Sunmi Lee

Emailsunmileekhu.ackr
Websitehttp://applsci.khu.ac.kr/v2/

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Dive into the research topics where Sunmi Lee is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

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74 Article
1 Chapter
1 Conference contribution

Epidemic control under hidden transmission and network heterogeneity using individual-based modeling and reinforcement learning
Lee, H., Abdulali, A., Chowell, G. & Lee, S., Jan 2026, In: Nonlinear Dynamics. 114, 2, 98.
Research output: Contribution to journal › Article › peer-review
A mobility-adjusted framework for regional R_t estimation: enhancing spatial interpretation of transmission dynamics
Kim, Y., Jo, J., Kim, B. N., Abdulali, A., Chowell, G. & Lee, S., Dec 2025, In: BMC Infectious Diseases. 25, 1, 1473.
Research output: Contribution to journal › Article › peer-review

Open Access
A novel approach to estimating R_t through infection networks: understanding regional transmission dynamics of COVID-19
Kim, B. N., Jo, J., Oh, C., Moon, S., Abdulali, A. & Lee, S., 2025, In: Frontiers in Public Health. 13, 1586786.
Research output: Contribution to journal › Article › peer-review

Open Access
1 Citation (Scopus)
COVID-19 severity analysis for clinical decision support based on machine learning approach
Kim, J. E., Kim, T., Chowell, G., Kim, H. S. & Lee, S., Dec 2025, In: Scientific Reports. 15, 1, 43327.
Research output: Contribution to journal › Article › peer-review

Open Access
Impact of imported COVID-19 cases on South Korea’s response: variant transitions and regional patterns (2020–2023)
Seo, H., Choi, M., Chowell, G., Lee, H., Kim, B. N. & Lee, S., Dec 2025, In: BMC Infectious Diseases. 25, 1, 820.
Research output: Contribution to journal › Article › peer-review

Open Access

Why university festivals matter more than ever in K-pop
Lee, S.
8/05/26
1 item of Media coverage
Press/Media
Kyung Hee University Researchers Publish New Data on COVID-19 (Enhancing time-varying reproduction number estimates for COVID-19 with behavior and surveillance data in South Korea, 2020-2022)
Lee, S.
10/04/26
1 item of Media coverage
Press/Media
Data on CDC and FDA Reported by Researchers at Kyung Hee University (Integrating viral kinetics and population spread in a one health framework to explain variant-specific epidemic dynamics)
Lee, S.
6/04/26
1 item of Media coverage
Press/Media
Reports on COVID-19 Findings from Kyung Hee University Provide New Insights (Enhancing Influenza-Like Illness forecasting: An ensemble approach combining mathematical and deep learning models amidst the COVID-19 pandemic)
Lee, S.
18/03/26
1 item of Media coverage
Press/Media
Investigators at Kyungpook National University Zero in on COVID-19 (COVID-19 transmission dynamics: age-specific patterns and super spreaders in South Korea)
Lee, S.
6/03/26
1 item of Media coverage
Press/Media

Sunmi Lee

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

Epidemic control under hidden transmission and network heterogeneity using individual-based modeling and reinforcement learning

A mobility-adjusted framework for regional R_t estimation: enhancing spatial interpretation of transmission dynamics

A novel approach to estimating R_t through infection networks: understanding regional transmission dynamics of COVID-19

COVID-19 severity analysis for clinical decision support based on machine learning approach

Impact of imported COVID-19 cases on South Korea’s response: variant transitions and regional patterns (2020–2023)

Why university festivals matter more than ever in K-pop

Kyung Hee University Researchers Publish New Data on COVID-19 (Enhancing time-varying reproduction number estimates for COVID-19 with behavior and surveillance data in South Korea, 2020-2022)

Data on CDC and FDA Reported by Researchers at Kyung Hee University (Integrating viral kinetics and population spread in a one health framework to explain variant-specific epidemic dynamics)

Reports on COVID-19 Findings from Kyung Hee University Provide New Insights (Enhancing Influenza-Like Illness forecasting: An ensemble approach combining mathematical and deep learning models amidst the COVID-19 pandemic)

Investigators at Kyungpook National University Zero in on COVID-19 (COVID-19 transmission dynamics: age-specific patterns and super spreaders in South Korea)

Sunmi Lee

Fingerprint

Collaborations and top research areas from the last five years

Research output

Press/Media