Hong Qin
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Professor (since Fall 2022) / Associate Professor
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About
Professor Hong Qin is a faculty member at the University of Tennessee Chattanooga, where he has served since Fall 2022. His research interests include machine learning applications in healthcare, particularly in ischemic stroke prediction and diabetes management, as well as computational approaches to viral transmission and urban ecology. He has published extensively on topics such as SARS-CoV-2 variant analysis, optimization algorithms, and spatiotemporal urban studies.
Recent Grants
Grant: Close
PIPP Phase I: Develop and Evaluate Computational Frameworks to Predict and Prevent Future Coronavirus Pandemics
Open Date: 2022-08-01
Close Date: 2024-01-31
Grant: Close
REU Site: ICompBio - Engaging Undergraduates in Interdisciplinary Computing for Biological Research
Open Date: 2019-04-01
Close Date: 2022-03-31
Grant: Close
Spokes: MEDIUM: SOUTH: Collaborative: Integrating Biological Big Data Research into Student Training and Education
Open Date: 2018-10-01
Close Date: 2021-09-01
Grant: Close
Collaborative Research: SFS Program: Strengthening the National Cyber Security Workforce
Open Date: 2017-01-01
Close Date: 2021-12-01
Grant: Close
Collaborative Research: Enhancing Cyber Security Education Using POGIL
Open Date: 2016-09-01
Close Date: 2020-08-31
Articles (15)
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2025
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2025
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2024
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2024
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2024
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2024
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2024
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2024
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2023
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2023
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2023
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2023
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2022
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2021
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2020
Collaborators (3)
Arjun Neupane
Lecturer and Teacher
Central Queensland University
Weiwei Dang
Assistant Professor
Baylor College of Medicine
Hong Qin
University of Tennessee at Chattanooga
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