Carlos Agostinho
Papers
1
Total Citations
1
H-Index
1
About
Carlos Agostinho is a leading researcher at the intersection of data engineering and artificial intelligence, with a primary focus on AI operations (AIOps), human-in-the-loop systems, and data-centric AI. His most notable contribution is the pioneering **AI-DAPT concept**, introduced in his 2024 paper, which addresses the critical yet often overlooked role of data in bridging the gap between AI research and real-world deployment. By emphasizing data quality, provenance, and continuous human oversight, Agostinho’s work provides a framework for building more robust, fair, and trustworthy AI systems. Though his research is still emerging, with his key paper already garnering attention, his forward-looking approach positions him as a thought leader in the next wave of AI development. Agostinho’s work is particularly impactful for students and practitioners seeking to understand how data governance and human feedback can drive the future of sustainable, scalable AI.
Research Focus
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Top Papers
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