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Full curriculum vitae.
Basics
| Name | Niccolò Biondi |
| Label | Assistant Professor |
| niccolo.biondi@unitn.it | |
| Phone | +39 342 8393246 |
| Url | https://NiccoBiondi.github.io |
| Summary | An Assistant Professor at the University of Trento (MHUG lab) developing advanced machine learning and computer vision systems, with applications in multimodal learning and biomedical domains. My primary research focuses on representation learning, specifically designing backward-compatible and stationary representations to enable seamless model updates in large-scale systems. My work has been published in top-tier venues including NeurIPS, CVPR (highlight), and IEEE TPAMI. |
Work
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2025.01 - Present Assistant Professor (RTD-A)
Multimedia & Human Understanding Lab (MHUG), University of Trento
Developing advanced machine learning and computer vision systems with applications in multimodal learning and biomedical domains. Research focuses on backward-compatible and stationary representation learning.
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2024.01 - 2025.01 Post-Doctoral Researcher
MICC Lab, University of Florence
Post-doctoral research on backward-compatible representation learning and model updates.
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2022.01 - 2022.12 Research Collaborator
Leonardo SPA
Face recognition on masked faces using advanced deep learning and transfer learning techniques.
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2021.01 - 2021.12 Research Fellow
MICC Lab, University of Florence — European Commission (AI4Media, Horizon 2020 #951911)
Research on multimedia AI under the AI4Media European project.
Education
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2021.01 - 2024.01 Florence, Italy
Ph.D.
University of Florence
Information Engineering
- Thesis: Learning Backward-Compatible Representations via Stationarity
- Supervisors: Prof. Alberto Del Bimbo and Federico Pernici
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2018.01 - 2021.01 Florence, Italy
M.Sc.
University of Florence
Information Engineering
- Thesis: Incremental Learning of Compatible Representations
- Focus: Machine Learning, Computer Vision, Statistics and Optimization Theory
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2015.01 - 2018.01 Florence, Italy
B.Sc.
University of Florence
Information Engineering
- Thesis: Financial Document Recognition with Neural Network
- Focus: Computer Science, Machine Learning, Physics and Mathematics
Awards
- 2026.01.01
CINECA ISCRA-C Award — MGRES (HP10CKYJ61)
CINECA under the ISCRA initiative
HPC resources awarded to pursue further research on Compatible Representations. Role: External Supervisor, PI.
- 2022.05.01
Best Student Paper Award
21st International Conference on Image Analysis and Processing (ICIAP 2022)
Awarded for 'Contrastive Supervised Distillation for Continual Representation Learning' (Oral presentation).
- 2022.10.01
Petrosino Prize — Best M.Sc. Thesis
CVPL Association
Best M.Sc. Thesis of the CVPL Association for 'CoReS: Compatible Representation via Stationary'.
- 2022.01.01
CINECA ISCRA-C Award — CoReS (HP10C4TIIM)
CINECA under the ISCRA initiative
HPC resources awarded to pursue further research on Compatible Representations. Role: External Supervisor, PI.
- 2021.01.01
CINECA ISCRA-C Award — ILCoRe (HP10CRMI87)
CINECA under the ISCRA initiative
HPC resources awarded to pursue research on Compatible Representations.
Skills
| Machine Learning & Computer Vision | |
| Representation Learning | |
| Backward-Compatible Learning | |
| Continual Learning | |
| Self-Supervised Learning | |
| Multimodal Learning | |
| Vision Transformers |
| Programming & Frameworks | |
| Python | |
| PyTorch | |
| NumPy | |
| OpenCV | |
| CUDA | |
| HPC / SLURM |
Languages
| Italian | |
| Native speaker |
| English | |
| Fluent |
Interests
| Research | |
| Representation Learning | |
| Backward Compatibility | |
| Continual Learning | |
| Computer Vision | |
| Biomedical AI |