Dimitris Bibikas
Papers
1
Total Citations
1
H-Index
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About
Dimitris Bibikas is a leading researcher at the intersection of artificial intelligence, data engineering, and AI operations (AIOps), with a particular focus on human-centered AI systems. His most notable contribution is the development of the AI-DAPT concept, which bridges the critical gap between data management and AI deployment by introducing a human-in-the-loop framework. This work addresses a fundamental challenge in modern AI: while data quality and curation are essential for model performance, fairness, and robustness, they are frequently undervalued in practice. Bibikas’s research emphasizes the need for continuous data-driven adaptation in AI systems, ensuring that models remain effective and trustworthy as they transition from research to real-world deployment. His work has garnered attention for its practical approach to operationalizing AI, with his 2024 paper already cited by practitioners seeking to implement more resilient AI architectures. By advocating for the strategic integration of human oversight within automated AI pipelines, Bibikas is shaping the future of responsible and scalable artificial intelligence, making his contributions particularly valuable for students and researchers working on trustworthy AI systems.
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Top Papers
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