School, Politecnico di Milano | Teaching Assistant, 3 Editions
2024 — present
Artificial Neural Networks and Deep Learning
MSc Course, Politecnico di Milano | Teaching Assistant, 5 Editions
2021 — present
Show all 14 coursesShow fewer
Artificial Intelligence
Corporate Course, Guber Banca S.p.A. | Teacher, 2 Editions
2025 — 2026
AI Product Management Bootcamp
Corporate Course, CEFRIEL | Teaching Assistant
2025
Generative AI: Methods and Practice
Corporate Course, MADE, M.I.A. Lombardia EDIH | Teacher
2025
Computer Vision and Image Processing
MSc Course, Università Bocconi | Teaching Assistant, 2 Editions
2024 — 2025
Deep Learning for Computer Vision
MSc Course, Università Bocconi | Teaching Assistant, 2 Editions
2023 — 2024
Deep Learning
Corporate Course, CEFRIEL, Master in Data Science & AI | Teacher
2023
Advanced Topics in Deep Learning: The Rise of Transformers
PhD Course, Politecnico di Milano | Teaching Assistant
2023
Generative Adversarial Networks
Corporate Course, CEFRIEL, NOKIA Master AI&ML | Teacher
2022
Deep Learning and Neural Networks
Corporate Course, CEFRIEL, SIAE Master AI&ML | Teaching Assistant
2022
Advanced Deep Learning Models and Methods
PhD Course, Politecnico di Milano | Teaching Assistant
2022
Supervisions
PhD — Co-Advisor
Advanced Generative Deep Learning for Healthcare
Francesca Pia Panaccione
Keywords: Generative Deep Learning, Medical Imaging, Healthcare AI
2025 — present
Advanced Generative Deep Learning for Synthetic Data Utility Enrichment
Leonardo Brusini
Keywords: Generative Deep Learning, Synthetic Data, Data Utility
2026 — present
MSc — Co-Advisor
What Shapes a Synthetic CT? On Multimodal 3D CT Generation and Conditioning
Silvia Mombelli
Keywords: Medical Imaging, 3D CT Generation, Multimodal Conditioning
2026 — present
Who’s in the Noise? Counterfactual vs Predictive Approaches to Longitudinal CT Synthesis
Jie Chen
Keywords: Counterfactual Generation, Longitudinal Imaging, CT Synthesis
2026 — present
Compressing Without Compromising? On Knowledge Distillation for Quantization-Aware Training
Giacomo Bossi
Keywords: Knowledge Distillation, Quantisation-Aware Training, Model Compression
2026 — present
Less is More? On Network Pruning and Low-Rank Approximation for Edge AI
Andrea Sanvito
Keywords: Network Pruning, Low-Rank Approximation, Edge AI
2026 — present
“P. Sherman, 42 Wallaby Way, Sydney”: Investigating When LLMs Forget What They Were Talking About
Fabiola Ribolsi
Keywords: Large Language Models, Long-Context Memory, Context Degradation
2026 — present
Show all 25 MSc thesesShow fewer
A Multimodal Benchmark for Text-Guided Anomaly Detection
Teodora Jovanović
Keywords: Anomaly Detection, Vision-Language Models, Industrial Inspection
2025 — 2026
TARDIS: Tabular Distillation and Inference-time Sampling framework
Filippo Balzarini & Francesco Benelle
Keywords: Tabular Data, Knowledge Distillation, Inference-Time Sampling
2025 — 2026
CONVERSE: Discovering Patient Groups in Survival Data via Deep Latent Clustering
Pinar Erbil
Keywords: Survival Analysis, Deep Latent Clustering, Patient Stratification
2025 — 2026
Generating ovarian cancer CT volumes via multimodal conditioning
Carlotta Pecchiari
Keywords: Medical Imaging, 3D Generation, Multimodal Conditioning
2024 — 2026
Enhancing Contrastive Learning with Synthetic Data from Text-to-Image Models
Leonardo Brusini
Keywords: Contrastive Learning, Synthetic Data, Text-to-Image Models
2024 — 2025
A Generative Pipeline for High-Quality Synthetic Survival Datasets
Niccolò Maria Rizzi
Keywords: Synthetic Datasets, Survival Analysis, Generative Deep Learning
2024 — 2025
Neuro-Symbolic Conditioning for Synthetic Dataset Generation via GANs and Stable Diffusion
Giacomo Savazzi
Keywords: Neuro-Symbolic Models, Scene Graph Generation, Latent Diffusion
2024 — 2025
Text-Conditioned Knowledge Recycling: A Synthetic Dataset Generation Pipeline
Nicolò Francesco Resmini
Keywords: Text-Conditioned Diffusion, Knowledge Distillation, Membership Inference
2024 — 2025
POMONAG: Pareto Optimal Many-Objective Neural Architecture Generator
Samuele Mariani & Matteo Monti
Keywords: Neural Architecture Search, Pareto Optimality, Diffusion Models
2023 — 2024
Stable Diffusion Adaptation for Generation and Total Replacement of Real Data
Matteo D’Oria
Keywords: Stable Diffusion, Dataset Synthesis, Classification Accuracy Score
2023 — 2024
A Journey to Improve Neural Architecture Search: Neural Architecture Transfer and Once-For-All
Simone Sarti
Keywords: Neural Architecture Transfer, Once-For-All, Image Classification
2022 — 2023
Adversarial Privacy: Balancing Accuracy and Security in Deep Neural Networks
Francesca Ausonio
Keywords: Differential Privacy, Regularisation, Membership Inference
2022 — 2023
Bridging the Gap: Improving Classification Accuracy through Post-Processing Techniques
Andrea Lampis
Keywords: Generative Models, Classification Accuracy Score, Synthetic Images
2022 — 2023
Longitudinal Monitoring of Graphical Abilities, Towards the Early Diagnosis of Dysgraphia
Madhurii Gatto & Matteo Bollettino
Keywords: Dysgraphia, Longitudinal Monitoring, Time-Series Embeddings
2021 — 2022
On Dysgraphia Diagnosis Support via the Automation of the BVSCO Test Scoring — KTH
Riccardo Sommaruga
Keywords: Dysgraphia Screening, Handwriting Analysis, Automated Scoring
2021 — 2022
Machine Learning-Based Analysis of Spontaneous Speech to Monitor Cognitive Decline
Chiara Giangregorio
Keywords: Acoustic Features, Cognitive Decline, Speech Analysis
2021 — 2022
Deep Neural Networks for Time Series Forecasting Beyond Transformers
Riccardo Ughi
Keywords: Time-Series Forecasting, Transformers, Deep Learning
2021 — 2022
Unsupervised Activities and Age Monitoring via Smart Ink Pen
Maria Paola D’Ercole
Keywords: Handwriting Analysis, Ageing, Smart Ink Pen
2021 — 2022
POPNASv2: Efficient Neural Architecture Search Through Time-Accuracy Optimization
Andrea Falanti
Keywords: Neural Architecture Search, Pareto Optimality, Image Classification
2021 — 2022
On the Resilience and Protection of Regularization Techniques in Differential Privacy
Marco Giammarresi
Keywords: Differential Privacy, Regularisation, Privacy Attacks
2021 — 2022
Contact
If these topics resonate with you — for a discussion or a collaboration, in academia as well as in the entrepreneurial world — I’d be glad to hear from you.