• "Geometric Programming in Statistics", Tutorial, 2008-Spring Korean Statistical Society Meeting, May, 2008.


• "Prediction in Chain Ladder Method with Unknown Change Points", Statistics, Soongsil Univ., May, 2008.


• "Large Scale Covariance Matrix Estimation", Applied Statistics, Konkuk Univ., Nov, 2008.


• "Large Scale Covariance Matrix Estimation", CSA meeting, Taipei, Taiwan, Dec, 2008.


• "Estimation of Stochastically Ordered Survival Functions Via Geometric Programming", ISM-APRM, June, 2009.


• "Large Scale Covariance Matrix Estimation", Management Science, Sogang Univ., Sep, 2009.


• "Ideal Point Estimation of Korean National Assembly" Tutorial, 2010-Spring Meeting of Society of BI-Data mining, April, 2010.


• "Ranked Set Sampling" Nonparametric Stat. Conference, Columbus, OH, May, 2010.


• "Ranked Set Sampling", Order Stat. Conference, Cairo, Egypt, July, 2010.


• "Ranked Set Sampling", JSM-2010, Vancouver, CA, Aug, 2010.


• "Ideal Point Estimation of Korean National Assembly", Statistics, Dongguk Univ., Oct, 2010.


• "Large Scale Covariance Matrix Estimation", Applied Statistics, Sungkyunkwan Univ., Oct, 2010.


• "Large Scale Covariance Matrix Estimation", Statistics, UMBC, Jan, 2011.


• "Classification with an Image Predictor", 2011-Spring Korean Statistical Society Meeting, May, 2011.


• "Large Scale Statistical Inference", Dynamic System in Brain: Mathematical Approach, NIMS, June, 2011.


• "Large Scale Statistical Inference", Joint Workshop of Korean Statistics and Econometrics, June, 2011.


• "Intensive Courses on Statistical Methods for Brain Data", SRC(Data Science) and NIMS, Oct., 2011. (Organizer)


• "Brain Data Analysis", KSS-fall meeting, Nov., 2011.


• "Isotonized Mean Estimation for Ranked Set Sampling", OSDA, Hong Kong, Dec., 2011.


• "Ranked Set Sampling", IMS-APRM, Tokyo, Japan, July, 2012.


• "Ranked Set Sampling", JSM-2012, San Diego, USA, July, 2012.


• "Two Sample Test for Mixed Type Data", ICSA-JSS-KSS meeting, Hokaido, Japan, Sep, 2012.


• "Large Scale Covariance Matrix Estimation",IMS-FPS, Singapore, June, 2013.


• "Regularized T-test for High-dimensional Partially Paired Data", IASC meeting, Seoul, Korea, Aug., 2013.


• "Inference on Large Scale Covariance Matrix", 1st joint meeting of KAS-NAS, Irvine, CA, Aug, 2013.


• "HORSES: Fused Lasso Regression", World Statistics Congress, Hong Kong, Aug., 2013.


• "Introduction to High Dimensional Analysis", Annual Meeting of Korean Pharm. Society, Dec., 2013.


• "Recent Advances on Fused Lasso Regression", Fall Meeting of KSS, Nov., 2013.


• "RSS t-approximation in RSS", Order Statistics Meeting, Dallas, Mar. 2014.


• "Recent Advances on Fused Lasso Regression", Prob. Stat. Day, UMBC, Apr. 2014.


• "OC meeting of 2nd Kavli Symposium of KAS-NAS.", Hawaii, May, 2014.


• "Regression with Ranks", KISS-ICSA joint meeting, Portland, OR, June, 2014.


• "High-dimensional Covariance Matrix Estimation", Cheongju, KSS 2015-spring meeting, May, 2015.


• "OC of 2nd Kavli Joint Symposium of KAS-NAS", Jeju, June, 2015.


• "High-dimensional Covariance Matrix Estimation", Hong Kong, the 4-th IMS-APRM, June, 2016.


• "Separable Covariance Matrix", Seville, Spain, Dec. 2016.


• "Statistical Disclosure Control for Financial Data", Special Lecture for The Korean Money and Finance Association, June, 2017.


• "High-dimensional Covariance Matrix and Portfolio Optimization", 7th IMS-FIPS, Baltimore, July, 2017.


• "PD covariance matrix". Joint Statistical Meeting, Baltimore, MD, July, 2017.


• "PD covariance matrix", Statistics, Sungkyunkwan University, Nov. 2017.


• Organizer of the session "High-dimensional covariance matrix and its application." 2017 IASC-ARS meeting, Auckland, NZ. Dec., 2017.


• "Discussion on FastLink" by Kosuke Imai 2018 Asian PolMeth V Conference In Seoul Jan. 2018, SNU.


• Organizer of the session "Order related statistical inference." 2018 EcoSta meeting, Hong Kong, June. 2018.


• "High Dimensional Covariance Matrix and Portfolio Optimization", JSM 2018, Aug. 2018, Vancouver, CA.


• "Self-semi-supervised clustering of large scale data with a massive null", 3rd EcoSta Meeting. June 2019, Taichung, Taiwan.


• Organizer of "Order related statistical inference", 3rd EcoSta Meeting. June 2019, Taichung, Taiwan.


• "Ranked set sampling" the 62nd ISI World Statistics Congress,Aug. 2019. Kuala Lumpur, Malaysia.


• "PD modification of regularized covariance matrix - extension", 2019-Fall, Korean Statistical Meeting.


• "PD modification of regularized covariance matrix - extension", the 11th ICSA international confernece, Hangzhou. China.


• COVID-19 discussion by KAST, Mar, 2020.


• "TBA", EcoStat 2020, July, 2020, Seoul, Korea.


• Chair of the session "Order restricted statistical inference", JSM 2020, Aug. 2020. Philadelphia, USA.


• Local OC of World Congress of Probability of Statistics-2020, Aug. 2020, Seoul, Korea.


• Local OC "World Congress of Probability and Statistics, 2021", July. 2021, Seoul, Korea.


• 63rd ISI-WSC session organizer of "Inference on highdimensional covariance matrix", July, Virtual


• "Bayesian Meta Aanlysis" Ecosta 2022, July. 2022, Kyoto, Japan.


• Chair of the Round Table Discussion on the Futher of Math and AI by KAST, Nov 2023.


• Data Valuation   KFA and FISA joint symposium, June, 2023, Seoul.


• PDness of High Dimensional Covariance Matrix Estimation, BK seminar, Yonsei Univ., July, 2023.


• "l1 Spatial Voting Theory", ISI-WSC, July, 2023, Ottawa, CA.


• Section organizer "High Dimensional Regression in Biomedical Application", Ecosta 2023, Aug, 2023, Tokyo, Japan.


• Section organizer "High Dimensional Regression and its Application", IMS-APRM 2024, Jan, 2024, Melbourne, AU.


• "HMM and its Application to Multiple Testing", ENAR 2024, March, 2024, Baltimore, USA.


• "l1-norm based ideal point estimation", ECOSTA 2024, June, 2024, Beijing, China.

Teaching

• Computational Statistics (08-Fall).


• Applied Statistics(Grad) (09-Spring), Elementary Statistics (09-Spring).


• Advanced Stat. Method.(Grad) (09-Fall), Elementary Statistics (09-Fall).


• Applied Statistics(Grad) (10-Spring), Freshman Seminar(10-Spring).


• Advanced Stat. Method.(Grad) (10-Fall), Computational Statistics (10-Fall), Fresehman Seminar(10-Fall).


• Applied Statistics(Grad) (11-Spring), Experimental Design (11-Spring).


• Advanced Stat. Method.(Grad) (11-Fall), Survey Sampling (11-Fall).


• Applied Statistics(Grad) (12-Spring), Freshman Seminar (12-Spring).


• Computational Statistics (12-Fall), Freshman Seminar (12-Fall).


• Design of Experiment (13-Spring), Freshman Seminar (13-Spring).


• Multivariate Statistics (13-Fall), Seminar on Theoretical Statistics (Grad) (13-Fall).


• Intro. Stat. (15-Spring), Probability Theory 1 (Grad) (15-Spring).


• Multivariate Statistics (15-Fall), Statistical Consulting (Grad) (15-Fall).


• Intro. Stat. (16-Spring), Freshman Seminar (Grad) (16-Spring).


• Multivariate Statistics (16-Fall), Statistical Consulting (Grad) (16-Fall).


• Intro. Stat. (17-Spring).


• Multivariate Statistics (17-Fall).


• Design of Experiments (18-Spring).


• Multivariate Statistics (18-Fall).


• Probability Theory (Grad) (19-Spring).


• Sampling Theory (19-Fall), Statistical Consulting (Grad) (19-Fall).


• Probability Theory (Grad) (20-Spring), Freshman Seminar for Grad. (20-Spring).


• Applied Statistics (Grad) (22-Spring), Regression Analysis (22-Spring).


• Stat. Consulting, Grad. Freshman Seminar (Grad) (23-Spring), DOE (23-Spring).


• Stat. Consulting (Grad) (23-Fall), Statistical Process Control (23-Fall).


• Applied Statistics (Grad) (24-Spring), DOE (24-Spring).