Summary
Dimitris Karageorgiou is an R&D engineer and PhD candidate specializing in reliable deep learning and media forensics, with eight years of experience building production-ready systems for multimedia and social network analysis. At CERTH he turns research into high-performance containerized microservices, maintaining core image verification and near-duplicate detection services using Python, Docker, Redis, RabbitMQ and protobuf. His work spans the full lifecycle from novel algorithm development to distributed system design and deployment, with a practical focus on uncertainty-aware models for robustness. Previously he led IT and mobile development for a national engineering conference, shipping an Android app and a QR-based check-in system that dramatically sped registration. Based in Thessaloniki, he blends strong academic training—ongoing PhD at the University of Amsterdam and top grades from AUTH and an Erasmus exchange—with a taste for coffee-fueled paper reading and scientific writing. He’s particularly interested in deep learning architectures that make AI systems more dependable in real-world multimedia ecosystems.
8 years of coding experience
Charles III University of Madrid (Universidad Carlos III de Madrid)
19.6/20, 19.6/20 at Pallatideio Lyceum of Sidirokastro
Bachelor and integrated MSc, Electrical and Computers Engineering, 8.71 / 10, Bachelor and integrated MSc, Electrical and Computers Engineering, 8.71 / 10 at Aristotle University of Thessaloniki (AUTH)
Doctor of Philosophy - PhD, Reliable Deep Learning Models using Uncertainty Quantification Approaches, Doctor of Philosophy - PhD, Reliable Deep Learning Models using Uncertainty Quantification Approaches at University of Amsterdam