Luigi Capogrosso

Postdoctoral Researcher at Interdisciplinary Transformation University (IT:U)

Linz, Upper Austria
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Summary

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Luigi Capogrosso is a postdoctoral researcher based in Linz specializing in embedded machine learning, smart sensors, and learning-enabled cyber-physical systems, with nine years of experience spanning academia and industry. He earned a PhD (cum laude) in Artificial Intelligence from Politecnico di Torino and holds MSc and BSc degrees from the University of Verona, where he also taught multiple courses in ML, computer vision, and systems. At IT:U’s S³ Lab he designs efficient ML and representation-learning solutions for constrained devices, building on prior work optimizing CNN inference on integrated GPUs and drone detection systems. A member of GNCS, IEEE and CVF, he blends rigorous mathematical grounding with hands-on edge analytics and IoT protocol implementation, reflecting a rare combination of theoretical depth and practical deployment experience.
code9 years of coding experience
job1 year of employment as a software developer
bookMaster's degree in Computer Engineering for Robotics and Smart Industry, Embedded & Iot Systems, 110/110 Cum Laude, Master's degree in Computer Engineering for Robotics and Smart Industry, Embedded & Iot Systems, 110/110 Cum Laude at Università degli Studi di Verona
bookHigh School Diploma, Computer science and robotics, 77/100, High School Diploma, Computer science and robotics, 77/100 at Marie Curie High School of Pergine Valsugana
bookDoctor of Philosophy - PhD, Artificial Intelligence, Doctor of Philosophy - PhD, Artificial Intelligence at Politecnico di Torino
languagesItalian, English
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Stackoverflow

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Github Skills (40)

opc10
sdk10
industrial-automation10
opc-ua10
architecture9
javascript9
publish-subscribe9
32-bit9
open-source9
pubsub9
server9
mozilla9
bit9
binary-decision-diagrams9
operating-system8

Programming languages (4)

C++CHTMLCuda

Github contributions (5)

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luigicapogrosso/HermesBDD

Dec 2021 - Nov 2024

Official implementation of the paper "HermesBDD: A Multi-Core and Multi-Platform Binary Decision Diagram Package" accepted @ DDECS 2023.
Contributions:2 PRs, 78 pushes, 2 branches in 2 years 11 months
binary-decision-diagramsparallel-algorithms
Contributions:1 release, 25 pushes, 2 branches in 1 year 10 months
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