Dr. Mehdi Hosseini Chagahi is a researcher affiliated with the University of Tehran, specializing in financial data science, artificial intelligence, and cryptocurrency market forecasting. His work focuses on advanced deep learning architectures, particularly transformer-based and multimodal fusion frameworks that integrate market data with sentiment signals for trend prediction. He has authored 2 publications, accumulating 9 citations, with an h-index of 1, reflecting emerging scholarly impact. His recent open-access publication in IEEE Access (2025) demonstrates methodological innovation in cross-attention modeling. Through interdisciplinary collaboration at the intersection of AI and fintech, his research contributes to improved decision-support systems and broader societal understanding of digital financial markets.
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