Simone Zini

Researcher at Università degli Studi di Milano-Bicocca

Sesto San Giovanni, Lombardy, Italy
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Summary

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Senior
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Simone 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.
code9 years of coding experience
job7 years of employment as a software developer
bookResearch, Research at Starting a Grant proposal: from idea to practice - Lake Como School of Advanced Studies
bookDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Università degli Studi di Milano-Bicocca
bookComputer Science, Computer Science at International Artificial Intelligence Doctoral Academy
bookComputer Science, Computer Science at ICVSS - International Computer Vision Summer School
languagesEnglish, Italian, Spanish
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Github Skills (12)

computer-vision7
machine-learning6
data-augmentation6
mcc4
benchmark2
localization2
compression1
photography1
jpeg1
convolutional-neural-networks1
caffe1
deep-learning1

Programming languages (3)

Jupyter NotebookMATLABPython

Github contributions (5)

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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
data-augmentation
Contributions:20 commits, 2 pushes in 1 year 3 months
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