● 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.

● 자기소개
현재 한양대학교 자연과학대학 수학과 교수로 재직 중인 차경준 교수는 한양대학교를 졸업하고 University of Wisconsin-Madison에서 통계학으로 석사와 Southern Methodist University에서 통계학으로 박사학위를 취득하였다.Journal of Statistical Planning and Inference, Molecules and Cells, International Journal of Gynecology & Obstetrics 등과 한국통계학회 논문집, 한국자료정보학회 논문집 등에 60여편의 논문을 발표하였으며 주요 저서로는 ‘고학/자연계를 위한 확률 및 통계’, R과 통계계산‘, ’엑셀을 활용한 경영통계학‘ 등이 있다.

● 학력
    - 1981, 한양대학교 이학사
    - 1985, University of Wisconsin-Madison, 통계학 석사
    - 1990, Southern Methodist University, 통계학 박사

● 경력
    - 1990-1993, 세종대학교 응용통계학과 조교수
    - 1993-현재, 한양대학교 수학과 교수

● 연구관심분야
    - 통계계산, 비모수통계학, 회귀분석, 금융통계

● 주요논문
    - Development of discriminant analysis system by graphical user interface of visual basic, 한국데이터정보과학회 논문집, 2007.
    - 문항반응이론에서 피험자 능력 및 문항모수 추정 알고리즘 개발, 한국통계학회 논문집, 2008

● 주요저저
    - 공학/자연계를 위한 확률 및 통계
    - R과 통계계산
    - Excel을 활용한 경영통계학

● 수상경력
    - 제 2회 대한주산의학회 학술상, 2001
    - 논문 발표상, 한국데이터정보과학회, 2008

● 학회활동
    - 한국통계학회
    - 미국통계학회
    - 한국품질경영학회