Simone Zini
Researcher at Intelligent Sensing Lab
Sesto San Giovanni, Lombardy, Italy
Summary
👤
Senior🎓
Top SchoolSimone Zini is a Ph.D.-trained researcher in computer vision and signal processing with nine years of experience applying machine learning and deep learning to image enhancement, digital camera algorithms, and biomedical and remote sensing signals. Based in Sesto San Giovanni, Italy, he balances academic roles—now as Assistant Professor at Università degli Studi di Milano‑Bicocca—with applied research positions, including his current role at Intelligent Sensing Lab. His work has been funded and collaborated with industry partners such as Canon Europe, Huawei and NEC, reflecting a strong track record of translating theory into practical imaging systems. Simone’s research spans unsupervised learning and information representation, and his Google Scholar profile shows a steady publication footprint underpinning his technical leadership. An oft-overlooked strength is his cross-domain experience from satellite remote sensing to biomedical signals, which gives him a rare perspective on generalizable image and signal enhancement methods.
9 years of coding experience
7 years of employment as a software developer
Research, Research at Starting a Grant proposal: from idea to practice - Lake Como School of Advanced StudiesDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Università degli Studi di Milano-BicoccaComputer Science, Computer Science at International Artificial Intelligence Doctoral AcademyComputer Science, Computer Science at ICVSS - International Computer Vision Summer School
English, Italian, Spanish
Github Skills (10)
jitter8
computer-vision8
representations8
torchvision7
datasets7
machine-learning7
pytorch6
procedure5
data-augmentation5
deep-learning5
Programming languages (2)
Github contributions (5)
TheZino/COCOA-COmbining-COlor-constancy-Algorithms
Jun 2021 - Oct 2022
Contributions:20 commits, 2 pushes in 1 year 3 months
TheZino/PlanckianJitter
Mar 2022 - Jan 2023
Planckian Jitter data augmentation procedure from "Planckian jitter: enhancing the color quality of self-supervised visual representations".
Contributions:14 commits, 1 PR, 10 pushes in 10 months
pytorchsupervisedrepresentationsjitterenhancing
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