● 학력
    - 2000 이화여자대학교 통계학과 이학사
    - 2002 이화여자대학교 통계학과 이학석사 (Advisor: Dong-wan Shin)
    - 2008 North Carolina State University (USA) 통계학과 이학박사 (Advisor: Montserrat Fuentes)

● 경력
    - 2009 고려대학교 연구교수
    - 2010-2012 Post-doctoral Scholar at Medical University of South Carolina, USA (PI: Andrew B. Lawson)
    - 2013 고려대학교 연구강사
    - 2013-2018 한양대학교 자연과학대학 수학과 조교수
    - 2018-2023 한양대학교 자연과학대학 수학과 부교수
    - 2023- 현재 한양대학교 자연과학대학 수학과 교수

● 연구분야
    - Spatial statistics, Bayesian statistics, Spatial-temporal modeling, Environmental statistics, and Spatial epidemiology.

● 주요논문
    - Jeong, J., Kim, M. and Choi, J. (2023). Investigating the spatio-temporal variation of Hepatitis A in Korea using a Bayesian model. Frontiers in Public Health, Frontiers in Public Health, 10, 1085077.
    - Kang, D., Choi, H., Kim, J.H. and Choi, J. (2020). Spatial epidemic dynamics of the COVID-19 outbreak in China. International Journal of Infectious Diseases, 94, 96-102.
    - Eom, J.K., Choi, J., Park, M.S. and Heo, T.Y. (2019). Exploring the catchment area of an urban railway station by using transit card data: Case study in Seoul. Cities, 95, 102364.
    - Lee, E.Y., Lee, S., Choi, B.Y. and Choi, J. (2019). Influence of neighborhood environment on Korean adult obesity using a Bayesian spatial multilevel model. International Journal of Environmental Research and Public Health, 16, 3991.
    - Choi, J. and Lawson, A.B. (2019). A Bayesian two-stage spatially dependent variable selection model for space–time health data. Statistical Methods in Medical Research, 28, 2570-2582.
    - Kang, D. and Choi, J. (2018). Bayesian zero-inflated spatio-temporal modelling of scrub typhus data in Korea, 2010-2014. Geospatial Health, 13, 215-223.
    - Choi, J. and Andrew, A.B, (2018). Bayesian spatially dependent variable selection for small area health modeling.  Statistical Methods in Medical Research, 27, 234-249.
    - Choi, J. (2014). Bayesian Spatiotemporal Modeling in Epidemiology: Hepatitis A Incidence Data in Korea. The Korean Journal of Applied Statistics, 27, 933-945.
    - Lawson, A.B., Choi, J., Zhang, J. (2014). Prior choice in Discrete latent modeling of spatially-referenced cancer survival. Statistical Methods in Medical Research, 23, 183-200.
    - Choi, J., Andrew, A.B, Cai, B., Hossain, M.M. Kirby, R.S. and, Liu, J. (2012). A Bayesian latent model with spatio-temporally varying coefficients in low birth weight incidence data. Statistical Methods in Medical Research. 21, 445-456.
    - Lawson, A.B., Choi, J., Cai, B., Hossain, M.M., Kirby, R.S., and Liu, J. (2012). Bayesian 2-Stage space-time mixture modeling with spatial misalignment of the exposure in small area health data. Journal of Agricultural, Biological, and Environmental Statistics. 17, 417-441.
    - Choi, J., Lawson, A.B., Cai, B., and Hossain, M.M. (2011). Evaluation of Bayesian spatiotemporal latent models in small area health data. Environmetrics, 22, 1008-1022.
    - Kirby, R.S., Liu, J., Lawson A. B., Choi, J., Cai, B., and Hossain M.M. (2011). Spatio-temporal Patterning of Small Area Low Birth Weight Incidence and Its Correlates: A Latent Spatial Structure Approach. Journal of Spatial and Spatio-temporal Epidemiology, 2, 265-271. (corresponding author)
    - Choi, J., Reich, B.J., Fuentes, M., and Davis, J.M. (2009). Multivariate spatial-temporal modeling and prediction of speciated fine particles. Journal of Statistical Theory and Practice 3, 407-418.
    - Choi, J., Fuentes, M., and Reich, B.J. (2009). Spatial-temporal association between fine particulate matter and daily mortality. Computational Statistics and Data Analysis 53, 2989-3000.

● 학력
    - 2008.02. 서울시립대학교 통계학과 학사
    - 2010.02. 고려대학교 통계학과 석사
    - 2015.08. Texas A&M University 통계학과 박사

● 경력
    - 2015.10.-2018.08. Postdoctoral Fellow at King Abdullah University of Science and Technology, KSA
    - 2018.09.-2020.08. Assistant Professor of Statistics at University of Maine, USA

● 연구관심분야
    Spatial statistics, Space-time data on the globe, Non-Gaussian processes, Financial statistics

● 논문
    -Jeong, J. and Chang, W. (2023), "Analysis of East Asia Wind Vectors Using Space–Time Cross-Covariance Models",Remote Sensing, 15(11), 2860.
    -Lee, Y., Kim, N., Jeong, J., and Kwak, I. (2023), "Experimental Case Study of Self-supervised Learning for Voice Spoofing Detection",IEEE Access, 11, 24216-24226.
    -Jeong, J., Kim, M., and Choi, J. (2023), "Investigating the spatio-temporal variation of Hepatitis A in Korea using a Bayesian model",Frontiers in Public Health, 10, 1085077.
    -Yan, Y., Jeong, J., and Genton, M. G. (2020), "Multivariate Transformed Gaussian Processes", Japanese Journal of Statistics and Data Science, 3, 129-152.
    - Jeong, J., Yan, Y., Castruccio, S., and Genton, M. G. (2019), "A stochastic generator of global monthly wind energy with Tukey g-and-h autoregressive processes", Statistica Sinica, 29(3), 1105-1126.
    - Genton, M. G. and Jeong, J. (2018), comment on "Mission CO2ntrol: A statistical scientist's role in remote sensing of atmospheric carbon dioxide," by N. Cressie, Journal of the American Statistical Association, 113(521), 176-178.
    - Jeong, J., Castruccio, S., Crippa, P., and Genton, M. G. (2018), "Reducing storage of global wind ensembles with stochastic generators", The Annals of Applied Statistics, 12(1), 490-509.
    - Jeong, J., Jun, M., and Genton, M. G. (2017), "Spherical process models for global spatial statistics", Statistical Science, 32(4), 501- 513.
    - Jeong, J. and Jun, M. (2015), "Covariance models on the surface of a sphere: when does it matter?", Stat, 4(1), 167-182.
    - Jeong, J. and Jun, M. (2015), "A class of Matern-like covariance functions for smooth processes on a sphere", Spatial Statistics, 11, 1- 18.
    - Song, S., Jeong, J., and Song, J. (2011), "Asymptotic option pricing under pure-jump Levy processes via nonlinear regression", Journal of Korean Statistical Society, 40(2), 227-238.

● 학력
    - Ph.D., Statistics, Seoul National University, Seoul, Korea, 2019.
    - B.S., Mathematical Sciences (Double Major with Management Sciences), KAIST, Daejeon, Korea, 2013.

● 경력
    - Assistant Professor, Department of Mathematics and Department of Applied Statistics, Hanyang University, Seoul, Korea, March 2023 ~
    - Assistant Professor, Department of Information Statistics, Chungbuk National University, Cheongju, Korea, March 2021 ~ February 2023.
    - Post-Doctoral Research Fellow, Pacific Climate Impacts Consortium, University of Victoria, Victoria, British Columbia, Canada, August 2019 ~ January 2021.

● 연구관심분야
    Spatio-temporal data analysis and extreme value statistics, application to environmental and public health data

● 논문
    - S. Kang, K. Kim, Y. Kwon, S. Park, S. Park, H-Y. Shin, J. Kim
 and H-S. Oh (2025). Semiparametric approaches for the inference of univariate and multivariate extremes. Extremes, 28(1), 123–148. 
    - B. Lee, H-D. Sou, P. Yeon, H. Lee, C-R. Park, S. Choi and S. Park  (2024). Seasonal Characteristics of Particulate Matter by Pollution Source Type and Urban Forest Type. Applied Sciences, 14(21), 9988.
    - S. Cho, D-K. Kim, M-C. Song, E. Lee, S. Park, D. Chung and J. Ha
 (2024). Deciphering changes in the incidence of hemorrhagic stroke and cerebral venous sinus thrombosis during the coronavirus disease 2019 pandemic: a nationwide time-series correlation study. PLOS ONE, 19(10), e0301313.
    - H. Lee, D. Kwon, S. Park, S-R. Park, D. Chung and J. Ha (2023). Temporal association between age-specific incidence of Guillain–Barré syndrome and SARS-CoV-2 vaccination; a nationwide time-series correlation study, Osong Public Health and Research Perspectives, 14(3), 224–231.
    - J. Lee and S. Park (2023). Prediction of sharp change of particulate matter in Seoul via quantile mapping, Communications for Statistical Applications and Methods, 30(3), 259–272.
    - B. Lee, P. Yeon and S. Park (2022). The factors and relationships influencing urban hiking exercise characteristics after COVID-19 occurrence: at Seoul Metropolitan Area and in their 20s and 30s, International Journal of Environmental Research and Public Health, 19(24), 16403.
    - S. Cho, Y-M. Kim, G. Seong, S. Park, S. Park, S-E. Lee and Y. Park (2022). Analysis of on-ship transmission through cases of COVID-19 mass outbreak on Republic of Korea Navy Amphibious Warfare ship. Epidemiology and Health, 44, e2022065.
    - S. Lee, S. Park and Y. Lim (2022). Prediction of extreme PM2.5 concentrations via extreme quantile regression. Communications for Statistical Applications and Methods, 29(3), 319–331.
    - S. Park and H-S. Oh (2022). Lifting scheme for streamflow data in river networks. Journal of the Royal Statistical Society: Series C (Applied Statistics), 71(2), 467–490. .
    - J. Kim, S. Park, J. Kwon, Y. Lim and H-S. Oh (2021). Estimation of spatio-temporal extreme distribution using a quantile factor model. Extremes, 24(1), 177–195.
    - S. Park , J. Kwon, J. Kim and H-S. Oh (2018). Prediction of extremal precipitation by quantile regression forests: from SNU Multiscale team. Extremes, 21(3), 463–476.
    - S. Park and H-S. Oh (2017). Spatio-temporal analysis of particulate matter extremes in Seoul: use of multiscale approach. Stochastic Environmental Research and Risk Assessment, 31(9), 2401–2414.

A paragraph is a self-contained unit of a discourse in writing dealing with a particular point or idea. Paragraphs are usually an expected part of formal writing, used to organize longer prose.

A paragraph is a self-contained unit of a discourse in writing dealing with a particular point or idea. Paragraphs are usually an expected part of formal writing, used to organize longer prose.

A paragraph is a self-contained unit of a discourse in writing dealing with a particular point or idea. Paragraphs are usually an expected part of formal writing, used to organize longer prose.

A paragraph is a self-contained unit of a discourse in writing dealing with a particular point or idea. Paragraphs are usually an expected part of formal writing, used to organize longer prose.

A paragraph is a self-contained unit of a discourse in writing dealing with a particular point or idea. Paragraphs are usually an expected part of formal writing, used to organize longer prose.

● Introduction
Professor Cha Kyung-Joon teaches statistics courses at the College of Natural Sciences of Hanyang University. He received the B.A. from Hanyang University, a M.S. in Statistics from University of Wisconsin-Madison and a Ph.D. in Statistics from the Southern Methodist University. 
Professor Cha has taught various statistics courses such as Principles of Statistics, Statistical Computations, Mathematical Statistics and Statistical Analysis. Professot Cha is the author and co-author of a few books, such as, `Statistics and Probability for Engineerings and Natural Sciences`, `R and Statistical Computations`, and `Business Statistics using Excel`.

● Education
    - Ph.D. Southern Methodist University, 1990(Statistics)
    - M.S. University of Wisconsin-Madison, 1985(Statistics)
    - B.A. Hanyang University, 1981(Mathematics)
    - 1993-present, Professor of Mathematics, Hanyang University
    - 1990-1993, Assistant Professor of Applied Statistics, Sejong University

● Research Interest
    - Statistical Computations, Nonparametric Statistics, Regression Analysis, Financial Engineering

● Selected Articles
    - Nonparametric krnel regression estimation near endpoints, J. of Statistical Planning and Inference, 1998.
    - Patterns in small-for-gestational age fetus, J. of Perinatal Medicine, 2007

● Selected Books
    - Probability and Statistics for Engineerings and Natural Sciences
    - R and Statistical Computations
    - Business Statistics using Excel

● Honors and Awards
    - IJGO Prize paper Award, Internation J. og Gynecology & Obstetrics, 2001

● Academic Service
    - Korean Statistical Society
    - American Statistical Society
    - Korean Society for Quality Managemant