Nicola Messina

Postdoctoral Researcher at Institute of Information Science and Technologies

Massa-Carrara, Tuscany, Italy
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Summary

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Senior
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Top School
Nicola Messina is a postdoctoral researcher at ISTI-CNR in Pisa, bringing nine years of experience at the intersection of computer vision and deep learning. He holds an M.Sc. in Computer Engineering and a Ph.D. in Information Engineering from the University of Pisa, and focuses on Transformer-based architectures for efficient cross-modal analysis of text, images, and video. His work spans relational understanding in multimedia, attentive models for anomaly detection and abstract visual reasoning, and applied surveillance video analysis. Passionate about the “secrets of intelligence,” he also explores links to computer graphics, which informs his approach to visual representation and synthesis. Based in Tuscany, he blends rigorous academic training with hands-on research that targets both theoretical advances and practical multimodal systems.
code9 years of coding experience
bookDoctor of Philosophy - PhD, Information Engineering, Doctor of Philosophy - PhD, Information Engineering at Università di Pisa
languagesEnglish, Italian
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Github Skills (36)

graph-algorithms10
stylegan10
clip10
tern10
network-analysis9
encoder9
graph-analysis9
python9
machine-learning9
multimodal9
graph-visualization9
deep-learning9
graph-theory9
complex-networks9
computer-vision9

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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mesnico/TERAN

Aug 2020 - Jan 2023

Code and Resources for the Transformer Encoder Reasoning and Alignment Network (TERAN), an extension to our previous work TERN that was accepted at ICPR 2020
Contributions:10 commits, 9 pushes, 1 branch in 2 years 5 months
pytorchalignmenttransformerencoderprevious
mesnico/ALADIN

Dec 2021 - Jan 2023

Contributions:31 commits, 10 pushes, 1 branch in 1 year 1 month
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