Rutgers School of Business – Camden

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Dr. Jinho Kim

Instructor of Professional Practice (Sabbatical Spring 2026)

Management - Operations Management

Phone: 609-751-8302

Email: jinhokim@rutgers.edu

Ph.D., Rutgers University

View CV PDF

Dr. Jinho Kim received his Ph.D. in Industrial and Systems Engineering from Rutgers Business School. His research focus is in the areas of machine learning, statistical process control, and monitoring for applications in advanced manufacturing. He has taught courses in optimization, operations management, and applied business statistics, among others, in both in-person and online modalities.

Teaching

  • Optimization and Spreadsheets
  • Operations Management (online)
  • Applied Business Statistics (online)

Representative Publications

  • Tosyali, A., Kim, J., Choi, J., Jeong, M. K., “New node anomaly detection algorithm based on nonnegative matrix factorization for directed citation networks.” Annals of Operations Research, 288(1), 457-474, 2020.
  • Abdella, G., Kim, J., Al-Khalifa, K. N., Jeong, M. K., Hamouda, A. M. S., Elsayed, E. A., “An Adaptive Thresholding-Based Process Variability Monitoring.” Journal of Quality Technology, 51(3), 242-256, 2019.
  • Kim, J., Abdella, G. M., Al-Khalifa, K. N., Hamouda, A. M. S., “Control charts for variability monitoring in high-dimensional processes.” Computers & Industrial Engineering, 130, 309-316, 2019.
  • Tosyali, A., Kim, J., Choi, J., Jeong, M. K., “Regularized asymmetric nonnegative matrix factorization for clustering in directed networks.” Pattern Recognition Letter, 125, 750-757, 2019.
  • Abdella, G., Kim, J., Al-Khalifa, K. N., Hamouda, A. M. S., “Penalized Conway-Maxwell-Poisson Regression for Modelling Dispersed Discrete Data: The Case Study of Motor Vehicle Crash Frequency.” Safety Science, 120,157-163, 2019.
  • Kim, S., Kim, J., Jeong, M. K., Al-Khalifa, K. N., Hamouda, A. M. S., Elsayed, E. A., “Monitoring and control of beta-distributed multistage production processes.” Quality Technology & Quantitative Management, 16(1), 1-18, 2019.
  • Kim, J., Jeong, M. K., Elsayed, E. A., “Monitoring multistage processes with autocorrelated observations.” International Journal of Production Research, 55(8), 2385-2396, 2017.
  • Abdella, G., Kim, J., Hamouda, A. M. S., Al-Khalifa, K. N.,“Double EWMA-Based Polynomial Quality Profiles Monitoring.” Quality and Reliability Engineering International, 32(8), 2639-2652, 2016.
  • Kim, J., Al-Khalifa, K. N., Jeong, M. K., Hamouda, A. M. S., Elsayed, E. A., “An Adaptive Step-Down Procedure for Fault Variable Identification.” International Journal of Production Research, 54(11), 3187-3200 , 2016.

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BLDP Executive Shadowing Application v2

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If I am chosen and matched with an executive, I will follow through and prepare a one-page report giving honest feedback about the experience. The written summary is due by the start of the next semester. By typing my name in the box to the right I am offering my digital signature in lieu of my handwritten signature.

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After notified of a match, students are responsible for providing personal information to the matched executive (e.g., current resume and cover letter with information on career ambitions). The information on this application is for internal use only, for us to match you as well as possible with and executive from among our alumni database.

BLDP Application

The Spring 2023 Application is now open! 

Priority will be given to applications received by November 18. Applications are accepted until all seats are filled. Space is limited, so apply early!

The seminar application process is our gateway for entry into the program. Upon acceptance into BLDP, students will be emailed their acceptance letter plus a special permission number allowing registration for the BLDP seminar.

Requirements

Seminar applications are solicited each semester and require the following:

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Rutgers-Camden students are invited to apply to apply for enrollment in the BLDP seminar. All applicants are expected to meet both of the following selection criteria:  (1) have sophomore standing or above and (2) have an overall GPA of 3.0 or above. First-semester transfer students will be evaluated based on their GPA earned at Rutgers. Students who fail to meet these admission criteria may still be allowed to apply for (and possibly enroll in) the BLDP seminar, but they will be evaluated on a case-by-case basis.

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