Luigi Capogrosso
@l_capogrosso
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Postdoctoral Researcher of Embedded ML and Smart Sensors at the Interdisciplinary Transformation University of Austria (IT:U).
Linz, Austria
Joined March 2021
4/4 💡 If you are passionate about embedded AI, sensing, and space technologies, we would love to hear from you, and don't hesitate to contact us with any questions ☺️ 🔗 For more information on our teaching and research activities, visit our website: https://t.co/UU5l0RailP.
itu-s3-lab.github.io
Smart Sensing and Systems Lab (S³ Lab)
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3/4 2️⃣ "Energy-Efficient Communication Systems for Next-Generation CubeSats". 👉 Apply and find out more here: https://t.co/OxeqxIyxxq.
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2/4 1️⃣ "Embedded Sensors and CubeSat Architectures for Earth Observation Missions". 👉 Apply and find out more here: https://t.co/t2DDNe1oh1.
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1/4 🔬 Join Us! The S³ Lab at the Interdisciplinary Transformation University (IT:U) is opening two exciting #PhD positions under the guidance of Prof. Michele Magno. 📅 Deadline: January 31, 2026.
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3/3 🚀 Our main mission over the next three years is the design, development, integration, and launch of IT:U’s first CubeSat 🛰️ If you are a student, researcher, or potential industry partner passionate about space, AI, and hands-on engineering, join us on our mission! 👋
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2/3 🔹 The creation of SPOK is driven by a simple yet ambitious goal: to demystify space technology and make it an accessible and hands-on learning experience. 🔹 SPOK Space Lab will be a central hub for teaching, research, lab activities, and industry collaborations.
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1/3 📣 The S³ Lab is proud to announce the launch of SPOK - IT:U #SpaceLab, our newest initiative dedicated to the future of intelligent systems in space 🪐 👉 Visit the page here: https://t.co/vel1SQauvl 🌐
itu-s3-lab.github.io
The IT:U Space Lab
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3/3 🏛 The lab is part of the Interdisciplinary Transformation University (IT:U), where creativity, engineering, and science combine to transform ideas into impactful real-world solutions.
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2/3 🎓 Our educational philosophy is founded on Project-based Learning, giving students hands-on experiences. 🔬 Our research areas include: 💡 #EdgeAI & #IntelligentSensors. 🔋 #WirelessSensorNetworks & #IoT. ☀️ #EmbeddedSystems & #EnergyHarvesting. 🤖 #AutonomousRobots.
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1/3 Our research group’s official website is now online 🚀 👉 https://t.co/CkhDnDbru1 Here you can find information about our projects, publications, and activities. New updates will be coming soon… stay tuned! 😎
github.com
IT:U Smart Sensing and Systems Lab (S³ Lab) has 2 repositories available. Follow their code on GitHub.
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A new chapter begins! 🤩 I have recently joined the Interdisciplinary Transformation University of Austria (IT:U) in Linz as a Postdoctoral Researcher of Embedded ML and Smart Sensors, working with Prof. Michele Magno, within the Smart Space Sensing and Systems Lab (S³ Lab)!
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3/3 🔔 Keep an eye on the repositories and turn on notifications — in the coming days, we’ll release the code and open-access versions of both papers! On to the next! 🚀
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2/3 1️⃣ From Scratch to Twin: The Design of Your First Human-Centric Digital Twin 🏆 Best Presentation Award for this! 🥳 🔗 GitHub: https://t.co/p1tXwSFswD 2️⃣ GAIA: A Comprehensive Pipeline for Enabling Aircraft Digital Twin Creation 🔗 GitHub:
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1/3 Just came back from an amazing week in #Toronto 🇨🇦, where I had the pleasure of presenting two of our latest works with Francesco Biondani at the @ieeeisie2025! 🏭
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4/4 🔝 Tested on renowned industrial datasets such as MVTec‑AD and ViSA, KairosAD delivers top-tier anomaly detection performance — while using 78% fewer parameters and running 4× faster inference times than SOTA alternatives, all without sacrificing AUROC effectiveness.
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3/4 📚 Specifically, we leveraged the power of #MobileSAM to build a supervised approach that excels in practical deployment scenarios.
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2/4 Key highlights: 🎯 Supervised image-based anomaly detection on par with top models in accuracy. ⚡️ Ultra-efficient: slashes model size and speeds up inference for embedded use. 🌱 KairosAD is also green: its minimal computational footprint ensures low carbon emissions.
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1/4 📣 I am super proud of the work we have achieved in #KairosAD — a lightweight, lightning-fast anomaly detection solution tailored for embedded devices! 🚀 🔍 Article, code, and details are available on our website: https://t.co/mxhSpN1zwf 💪
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