Dimitrios Papamartzivanos

Papers

Total Citations

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About

Dimitrios Papamartzivanos is a researcher working at the intersection of artificial intelligence, explainability, and human-machine collaboration, with a particular focus on industrial applications and visual inspection systems. His most recognized work centers on integrating explainable AI (xAI) and active learning frameworks to keep humans meaningfully engaged in AI-driven decision-making processes — a concept he explores through the "Human in the AI Loop" paradigm. This research addresses one of the most pressing challenges of modern manufacturing: as automation and robotics increasingly reshape production environments, how can human workers remain effective collaborators rather than passive bystanders? Papamartzivanos's contributions are especially relevant in the context of Industry 4.0, where intelligent systems must be both powerful and interpretable. By combining xAI techniques with active learning, his work enables systems to leverage human expertise selectively and transparently, improving model performance while maintaining human oversight. His 2023 paper on this topic has accumulated 13 citations, signaling growing interest from the research community in trustworthy, human-centered AI. For students and researchers exploring responsible automation, collaborative intelligence, or explainable machine learning in industrial settings, Papamartzivanos's work offers a valuable and timely foundation.