About Hong Qin
Hong Qin, Ph.D., is an associate professor at the School of Data Science, Department of Computer Science, Old Dominion University. His research interests include artificial intelligence, machine learning, computational biology, and aging research. His lab is currently focusing on developing AI tools for pandemic prevention.
Research Interests
- Artificial Intelligence and Machine Learning in Healthcare
- Computational Biology and Genomics
- Pandemic Prediction and Prevention
- Aging and Longevity Research
- Data Science for Public Health
- Quantum Computing Applications in Biology
Selected Publications
- Chauhan, S. R. et al., BT-CNN: a balanced binary tree architecture for classification of brain tumour using MRI imaging, Front Physiol, 2024.
- Dash, S. et al., Predictive healthcare modeling for early pandemic assessment leveraging deep auto regressor neural prophet, Sci Rep, 2024.
- Kharya, S. S. et al., Weighted Bayesian Belief Network for diabetics: a predictive model, Front Artif Intell, 2024.
- Pasha, A. et al., Leveraging ANFIS with Adam and PSO optimizers for Parkinson's disease, Heliyon, 2024.
- Mallik, S. and Qin, H., Hybrid Deep Learning-based Smart Healthcare Application via CNN-LSTM for Early Detection of COVID-19, Current Bioinformatics, 2023.
- Si, T. et al., Identification of breast lesion through integrated study of gorilla troops optimization from MRI images, Sci Rep, 2023.
- Rucker, G. et al., Structure dynamics and free energy studies on the effect of point mutations on SARS-CoV-2 spike protein binding with ACE2 receptor, PLoS One, 2023.