Rafael Damaceno
Postdoctoral Researcher at Universidade de São Paulo
São Paulo, Brazil
Summary
👤
Senior🎓
Top SchoolRafael Damaceno is a postdoctoral researcher and computer scientist based in São Paulo with a decade of experience at the intersection of Human–Computer Interaction, scientometrics, and applied deep learning. He holds a PhD in Computer Science from Universidade Federal do ABC and during his doctorate created Plataforma Acácia, a tool that maps postgraduate advising relationships across Brazil. Currently at the Institute of Mathematics and Statistics, University of São Paulo, he leads projects in computer vision and deep learning for urban informatics. Previously he consulted for SciELO, developing systems for citation standardization and COUNTER v5 access counting while conducting research in scientometrics. Rafael blends rigorous academic research with practical system development, having moved from mobile accessibility studies in his master's to scalable research tools and urban AI applications. He brings a rare combination of domain knowledge in research metrics and hands-on expertise building research-grade software for large scholarly and urban datasets.
10 years of coding experience
Doutorado, Ciência da Computação, Doutorado, Ciência da Computação at Universidade Federal do ABCMestrado em Ciência da Computação, Mestrado em Ciência da Computação at Fundação Universidade Federal do ABC
Stackoverflow
11reputation
5kreached
1answer
0questions
Github Skills (51)
python10
xml-schema10
xml10
preprocessing9
standardization9
normalization9
rio9
flask9
mongodb9
search-interface8
tiddlywiki8
traits8
catalog8
reproducible-science7
crossword7
Programming languages (9)
Github contributions (5)
rafaelpezzuto/multi-sensor-data-collection
Oct 2023 - Mar 2025
MultiSensor Data Collection is a mobile app that seamlessly gathers data from various sensors, including GPS, camera, and audio, allowing you to create a comprehensive dataset locally and effortlessly transmit it to the cloud for further analysis and storage.
Contributions:2 releases, 37 PRs, 70 pushes in 1 year 5 months
scieloorg/scielo_nw
Apr 2021 - Feb 2022
A set of methods to get, normalize and merge scholarly data
Contributions:7 releases, 19 PRs, 13 pushes in 9 months
data-managementmergeopensciencescholarlyreproducible-science
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