Jing Meng | Medical image processing | Research Excellence Award

Prof. Jing Meng | Medical image processing | Research Excellence Award

Qufu Normal University | China

Prof. Jing Meng is an active researcher in medical image analysis and intelligent healthcare systems, with a primary focus on deep learning–based image segmentation, disease grading, and multimodal medical imaging. Her work addresses critical challenges in diabetic retinopathy analysis, OCT/OCTA vessel segmentation, low-dose CT denoising, and cross-domain feature fusion using advanced neural network architectures. She has authored 73 Scopus-indexed publications, receiving 814 citations and achieving an h-index of 13, reflecting sustained research impact. Her studies are published in high-quality international journals, including Science Advances, Information Fusion, Expert Systems with Applications, and Neurocomputing. Dr. Meng maintains extensive academic collaboration, evidenced by 157 co-authors, highlighting strong interdisciplinary and international engagement. Her research contributes significantly to early disease diagnosis, clinical decision support, and improved medical imaging accuracy, demonstrating clear societal and healthcare impact through the advancement of AI-driven diagnostic technologies.

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Mehdi Hosseini Chagahi | Medical Imaging | Research Excellence Award

Dr. Mehdi Hosseini Chagahi | Medical Imaging | Research Excellence Award

University of Tehran | Iran

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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