Sangahn Kim

My Professional Experience

Articles & Book Reviews

• High-Speed Monitoring of Multi-Dimensional Processes in Bayesian Framework
  IEEE Access
  September, 2022
• Mathematical Modeling of Optimal Allocation of Remote Workforce: An Interdisciplinary Investigation with Hofstede's Cultural Factors and Managerial Ability
  Cross Cultural & Strategic Management, vol. 30
  April, 2022
• Multi-class Bayesian support vector data description with anomalies
  Annals Of Operations Research
  November, 2021
• Bayesian sequential update for monitoring and control of high-dimensional processes
  Annals Of Operations Research
  July, 2021
• Phase-I monitoring of high-dimensional covariance matrix using an adaptive thresholding LASSO rule
  Computers & Industrial Engineering, vol. 144
  June, 2020
• Generalized support vector data description for anomaly detection
  Pattern Recognition, vol. 100
  April, 2020
• An Adaptive Thresholding-based Process Variability Monitoring
  Journal Of Quality Technology, vol. 51
  July, 2019
• Control charts for variability monitoring in high-dimensional processes
  Computers & Industrial Engineering, vol. 130
  April, 2019
• Variable selection-based SPC procedures for high-dimensional multistage processes
  Journal of Systems Engineering and Electronics, vol. 30
  February, 2019
• Bayesian framework for fault variable identification
  Journal Of Quality Technology, vol. 51
  October, 2018
• Generalized smoothing parameters of multivariate EWMA control chart
  IIE Transactions, vol. 49
  June, 2017
• Variable selection based multivariate cumulative sum control chart
  Quality And Reliability Engineering: International, vol. 33
  2017
• Distribution-free adaptive step-down procedure for fault identification
  Quality And Reliability Engineering: International
  2016
• Two-class M/G/1 queue under workload control
  International Journal of Modeling, Identification and Control
  2009
• Analysis and cost optimization of the M/G/1 queue under the D-policy and LCFS discipline
  Stochastic Analysis and Applications
  2008
• A penalized likelihood based monitoring via L2-norm regularization for high-dimensional processes
  Journal Of Quality Technology, vol. 52
  Fall, 2020
• Monitoring and control of beta-distributed multistage production processes
  Quality Technology and Quantitative Management, vol. 16
  Winter, 2019

Awards & Distinctions

• COTFD Research Fellowship Award
  Category: Research
  Siena College, 2021
• Effects of Culture and management Ability on Remote Working Development
  Category: Research
  Academy of Business Research Conference, 2021
• COTFD Pedagogy Fellowship Award
  Category: Teaching
  Siena College, 2020
• COTFD Research Fellowship Award
  Category: Research
  Siena College, 2020
• Research Excellence Award
  Category: Research
  Siena College School of Business, 2020
• Conference Travel Funding Award
  Category: Research
  Rutgers University, 2017
• TA/GA Professional Development Fund Award
  Category: Teaching-Research
  Rutgers University, 2017
• Best Ph.D. Student Award
  Category: Research
  Rutgers University, 2016
• Richard A. Freund International Scholarship
  Category: Research
  American Society for Quality (ASQ), 2016
• Tayfur Altiok Memorial Scholarship
  Category: Research
  Rutgers University, 2016

Presentations

• A new data-driven multivariate process capability index
  2023
  Institute for Operations Research and The Management Sciences Annual Meeting, Phoenix, Texas
• Bayesian Update for Multivariate Process Monitoring and Control
  October, 2021
  Institute for Operations Research and The Management Sciences Annual Meeting, Anaheim, California
• Effects of Culture and Management Ability on Remote Working Development
  October, 2021
  Academy of Business Research, San Antonio, Texas
• An Efficient Process Monitoring Scheme in Bayesian Framework
  2021
  IISE Transactions, Montreal, Canada
• Monitoring and control of high-dimensional data via sparse group lasso
  October, 2019
  Institute for Operations Research and The Management Sciences Annual Meeting, Seattle, United States of America
• Mixed penalized likelihood for monitoring grouped high-dimensional processes
  June, 2019
  INFORMS International Meeting, Cancun, Mexico
• An efficient monitoring of variance in high-dimensional process
  November, 2018
  Institute for Operations Research and The Management Sciences Annual Meeting, Phoenix, United States of America
• Online Bayesian learning process monitoring and control
  October, 2017
  Institute for Operations Research and The Management Sciences Annual Meeting, Houston, United States of America
• Statistical process monitoring of high-dimensional processes
  May, 2017
  American Statistical Association, New Brunswick, United States of America
• An efficient statistical quality control scheme for high-dimensional process
  November, 2016
  Institute for Operations Research and The Management Sciences Annual Meeting, Nashville, United States of America
• Variable selection based EWMA for high dimensional multistage processes
  2016
  INFORMS International Meeting, Hilton Waikoloa Village, United States of America
• Multistage process monitoring through MEWMA control chart with generalized smoothing parameters
  November, 2015
  Institute for Operations Research and The Management Sciences Annual Meeting, Philadelphia, United States of America
• Variable selection-based SPC procedures for high-dimensional multistage processes
  2015
  International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering, Beijing, China
• Two class M/G/1 queue under workload control
  2008
  International Conference on Modeling, Identification and Control, Shanghai, China
• Analysis of the two-class M/G/1 non=preemptive priority queue under the D-policy
  2007
  International Multi Conference on Engineers and Computer Scientists, Hong Kong, China
• The M/G/1 queueign system under the double workload threshold (delta, D)-policy
  2007
  International Conference on Industrial Engineering and Systems Management, Beijing, China