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About Me

Hello world! I'm Jacopo Bonato an experimental physicist (Master's degree from the University of Trento) and an Artificial Intelligence researcher (Ph.D. in Data Science and Computation at the University of Bologna and IIT). My research and work experiences were focused on computational neuroscience, information theory machine learning, and deep learning. Besides my academic and scientific interests, I love music. I had my academy diploma in classical guitar at the Conservatory of Music of Trento. Finally, I love sports and I practice a lot of activities: running, swimming, tennis and kitesurfing. Feel free to reach out if you have any questions.

Research Interests

Computer Vision
Continual Learning
Machine Unlearning
Information Theory
Computational Neuroscience

Programming Skills

Python ▰▰▰▰▰▱
Pytorch, sklearn, Opencv ▰▰▰▰▰▱
HPC: OpenMP, MPI, Cuda ▰▰▰▰▱▱
Verilog ▰▰▰▱▱▱
C,C++ ▰▰▰▱▱▱

Education

2011-2016	B.Sc + M.Sc. in Physics	University of Trento	Trento, Italy
2018-2023	Ph.D. in Data Science and Computation (Dr. S. Panzeri)	University of Bologna and Istituto Italiano di Tecnologia	Bologna/Rovereto, Italy
↪ 12 months	Visiting Researcher,Department of Neurology	University Medical Center Hamburg-Eppendorf (UKE)	Hamburg, Germany

Work Experience

2023-present	AI Research Sceintist	Leonardo Labs	Rome, Italy
2022-2023	Computer Vision Scientist	Istituto Italiano di Tecnologia	Genova, Italy
2017-2018	Consultant in Robotics and AI	KPMG Advisory	Milan, Italy

Projects

Research projects in several computer vision fileds:

Continual Learning for image classification tasks (Academic research)
Continual Learning for object detection and pose estimation tasks (Academic and Industrial research)
Continual Federated Learning (Academic research)
Machine Unlearning (Academic and Industrial research)

Funded projects (International and national):

ELSA (European Lighthouse on Secure and Safe AI): organization of TWYN: Trust What You learN workshop at ECCV2024
NEWSROOM (European Defence Fund): development of novel machine unlearning algorithm and Likelihood Ratio Attack for federated learning system in the cyber security and defence contexts
FAIR (Future Artificial Intelligence Research): development of continual learning and unlearning algorithm

Main publications

Is Retain Set All You Need in Machine Unlearning? Restoring Performance of Unlearned Models with Out-Of-Distribution Images

Authors: J. Bonato, M. Cotogni, L. Sabetta
Journal: Under revision | Year: 2024

code PDF Cite

            @inproceedings{Bonato2024SCAR},
                title={Is Retain Set All You Need in Machine Unlearning? Restoring Performance of Unlearned Models with Out-Of-Distribution Images},
                author={J. Bonato and F. Pelosin and L. Sabetta and A. Nicolosi},
                booktitle={arxiv,
                year={2024}
            }

MIND: Multi-Task Incremental Network Distillation

Authors: J. Bonato, F. Pelosin, L. Sabetta, A. Nicolosi
Conference: AAAI-24, the 38th Annual AAAI Conference on Artificial Intelligence | Year: 2023 Selected for Oral Presentation

code PDF Cite

            @inproceedings{Bonato2023MIND,
                title={MIND: Multi-Task Incremental Network Distillation},
                author={J. Bonato and F. Pelosin and L. Sabetta and A. Nicolosi},
                booktitle={AAAI-24, the 38th Annual AAAI Conference on Artificial Intelligence},
                year={2023}
            }

DUCK: Distance-based Unlearning via Centroid Kinematics

Authors: Marco Cotogni, Jacopo Bonato, Luigi Sabetta, Francesco Pelosin, Alessandro Nicolosi
Journal: Under revision | Year: 2023

code PDF Cite

            @unpublished{Cotogni2023DUCK,
                title={DUCK: Distance-based Unlearning via Centroid Kinematics},
                author={Marco Cotogni and Jacopo Bonato and Luigi Sabetta and Francesco Pelosin and Alessandro Nicolosi},
                note={arxiv,Under revision},
                year={2023}
            }

Fast semantic segmentation of large-scale astrocytic networks using deep learning

Authors: J. Bonato, S. Curreli, S. Romanzi, S. Panzeri, T. Fellin
Journal: Under revision | Year: 2023

code PDF Cite

            @unpublished{Bonato2023AstrocyticNetworks,
                title={Fast semantic segmentation of large-scale astrocytic networks using deep learning},
                author={J. Bonato and S. Curreli and S. Romanzi and S. Panzeri and T. Fellin},
                note={Biorxiv, Under revision},
                year={2023}
            }

FetalPose: markerless pose estimation for 4D ultrasound imaging of fetal behavior

Authors: J. Bonato, N. Pretti, S. Panzeri, C. Becchio
Journal: Under revision | Year: 2023

code PDF Cite

            @unpublished{Bonato2023FetalPose,
                title={FetalPose: markerless pose estimation for 4D ultrasound imaging of fetal behavior},
                author={J. Bonato and N. Pretti and S. Panzeri and C. Becchio},
                note={Under revision},
                year={2023}
            }

Constraints on the design of neuromorphic circuits set by the properties of neural population codes

Authors: S. Panzeri, E. Janotte, A. Pequeño-Zurro, J. Bonato, C. Bartolozzi
Journal: Neuromorphic Computing and Engineering | Date: 3 January 2023

PDF Cite

            @article{Panzeri2023Neuromorphic,
                title={Constraints on the design of neuromorphic circuits set by the properties of neural population codes},
                author={S. Panzeri and E. Janotte and A. Pequeño-Zurro and J. Bonato and C. Bartolozzi},
                journal={Neuromorphic Computing and Engineering},
                year={2023},
                month={Jan},
                day={3}
            }

Complementary encoding of spatial information in hippocampal astrocytes

Authors: S. Curreli, J. Bonato, S. Romanzi, S. Panzeri, T. Fellin
Journal: PLoS Biology | Year: 2022 - Best paper of the year in PLoS Bio.

PDF Cite

            @article{Curreli2022HippocampalAstrocytes,
                title={Complementary encoding of spatial information in hippocampal astrocytes},
                author={S. Curreli and J. Bonato and S. Romanzi and S. Panzeri and T. Fellin},
                journal={PLoS Biology},
                volume={20},
                number={3},
                pages={e3001530},
                year={2022},
                publisher={Public Library of Science}
            }

Optimizing measures of information encoding in astrocytic calcium signals

Authors: J. Bonato, S. Curreli, T. Fellin, S. Panzeri
Journal: Brain Informatics. Lecture Notes in Computer Science | Year: 2022

code PDF Cite

            @inproceedings{Bonato2022AstrocyticCalcium,
                title={Optimizing measures of information encoding in astrocytic calcium signals},
                author={J. Bonato and S. Curreli and T. Fellin and S. Panzeri},
                booktitle={Brain Informatics. Lecture Notes in Computer Science},
                volume={13406},
                pages={117-128},
                year={2022},
                publisher={Springer}
            }

Using high speed smartphone cameras and video analysis techniques to teach mechanical wave physics

Authors: J. Bonato, P. Onorato, S. Oss, L.M. Gratton
Journal: PHYSICS EDUCATION | Year: 2017

PDF Cite

            @article{Bonato2017WavePhysics,
                title={Using high speed smartphone cameras and video analysis techniques to teach mechanical wave physics},
                author={J. Bonato and P. Onorato and S. Oss and L.M. Gratton},
                journal={PHYSICS EDUCATION},
                volume={52},
                number={4},
                pages={045017-045021},
                year={2017},
                publisher={IOP Publishing}
            }

Talks

AAAI, [ Vancouver, 23/02/2024] MIND: Multi-Task Incremental Network Distillation, Oral presentation
CodeMotion, Lventure, [ Rome, 12/10/2023] Object detection in Computer Vision: The most advanced techniques that have revolutionized artificial vision
Brain Informatics, [ Padova, 15/07/2022 | 17/07/2022 ] Oral presentation: Optimizing measures of information encoding in astrocytic calcium signals
SFN meeting [ 12/11/2021 | 16/11/2021 ] Rapid spatiotemporal analysis of astrocytic calcium dynamics using deep learning
Neuromatch meeting Selected for Oral Presentation [ 30/03/2020 | 31/03/2020 ] Astro3S: a novel deep learning method for Astrocyte Spatiotemporal Semantic Segmentation
SIF meeting [ Trento, 11/09/2017 | 15/09/2017 ] Oral presentation: Using high speed smartphone cameras and video analysis techniques to teach mechanical wave physics