Dimitrios Mallis

Postdoctoral Researcher at SnT, Interdisciplinary Centre for Security, Reliability and Trust

Luxembourg
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Summary

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Senior
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Top School
Dimitrios Mallis is a Postdoctoral Researcher at the University of Luxembourg’s SnT, specializing in 3D vision and CAD reverse engineering with a focus on recovering construction history and design intent from 3D scans and 2D sketches. He holds a PhD in Computer Vision from the University of Nottingham, where he advanced self- and semi-supervised methods for landmark detection and human pose estimation. Prior roles include research at Samsung AI Cambridge and engineering positions applying deep learning at Taboola and DeepLab for large-scale recommendation systems, demonstrating a rare blend of foundational research and production ML experience. With eight years in industry and academia, he couples rigorous domain adaptation expertise with practical deployment know-how across computer vision and recommender systems. Colleagues value his ability to translate ambiguous design artifacts into structured CAD insights, and he is actively exploring vision-language models to make design more interactive and assistive.
code8 years of coding experience
job3 years of employment as a software developer
bookDoctor of Philosophy - PhD, Computer Vision, Doctor of Philosophy - PhD, Computer Vision at University of Nottingham
bookEngineer’s Degree, Electrical and Electronics and Computer Engineering, Engineer’s Degree, Electrical and Electronics and Computer Engineering at Dimokrition Panepistimion Thrakis
languagesEnglish, Greek
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Github Skills (9)

representation-learning6
contrastive-learning6
self-supervised-learning5
unsupervised-learning5
pytorch3
robot3
slack-bot2
computer-vision1
slack1

Programming languages (2)

JavaScriptPython

Github contributions (5)

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Contributions:12 commits, 14 pushes, 3 branches in 8 months
Contributions:15 commits, 17 pushes, 1 branch in 6 months
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Dimitrios Mallis - Postdoctoral Researcher at SnT, Interdisciplinary Centre for Security, Reliability and Trust