• 경북대 통계학과 박사과정 (2022.03 ~)

• Early detection of COVID-19 outbreaks using machine learning methods

• Publications: 

[1] G. Cho*, J. R. Park*, Y. Choi, H. Ahn, H. Lee,Detection of COVID-19 epidemic outbreak using machine learning, Frontiers in Public Health, 2023. 

[2] H. Lee, S. Kim, M. Jeong, E. Choi, H. Ahn, J. Lee, Mathematical modeling of COVID-19 transmission and intervention in South Korea: a review of literature, Yonsei Medical Journal, 2023.

[3] H. Ahn, H. Lee, Predicting the transmission trend in COVID-19: an interpretable machine learning approach on daily cases, deaths, and imported cases, Mathematical Biosciences and Engineering, 2024

• Awards: 2022 경북대 자연대 학부인턴십 우수상 (2nd prize) 

• 경북대 통계학과 석사과정 (2023.03 ~2025.02예정)

• Publications

(Under-review) G. Jang, J. Seo, and H. Lee, Analyzing the impact of COVID-19 on seasonal infectious disease outbreak detection using hybrid SARIMAX-LSTM model

• Awards: 

2024 한국산업응용수학회 포스터발표 우수상

2023 영남수학회 포스터발표 우수상  (2nd prize)

• 경북대 통계학과 석사과정 (2023.09 ~2025.02예정)

• 경북대 통계학과 학석사과정 (2022.09 ~ 2023.08)

• 경북대 통계학과 학부연구원 (2022.05 ~ 2022.08)

• Publications

[1] (Under-review) G. Jang, J. Kim, and H. Lee, Assessing the age-specific vaccination strategies for COVID-19 pandemic by different regions in Korea, 2024

[2] G. Jang, J. Kim, Y. Lee, C. Son, K. T. Ko, and H. Lee, Analysis of the impact of COVID-19 variants and vaccination on the time-varying reproduction number: Statistical methods,  Frontiers in Public Health, 2024

• Awards: 

2023 영남수학회 포스터발표 장려상

2022 경북대 자연대 학부인턴십 우수상 (2nd prize)

• 경북대 통계학과 석사과정 (2023.09~2025.08예정)

• 경북대 글로벌소프트웨어학과 학부연구원 (2022.05 ~ 2023.08)

• Publications:

G. Jang, J. Kim, Y. Lee, C. Son, K. T. Ko, and H. Lee, Analysis of the impact of COVID-19 variants and vaccination on the time-varying reproduction number: Statistical methods, Frontiers in Public Health, 2024

• Homepage

• Sleep-pattern analysis from the individual data of nurses

• 경북대 통계학과 석사과정 (2024.03~2025.08예정)

• 경북대 통계학과 학석사과정 (2023.03 ~2024.02)

• 경북대 통계학과 학부연구원 (2022.05 ~ 2023.02)

• Publications:

G. Jang, J. Kim, Y. Lee, C. Son, K. T. Ko, and H. Lee, Analysis of the impact of COVID-19 variants and vaccination on the time-varying reproduction number: Statistical methods, Frontiers in Public Health,2024

• Mobility pattern with COVID-19 transmission dynamics using SKT mobile data

• Awards: 

2023 영남수학회 포스터발표 장려상 with 김지현, 고경태, 이연수

• 경북대 통계학과 석사과정 (2024.03~2025.08예정)

• 경북대 통계학과 학석사과정 (2023.09 ~2024.02)

• 경북대 통계학과 학부연구원 (2023.01 ~ 2023.08)

• Impact of transmission using viral load data

• 경북대 통계학과 석사과정  (2024.03~2026.02예정)

• 경북대 통계학과 학석사과정 (2022.09 ~)

• Publications:

[1] K. Ko, Y. Choi, J. Oh, and H. Lee, Identifying the risk clusters for African Swine Fever in Korea via statistical analysis, Frontiers in Veterinary Medicine, 2024

[2] G. Jang, J. Kim, Y. Lee, C. Son, K. T. Ko, and H. Lee, Analysis of the impact of COVID-19 variants and vaccination on the time-varying reproduction number: Statistical methods, Frontiers in Public Health,2024

[3] (Submitted) S. Yi*, K. T. Ko*, M. Ha, S. Park , J. Oh, J.-H. Yoon and H. Lee, Economic Impact on Industries Using Card Transaction Data During the COVID-19 Pandemic in South Korea, 2024

• Awards: 

2023 통계콘서트 최우수상

2023 경북대 자연대 기초과학 학부생 발표대회 대상

• 경북대 통계학과 학석사과정 (2023.03 ~)

• Publications:

[1] K. Ko, Y. Choi, J. Oh, and H. Lee, Identifying the risk clusters for African Swine Fever in Korea via statistical analysis, Frontiers in Veterinary Medicine, 2024

[1] (Under-review) G. Jang*, S. Hong*, J. Oh, Y.-I. Kim, M. Kim*, and H. Lee*, Statistic Analysis of the association between El Niño and the Biological Carbon Pump in East Sea (Japan Sea), 2024

[2] (Submitted) S. Yi*, K. T. Ko*, M. Ha, S. Park , J. Oh, J.-H. Yoon and H. Lee, Economic Impact on Industries Using Card Transaction Data During the COVID-19 Pandemic in South Korea, 2024

• Awards: 

2023 영남수학회 포스터발표 최우수상(1st prize) with 고경태

     2023 통계콘서트 최우수상