معرفی
Hong Qin is an Associate Professor at Old Dominion University (ODU), specializing in interdisciplinary research at the intersection of artificial intelligence, bioinformatics, and public health. His work focuses on developing machine learning models for healthcare diagnostics, pandemic forecasting, and computational biology. Qin’s research integrates deep learning, federated learning, and explainable AI to address challenges in disease detection, aging mechanisms, and urban environmental analysis.
Key research interests include viral evolution modeling, medical image analysis, and algorithm optimization for genomics. He has contributed to projects like the REU Site: Interdisciplinary Computational Biology (iCompBio), fostering undergraduate research in computational biology and data science. His lab develops tools such as μPolar for image analysis and Fitmix for lifespan modeling in yeast.
Recent studies explore the impact of social determinants on health outcomes, AI-driven solutions for cybersecurity threats, and urban growth modeling using remote sensing. Qin’s work bridges computational methods with real-world applications in healthcare, environmental science, and public policy.
