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Dr. B. Rae Cho

Dr. Byung Rae ChoProfessor & Graduate Coordinator

Department of Industrial Engineering
268 Freeman Hall, Clemson University
Clemson, SC 29634-0920

Phone: (864) 656-1874
Fax: (864) 656-0795
Email: bcho@clemson.edu

Google Scholar

Education

MS, Industrial and Systems Engineering
Ohio State University

PhD, Industrial Engineering
University of Oklahoma

Academic Genealogy

Research Areas

Six Sigma and process improvement, quality improvement by statistical modeling and operations research, process control and monitoring in healthcare, response surface methodology based robust parameter design, optimal experimental designs with irregular design space, process capability analysis under special situations, statistical inference under special situations, convolution of special probability distributions, process target problems, Bayesian modeling, inverse problems, Kalman filtering, modeling of tolerances and gap analysis, pharmaceutical formulation problems, probabilistic modeling in military operations research,  bombing coverage problems, noise reductions in missile defense radar systems, and prediction of missile trajectories

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Professional Affiliations

Editor-in-Chief, International Journal of Quality Engineering and Technology (2009-present)
Editor-in-Chief, International Journal of Six Sigma and Competitive Advantage (2009-2012)
Editor-in-Chief, Journal of Experimental Design and Process Optimization (2010-2013)

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Awards

1996 | Professor of the Year
2009 | Clemson University Board of Trustee Award for Faculty Excellence
2010 | Clemson University Board of Trustee Award for Faculty Excellence
2011 | Professor of the Year

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Selected Journal Publications - * Cho's PhD Students

  1. Pegues, K.*, Boylan, G.*, and Cho, B.R., “Decision Making in Healthcare Using Robust Parameter Design with Conditions-Based Selection of Regression,” to appear in Quality and Reliability Engineering.

  2. Ozdemir, A.* and Cho, B.R., “Response Surface-Based Robust Parameter Design Optimization with Both Qualitative and Quantitative Variables,” to appear in Engineering Optimization.

  3. Krenek, R.*, Cha, J.*, Cho, B.R., and Sharp, J.L., Development of Statistical Convolutions of Truncated Normal and Truncated Skew Normal Distributions, Journal of Statistical Theory and Practice, 11(1), 1-25, 2017.

  4. Ozdemir, A.* and Cho, B.R., “A Nonlinear Integer Programming Approach to Solving a Robust Parameter Design Optimization Problem,” Quality and Reliability Engineering International, 32(8), 2859-2870, 2016.

  5. Khamkanya, A.*, Cho, B.R., and Goethals, P.*, “Integrating Customer Perception into Process Capability Measures,” Quality and Reliability Engineering International Research, 32(4), 1331-1345, 2016.

  6. Krenek, R.* and Cho, B.R., “The Expanded DPMO Interface for Capturing the Compounding Effect of Process Mean and Variability as a New Paradigm for  Process Evaluation and Improvement,” International Journal of Six Sigma and Competitive Advantage, 9(4), 174 – 205, 2015.

  7. Goethals, P.L.*, Boylan, G.L.*, and Cho, B.R., “Broadening the Damage Function in Modeling an Array of Military Applications,” Military Operations Research, 20(1), 39-63, 2015.

  8. Cho, B.R. and Kim, J.*, “The Prediction of Missile Trajectories Using a Kalman Filter: A Simulation Study,” International Journal of Experimental Design and Process Optimisation, 4(1), 27-51, 2014.

  9. J. Cha* and B.R. Cho, “Classical Statistical Inference Extended to Truncated Populations for Continuous Process Improvement: Test Statistics, P-values, and Confidence Intervals,” Quality and Reliability Engineering International, 2014.

  10. J. Cha*, B.R. Cho, and J. Sharp, “Rethinking the Truncated Normal Distribution,” International Journal of Experimental Design and Process Optimization, 3(4), 327-363, 2014.

  11. J. Kim* and B.R. Cho, “Mathematical Foundations of Noise Reduction in Theater Ballistic Missile Defense Radar Systems,” International Journal of Experimental Design and Process Optimisation, 4(1), 52-70, 2014.

  12. P. Goethals* and B.R. Cho, “Investigating Estimation Error Reduction Strategies in Complex Engineering Systems,” International Journal of Data Analysis Techniques and Strategies: Special Issue on Multivariate Analysis and Quality Control, 6(1), 43-72, 2014.

  13. S. Shin*, N.K.V. Truong, P. Goethals*, B.R. Cho, and S.H. Jeong “Robust Design and Optimization of a Multi-Response Time Series for a Pharmaceutical Process,” International Journal of Advanced Manufacturing Technology, 74, 1017-1031, 2014.

  14. G. Boylan* and B.R. Cho, “Studies on the Effects of Estimator Selection in Robust Parameter Design under Asymmetric Conditions,” Quality and Reliability Engineering International, 29(3), 2013.

  15. H. Chan* and B.R. Cho, “The Development of Specifications-Based S- and L-type Robust Designs,” International Journal of Experimental Design and Process Optimization, 3(4), 364-383, 2013.

  16. G. Boylan* and B.R. Cho, “Robust Parameter Design in Embedded High-Variability Production Processes: an Alternative Approach to Mitigating Sources of Variability,” International Journal of Production Research, 51(15), 4517-4538, 2013.

  17. G. Boylan* and B.R. Cho, “Solving the Multidisciplinary Robust Parameter Design Problem for Mixed-type Quality Characteristics under Asymmetric Conditions,” Quality and Reliability Engineering International, 29(5), 571-582 (2013).

  18. G. Boylan* and B.R. Cho, “Comparative Studies on the High-Variability Embedded Robust Parameter Design from the Perspective of Estimators,” Computers & Industrial Engineering, 64(1), 442-452 (2013).

  19. Z. Li*, B.R. Cho, and B. Melloy, “Quality by Design Studies on Multi-response Pharmaceutical Formulation Modeling and Optimization,” Journal of Pharmaceutical Innovation, 8, 28-44 (2013).

  20. G.L. Boylan*, P. Goethals*, and B.R. Cho, “Robust Parameter Design in Resource-Constrained Environments: An Investigation of Trade-offs between Costs and Precision within Variable Processes,” Applied Mathematical Modeling, 37, 2394-2416 (2013).

  21. H. Chan* and B.R. Cho, “The Development of Specifications-Based N-type Robust Design,” International Journal of Experimental Design and Process Optimization, 3(3), 217-244, 2013.

  22. P. Goethals* and B.R. Cho, “The Optimal Process Mean Problem: Integrating Predictability and Profitability into an Experimental Factor Space,” Computers & Industrial Engineering, 62(4), 851-869 (2012).

  23. G.L. Boylan* and B.R. Cho, “The Normal Probability Plot as a Tool for Understanding Data: A Shape Analysis from the Perspective of Skewness, Kurtosis, and Variability,” Quality and Reliability Engineering International, 28(3), 249-264 (2012).

  24. P. Goethals* and B.R. Cho, “Solving Multiresponse Problems with Enhanced Precision,” International Journal of Industrial and Systems Engineering, 11(3), 250-278 (2012).

  25. H. Toro Diaz*, H.S. Chan*, and B.R. Cho, “Optimally Designing Experiments under Non-Standard Experimental Situations,” International Journal of Experimental Design and Process Optimisation, 3(2), 133-157 (2012).

  26. P. Goethals* and B.R. Cho, “Designing the Optimal Process Mean Vector for Mixed Multiple Quality Characteristics,” IIE Transactions, 44, 1002-1021 (2012). 

  27. Z. Li*, B.R. Cho, and B. Melloy, “A Research and Development Effort in Developing the Optimal Formulations for New Tablet Drugs Using Design of Experiments: Part 1 (Dissolution Comparisons), International Journal of Experimental Design and Process Optimisation, 3(1), 43-67 (2012).

  28. Z. Li*, B.R. Cho, and B. Melloy, “A Research and Development Effort in Developing the Optimal Formulations for New Tablet Drugs Using Design of Experiments: Part 2 (Bioequivalence Studies), International Journal of Experimental Design and Process Optimisation, 3(1), 68-90 (2012).

  29. P. Goethals*and B.R. Cho, “Solving the Process Target Problem Using Computer-Generated Experimental Designs,” European Journal of Industrial Engineering, 6(2), 234 - 258 (2012).

  30. P. Goethals* and B.R. Cho “Extending the Desirability Function to Account for Variability Measures in Univariate and Multivariate Response Experiments,” Computers & Industrial Engineering, 62, 457-468 (2012).

  31. P. Goethals* and B.R. Cho, “Designing the Optimal Mean for an Asymmetrically Distributed Process,” International Journal of Productivity and Quality Management, 7(1), 82-102 (2011).

  32. P. Goethals* and B.R. Cho, “Reverse Programming the Optimal Process Mean Problem to Identify a Factor Space Profile,” European Journal of Operational Research, 215, 204–217 (2011).

  33. P. Goethals* and B.R. Cho, “The Development of Multi-Response Experimental Designs for Process Parameter Optimization,” International Journal of Quality and Reliability Management, 28(6), 628-648 (2011).

  34. P. Goethals* and B.R. Cho, “The Development of a Robust Design Methodology for Time-Oriented Dynamic Quality Characteristics with a Target Profile,” Quality and Reliability Engineering International, 27, 403-414 (2011).

  35. P. Goethals*and B.R. Cho, “The Development of a Target Focused Process Capability Index with Multiple Characteristics,” Quality and Reliability Engineering International, 27, 297-311 (2011).

  36. P. Goethals*and B.R. Cho, “Solving the Optimal Target Problem Using Response Surface Designs in Heteroscedastic Conditions,” International Journal of Production Research, 49(12), 3455-3478 (2011).

  37. S. Shin*, K.V.T, Nguyen, B.R. Cho, and S.H. Hong, “Development of a Sequential Robust-Tolerance Design Model for a Destructive Quality Characteristic,” Computers & Industrial Engineering, 60, 777-789 (2011).

  38. P. Goethals*and B.R. Cho, “Using Higher Precision-Based Response Surface Designs to Determine the Optimal Process Target,” International Journal of Advanced Manufacturing Technology, 56, 13-30 (2011).

  39. P. Goethals*, L. Aragon*, and B.R. Cho, “Experimental Investigations of Estimated Response Surface Functions with Different Variability Measures,” International Journal of Experimental Design and Process Optimisation, 1 (2/3), 123-163 (2009).

  40. S. Shin* and B.R. Cho, “Studies on a Bi-objective Robust Design Optimization Problem,” IIE Transactions, 41, 957-968 (2009).

  41. M. Kumar, J. Antony, and B.R. Cho, “Project Selection and Its Impact on the Successful Deployment of Six Sigma,” Business Process Management Journal, 15(5), 669-686 (2009).

  42. S. Bowling*, M. Khasawneh*, and B.R. Cho, “A Logistic Approximation to the Cumulative Normal Distributions,” International Journal of Industrial Engineering and Management, 2(1), 114-127 (2009).

  43. J. Kovach* and B.R. Cho, “A D-Optimal Design Approach for Constrained Multiresponse Robust Design with Prioritized Mean and Variance Considerations,” Computers & Industrial Engineering, 57, 237-245 (2009).

  44. A.B. Shaibu* and B.R. Cho, “Another View of Dual Response Surface Modeling and Optimization in Robust Parameter Design,” International Journal of Advanced Manufacturing Technology, 41, 631-641 (2009).

  45. A.B. Shaibu*, B.R. Cho, and J. Kovach*, “Development of Censored Robust Design for Time-Oriented Quality Characteristics,” Quality and Reliability Engineering International, 25, 181-197 (2009).

  46. J. Kovach*, B.R. Cho, and J. Antony “Development of a Variance Prioritized Multiresponse Robust Design Optimization Framework,” International Journal of Quality and Reliability Management, 26(4), 380-396 (2009).

  47. B.R. Cho, S. Shin*, Y. Choi, and J. Kovach*, “Development of a Multidisciplinary Optimization Process for Designing Optimal Pharmaceutical Formulations with Constrained Experimental Regions,” International Journal of Advanced Manufacturing Technology, 44, 841-853 (2009).

  48. H. Jeong, S. Shin*, and B.R. Cho, “Integrating Data Mining to a Process Design Using the Robust Bayesian Approach,” International Journal of Quality, Reliability and Safety Engineering, 15(5), 441-464 (2008).

  49. M. T. Khasawneh*, S. R. Bowling*, and B. R. Cho, “A Markovian Approach to Determining Optimum Process Means with Dual Quality Characteristics in a Multi-Stage Production System,” Journal of System Science and System Engineering, 17(1), 66-85 (2008).

  50. J. Kovach* and B.R. Cho, “Constrained Robust Design Experiments and Optimization with the Consideration of Uncontrollable Factors,” International Journal of Advanced Manufacturing Technology, 38, 7-18 (2008).

  51. S. Shin* and B. R. Cho “Development of a Sequential Optimization Procedure for Robust Design and Tolerance Design within a Bi-objective Paradigm," Engineering Optimization, 40(11), 989-1009 (2008).

  52. J. Kovach* and B.R. Cho, “Development of a Multidisciplinary-Multiresponse Robust Design Optimization Model,” Engineering Optimization, 40(9), 805-819 (2008).

  53. J. Kovach* and B.R. Cho, “Development of a D-Optimal Robust Design Model for Restricted Experiments,” International Journal of Industrial Engineering, 14(2), 117-128 (2007). 

  54. J. Kovach* and B.R. Cho, “Solving Multiresponse Optimization Problems Using Quality Function-Based Robust Design,” Quality Engineering, 20, 346-360 (2008).

  55. J. Kovach*, B.R. Cho, J. Antony, "Development of an Experiment based Robust Design Paradigm for Multiple Quality Characteristics Using Physical Programming," International Journal of Advanced Manufacturing Technology, 35, 1100-1112 (2008).

  56. J. Antony, F. Antony, M. Kumar, and B.R. Cho, “Six Sigma in Service Organizations: Benefits, Challenges and Difficulties, Common Myths, Empirical Observations and Success Factors,” International Journal of Quality and Reliability Management, 24(3), 294-311 (2007).

  57. S.M. Govindaluri* and B.R. Cho, “Robust Design Modeling and Optimization with Correlated Quality Characteristics Using a Multicriteria Decision Framework,” International Journal of Advanced Manufacturing Technology, 32, 423-433 (2007).

  58. J. Kovach*, L.D. Fredendall, and B.R. Cho, “The Interconnectedness among Auxiliary Benefits and Supporting Practices within the Quality Function Deployment Process,” International Journal of Six Sigma and Competitive Advantage, 3(2), 137-155 (2007).

  59. S.H. Hong and B.R. Cho, “Joint Optimization of Process Target Mean and Tolerance Limits with Measurement Errors under Multi-Decision Alternatives,” European Journal of Operational Research 183, 327-335 (2007).

  60. M. Govindaluri* and B.R. Cho, “The Markovian Based Fuzzy Entropy Method for Quantifying the Customer Preferences,” International Journal of Industrial Engineering, 14(1), 63-72 (2007).

  61. Y.J. Kim*, B.R. Cho, and N.K. Kim,  “Economic Design of Inspection Procedures Using Guard Band When Measurement Errors are Present,” Applied Mathematical Modelling, 31(5), 805-816 (2007).

  62. J. Kovach* and B.R. Cho, “A D-Optimal Design Approach to Robust Design under Constraints: A New Design for Six Sigma Tool,” International Journal of Six Sigma and Competitive Advantage, 2(4), 389-403 (2006).

  63. A.-B. Shaibu* and B.R. Cho, “Development of Realistic Quality Loss Functions for Industrial Applications,” Journal of Systems Science and Systems Engineering, 15 (4), 385-398 (2006).

  64. S. B. Lee, C. Park, and B.R. Cho, “Development of Highly Efficient and Resistant Robust Design,” International Journal of Production Research, 45(1), 157-167 (2007).

  65. S. Shin* and B.R. Cho, “Robust Design Models for Customer-Specified Bounds on Process Parameters,” Journal of Systems Science and Systems Engineering, 15(1), 2-18 (2006). 

  66. S.H. Hong, H. Kwon, M.K. Lee, and B.R. Cho, “Joint Optimization in Process Target and Tolerance Limit for L-Type Quality Characteristics," International Journal of Production Research, 44(15), 3051-3060 (2006).

  67. J. Kovach* and B.R. Cho, “Development of Product Family-Based Robust Design: A Case Study,” International Journal of Six Sigma and Competitive Advantage, 1(4), 403-419 (2005).

  68. M.S. Govindaluri* and B.R. Cho, “Integration of Customer and Designer Preferences in Robust Design,” International Journal of Six Sigma and Competitive Advantage, 1(3), 276-294 (2005).

  69. B.R. Cho and M.D. Phillips*, and J. Kovach* “Designing the Optimum Configurations of Circular and Spherical Product Specifications for Multiple Quality Characteristics,” Journal of Systems Science and Systems Engineering, 14(4), 385-399 (2005).

  70. J. Kovach*, P. Stringfellow*, J. Turner*, and B.R. Cho, “The House of Competitiveness: The Marriage of Agile Manufacturing, Design for Six Sigma, and Lean Manufacturing with Quality Considerations,” Journal of Industrial Technology, 21(3), 2-10 (2005).

  71. B.R. Cho and C. Park, “Robust Design Modeling and Optimization with Unbalanced Data," Computers & Industrial Engineering, 48, 173-180 (2005).

  72. M.T. Khasawneh*, S. R. Bowling*, S. Kaewkuekool*, and B.R. Cho, “Tables of a Truncated Standard Normal Distribution: A Doubly Truncated Case,” Quality Engineering, 17(2), 227-241 (2005).

  73. Y.J. Kim*, B.R. Cho, M.K. Lee, and H.M. Kwon, “Design Optimization Modeling of Customer-Driven Concurrent Tolerance Allocation”,  Lecture Notes in Computer Science, Springer- Verlag, 3483, 212-221 (2005).

  74. S. Shin* and B.R. Cho, “Bias-Specified Robust Design Optimization and Its Analytical Solutions,” Computers & Industrial Engineering, 48, 129-140 (2005).

  75. M.T. Khasawneh*, S. R. Bowling*, S. Kaewkuekool*, and B.R. Cho, “Tables of a Truncated Standard Normal Distribution: A Singly Truncated Case,” Quality Engineering, 17(1), 33-50 (2005).

  76. S. R. Bowling*, M.T. Khasawneh*, S. Kaewkuekool*, and B.R. Cho, “A Markovian Approach to Determining Optimal Process Target Levels for a Multi-Stage Serial Production System,” European Journal of Operational Research, 159(3), 636-650 (2004).

  77. Y.J. Kim* and B.R. Cho, “Determining the Optimum Process Mean for a Skewed Process,” International Journal of Industrial Engineering, 10(4), 555-561 (2003).

  78. B.R. Cho, “Box on Quality and Discovery with Design, Control, and Robustness,” IIE Transactions, 35(6), 584-586 (2003).

  79. C. Park and B.R. Cho, “Development of Robust Design under Contaminated and Non-Normal Data,” Quality Engineering, 15 (3), 463-469 (2003).

  80. Y.J. Kim* and B.R. Cho, “Development of Priority-Based Robust Design,” Quality Engineering, 14(3), 355-363 (2002). 

  81. M.S. Govindaluri* and B.R. Cho, “Optimal Screening Limits in Multi-Stage Assemblies,” International Journal of Production Research, 40(9), 1993-2009 (2002).

  82. Sopadang*, B.R. Cho, and M.S. Leonard, “Development of the Hybrid Weight Assessment System for Multiple Quality Attributes,” Quality Engineering, 15(1), 75-89 (2002).

  83. J. Teeravaraprug* and B.R. Cho, “Designing the Optimal Process Target for Multiple Quality Characteristics,” International Journal of Production Research, 40(1), 37-54, (2002).

  84. J. Teeravaraprug*, B.R. Cho, and W.J. Kennedy, “Designing the Most Cost-Effective Process Target Using Regression Analysis: A Case Study,” Process Control and Quality, 11(6), 469-477 (2001).

  85. Sopadang*, B.R. Cho, and M.S. Leonard, “Development of a Scaling Factor Identification Method Using Design of Experiments for Product-Family Based Product and Process Design,” Quality Engineering, 14(2), 319-329 (2001).

  86. M.D. Phillips* and B.R. Cho, “A Nonlinear Model for Determining the Most Economic Process Mean Under a Beta Distribution,” International Journal of Reliability, Quality and Safety Engineering, 7(1), 61-74 (2000).

  87. Y.J. Kim*and B.R. Cho, “Economic Integration of Design Optimization,” Quality Engineering, 12(4), 561-567 (2000).

  88. B.R. Cho, Y.J. Kim*, D.L. Kimbler, and M.D. Phillips*, “An Integrated Joint Optimization Procedure for Robust and Tolerance Design,” International Journal of Production Research, 38(10), 2309-2325 (2000).

  89. Y.J. Kim* and B.R. Cho, “Economic Design of Measurement Systems,” Process Control and Quality, 11(5), 395-405 (2000).

  90. Y.J. Kim* and B.R. Cho, “The Use of Response Surface Designs in the Selection of Optimum Tolerance Allocation,” Quality Engineering, 13(1), 35-42 (2000).

  91. Y.J. Kim* and B.R. Cho, “Economic Consideration on Parameter Design,” Quality and Reliability Engineering International, 16, 501-514 (2000).

  92. M.D. Phillips* and B.R. Cho, “Modelling of Optimal Specification Regions,” Applied Mathematical Modelling, 24, 327-341 (2000).

  93. Y.J. Kim*, B.R. Cho, and M.D. Phillips*, “Determination of the Optimal Process Mean with the Consideration of Variance Reduction and Process Capability,” Quality Engineering, 13(2), 251-260 (2000).

  94. M.D. Phillips* and B.R. Cho, “Quality Improvement for Process Mean with Circular and Spherical Specification Regions,” Quality Engineering, 11(2), 235-243 (1998).

  95. B.R. Cho and M.D. Phillips*, “Design of the Optimum Product Specifications for S-Type Quality Characteristics,” International Journal of Production Research, 36(2), 459-474 (1998).

  96. M.D. Phillips* and B.R. Cho, “An Empirical Approach to Designing Product Specifications: A Case Study,” Quality Engineering, 11 (1), 91-100 (1998).

  97. B.R. Cho and M.S. Leonard, “Identification and Extensions of Quasiconvex Quality Loss Functions,” International Journal of Reliability, Quality and Safety Engineering, 4(2), 191-204 (1997).

  98. B.R. Cho and K.C. Kapur, “Economic Design of the Specification Region for Multiple Quality Characteristics,” IIE Transactions, 28, 237-248 (1996).

  99. B.R. Cho, W.G. Ferrell, and D.L. Kimbler, “Development of the Optimum Product Specification for an Exponential-Type Quality Characteristic,” International Journal of Reliability, Quality and Safety Engineering, 3(3), 243-256 (1996).

  100. K.C. Kapur and B.R. Cho, “Economic Design and Development of Specifications,” Quality Engineering (6)3, 401-417 (1994). 

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Research Laboratory

Center for Excellence in Quality
Advanced Quality Engineering Laboratory

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Courses Taught

ENGR 1200 Engineering Problem Solving and Design (U)
IE 3610 Industrial Applications of Probability and Statistics II (U)
IE 3800, Deterministic Operations Research (U)
IE 3810, Probabilistic Operations Research (U)
IE 4020 Creative Inquiry (U)
IE 4610 Quality Engineering (U)
IE 4620/6620 Six Sigma Quality (U/G)
IE 8030 Engineering Optimization (G)
IE 8050 Foundations in Quality Engineering (G)
IE 8090 Modeling Systems under Risk (G)
IE 8530 Foundations of Quality (G)
IE 8710 Reliability Engineering and Industrial Testing (G)
IE 9710 Advanced Quality Engineering (G)

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Former Ph.D. Advisees

Dr. Michael Phillips, Harvard University, USA
Dr. Young Jin Kim, Mississippi State University, USA
Dr. Jirarat Teeraraprug, Thammasat University, Thailand
Dr. Apichai Sopadang, Chiang Mai University, Thailand
Dr. Jaywan Kim, California University of Management and Sciences, USA
Dr. Madhumohan Govindaluri, Rampo College of New Jersey, USA 
Dr. Sangmun Shin, Dong-A University, South Korea
Dr. Jamison Kovach, University of Houston, USA
Dr. Abdul-Bassit Shaibu, Florida Gulf Coast University, USA
Dr. Paul Goethals, U.S. Military Academy, West Point, USA
Dr. Zhe Li, Google, Mountain View, CA, USA
Dr. Hsin-Li Chan, Erie, PA, USA
Dr. Gregory Boylan, US Military Academy, West Point, USA
Dr. Jinho Cha, ROK Army, South Korea
Dr. Akin Ozdemir, Bayburt University, Turkey
Dr. Anintaya Khamkanya, Thammasat University, Thailand

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