"Show yourself in all respects to be a model of good works, and in your teaching show integrity, dignity, and sound speech that can not be condemned." (Titus 2:7)

 

 

 

Dr. Myong K. (MK) Jeong

 

 

 

 

 

 

 

 

 

 

 

Description: Description: Description: Description: C:\Users\MK\Desktop\mkj3.jpg

 

Associate Professor

Ph.D., Georgia Tech.


Department of Industrial & Systems Engineering (ISE)
RUTCOR (Rutgers, Center for Operations Research)

96 Frelinghuysen Road, Piscataway, NJ 08854-8018
Phone: (848) 445- 4858
Fax: (732) 445-5467
E-mail: mjeong at rci dot rutgers dot edu


 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

EDUCATION

·         Ph.D. in Industrial and Systems Engineering, May 2004, Georgia Institute of Technology, Atlanta, Georgia

·         Minor: Signal Processing Techniques for Data Mining

·         Thesis: Wavelet Based Methodology in Data Mining for High-Dimensional and Complicated Function Data (Advisor: Dr. Jye-Chyi Lu)

·         M.S. in Statistics, December 2002

·         Georgia Institute of Technology, Atlanta, Georgia

·         M.S. in Industrial Engineering, February 1993, Korea Advanced Institute of Science and Technology (KAIST), Taejon, Korea

·         Thesis: A Study on the Estimation of Signal-to-Noise Ratios of Robust Design (Advisor: Dr. Bong-Jin Yum)

·         B.S. in Industrial Engineering, February 1991, HanYang University, Seoul, Korea

 

PROFESSIONAL EXPERIENCE

·         Associate Professor, Department of Industrial and Systems Engineering & RUTCOR (Rutgers Center for Operations Research), Rutgers, the State University of New Jersey, New Brunswick, NJ, July 2011 – present

·         Assistant Professor, Department of Industrial and Systems Engineering & RUTCOR,  Rutgers, the State University of New Jersey, New Brunswick, NJ, July 2008 – June 2011

·         Assistant Professor, Department of Industrial and Information Engineering, the University of Tennessee, Knoxville, TN, June 2004 – June 2008.

·         Graduate Research Assistant, School of Industrial & Systems Engineering, Georgia Institute of Technology, Atlanta, GA, August 1999 – May 2004

·         Senior Research Member, Internet Technology Laboratory, Electronics & Telecommunications Research Institute (ETRI), Taejon, Korea, March 1998 – July 1999

·         Research Member, Quality & Reliability Engineering Laboratory, ETRI, Taejon, Korea, March 1993 – February 1998

 

HONORS AND AWARDS

·         National Science Foundation (NSF) CAREER Award, 2007-2012

·         Freund International scholarship by ASQ (American Society for Quality), 2002-2004

·         NAFSA Awards for Excellent International Students by Association of International Educators, 2001-2002

 

EDITORSHIP

·         Associate Editor, IEEE Transactions on Automation Science and Engineering, 2009 - present

·         Associate Editor, Journal of Intelligent Manufacturing, 2014 - present

·         Associate Editor, International Journal of Quality, Statistics and Reliability, 2007 - present

·         Editorial Board, International Journal of Operations Research and Information Systems, 2009 – present

·         A Review Board Member, International Journal of Applied Intelligence, 2009 -

 

PUBLICATIONS

  Patents

·         M. K. Jeong, The Method of Estimating the Cutoff Connection Rate in the ATM Switching System Using Simulation, Patent Registration No. 1002373970000 (Korea), January 15, 2000

   Book Chapters

·         G. Gazzola, C. Chou, M. K. Jeong, and, W. A. Chaovalitwongse, (2012), An Introduction to the Analysis of Functional Magnetic Resonance Imaging Data. In Pardlos (Eds.), Optimization and Data Analysis in Biomedical Informatics, The Fields Institute.

·         M. K. Jeong, S. Kong, and O. A. Omitaomu (2007), Data Mining in Multi-dimensional Functional Data for Manufacturing Fault Diagnosis, Recent Advances in Data Mining of Enterprise Data: Algorithms and Applications; Editors T. Warren Liao and Evangelos Triantaphyllou, World Scientific, pp.463-504

 

 

  Refereed Journal Articles

  (Underline indicates students/PostDocs/visiting scholars supervised by Dr. Jeong; * corresponding author)

1.      S. Yoo, B. Kim, and M. K. Jeong* (2015), “Modeling of Technology Lifetime Based on Patent Citation Data and Segmentation,” Journal of the Operational Research Society, 66, 450-462.

2.      C. Lee, N. Kim, M. Pham, W. Art, and M. K. Jeong (2015), “A Network Structural Approach to the Link Prediction, INFORMS Journal on Computing, 27, 249-267.

3.      J. Kim, K. N. Al-Khalifa, M. Park, M. K. Jeong, A. S. Hamouda, E. A. Elsayed* (2015), “Multivariate Statistical Control Charts based on Approximate Sequential Chi-Squared Test,” International Journal of Production Research, 52, 5514-5527.

4.      B. Kim, Y. S. Jeong, S. Tong, I. Chang, and M. K. Jeong* (2015), “A Regularized Singular Value Decomposition-Based Approach for Failure Pattern Classification on Fail Bit Map in a DRAM Wafer,” IEEE Transactions on Semiconductor Manufacturing, 28, 41-49.

5.      A. Rodreguez, B. Kim, J. Lee, B. Coh, and M. K. Jeong* (2015), “Graph Kernel based Centrality Measure for Evaluating the Importance of Patents in a Patent Citation Network,” Expert Systems with Applications, 42(3), 1479-1486.

6.      A. Rodreguez, B. Kim, M. Turkoz, J. Lee, B. Coh, and M. K. Jeong* (2015), “New Multi-stage Similarity Measure for Calculation of Pairwise Patent Similarity in a Patent Citation Network,” Scientometrics, 103, 1531-1538.

7.      Y. S. Jeong, K. Shin, and M. K. Jeong* (2014), “An Evolutionary Algorithm with the Partial SFFS Mutation for Large Scale Feature Selection Problems,” Journal of Operations Research Society, 65, 1-10.

8.      N. Kim, M. K. Jeong*, B. Lee, H. Lee, S. Lee, and Y. Moon (2014), “A Graph Kernel Approach for the Simultaneous Detection of the Competitive Technology and Technology Groups,” IEEE Intelligent Systems, 44-51.

9.      K. Lee, N. Kim, and M. K. Jeong* (2014), “A Sparse Signomial Model for Classification and Regression,” Annals of Operations Research, 216, 257-286.

10.  B. Kim, G. Gazzola, N. Kim, K. Kim, J. Lee, and M. K. Jeong* (2014), “Inter-Cluster Connectivity Analysis for Technology Opportunity Discovery,” Scientometrics, 98, 1811-1825

11.  P. Wilcox, E. Youn, M. K. Jeong, T. Hermann, and C. Nansen (2014), “Evolutionary Refinement Approaches for Band Selection of Hyperspectral Images with Applications to Automatic Monitoring of Animal Feed Quality,” Intelligent Data Analysis,18(1), 25-42

12.  S. Hwang, B. Yum, and M. K. Jeong* (2014), “Robust Relevance Vector Machine with Variational Inference for Improving Virtual Metrology Accuracy,” IEEE Transaction on Semiconductor Manufacturing, 27(1), 1-12

13.  F.M. Oliveira Neto, L. Han and M. K. Jeong* (2013), “An Online Self-Learning Algorithm for License Plate Matching,” IEEE Transaction on Intelligent Transportation Systems, 14(4), 1806-1816

14.  Y. Ko, P. Moon, C. Kim, M. Ham, M. K. Jeong, A. Garcia-Diaz, J. Myoung, and I. Yun (2013),Predictive Modeling and Analysis of HfO2 Thin Film Process Based on Bayesian Information Criterion Using PCA-based Neural Networks,” Surface and Interface Analysis, 45, 1334-1339

15.  J. Kim, K. N. Al-Khalifa, M. Park, M. K. Jeong, A. S. Hamouda, and E. A. Elsayed* (2013), “ACUSUM Charts with Adaptive Runs Rule,” International Journal of Production Research, 51(15), 4556-4569.

16.  M. Kang, K. Park, and M. K. Jeong (2013), “Frame Packing for Minimizing the Bandwidth Consumption of FlexRay Static Segment,” IEEE Transaction on Vehicular Technology, 60(9), 4001-4008

17.  J. I. Park, N. Kim, M. K. Jeong*, and K. Shin (2013), “Multiphase Support Vector Regression for Function Approximation with Break-Points,” Journal of the Operational Research Society, 64, 775-785

18.  Y. S. Jeong, I. Kang, M. K. Jeong*, and D. Kong (2012), “A New Feature Selection Method for One-Class Classification Problems,” IEEE Transactions on Systems, Man, Cybernetics, Part C, 42, 1500-1509.  

19.  N. Kim, Y. S. Jeong, M. K. Jeong*, and T. Young (2012), “Kernel Ridge Regression with Lagged Dependent Variable: Applications to Prediction of Internal Bond Strength in a Medium Density Fiberboard Process,” IEEE Transactions on Systems, Man, Cybernetics, Part C, 42, 1011-1020. (Invited for the INFORMS 2009 Data Mining student best paper competition)

20.  M. M. Castro-Neto, L. Han, Y. S. Jeong, and M. K. Jeong (2012), “Toward Training-Free Automatic Detection of Freeway Incidents – Simple Algorithm with One Parameter,” Journal of Transportation Research Board, 2278, 42-49. 

21.  N. Kim, B. Lee, H. Lee, S. Lee, Y. Moon, and M. K. Jeong (2012), “Automatic Detection of Influential Patents Using Singular Values,” IEEE Transactions on Automation Science and Engineering, 59, 723-733.

22.  K. Shin, Y. S. Jeong, and M. K. Jeong* (2012), “A Two-leveled Symbiotic Evolutionary Algorithm for Clustering with Unknown Cluster Size,” Applied Intelligence, 36, 788-799.

23.  Z. Du, Y. S. Jeong, M. K. Jeong*, and S. Kong (2012), “Multidimensional Local Spatial Autocorrelation Measure for Integrating Spatial and Spectral Information in Hyperspectral Image Band Selection,” Applied Intelligence, 36, 542-552.

24.  M. Park, J. Kim, M. K. Jeong, E. A. Elsayed*, A. S. Hamouda, and K. N. Al-Khalifa (2012), “Economic Cost Models for Integrated APC Controlled SPC Charts,” International Journal of Production Research, 50(14), 3936-3955.

25.  I. Kang, M. K. Jeong*, and D. Kong (2012), “A Differentiated One-Class Classification Method with Applications to Intrusion Detection,” Expert Systems with Applications, 39, 3899-3905

26.  L. Han, S. Ko, Z. Gu, and M. K. Jeong* (2012), “Adaptive Weigh-In Motion Algorithms for Truck Weight Enforecement,” Transportation Research Part C, 24, 256-269  

27.  Y. Hwang, O. Ryou, and M. K. Jeong (2012), “A Self-assessment Scheme for a R&D Organization Based on ISO 9004:2000,” International Journal of Quality and Reliability Management, 29(2), 177-193.

28.  J. I. Park, L. Liu, X. Ye, Y. S. Jeong, and M. K. Jeong* (2012), “Improved Prediction of Biomass Composition Using Reproducing Kernel Methods with Wavelet Compressed FT-NIR Spectra,” Expert Systems with Applications, 39, 1555-1564.

29.  F.M. Oliveira Neto, L. Han and M. K. Jeong (2012), “Online License Plate Matching Procedure Using License-Plate Recognition Machines and New Weighted Edit Distance,” Transportation Research Part C, 21(1), 306-320.

30.  W. A. Chaovalitwongse, Y. S. Jeong, M. K. Jeong, S. F. Danish, and S. Wong (2011), “Pattern Recognition Approaches for Identifying Targeted Subcortical Structure in Deep Brain Surgery,” IEEE Intelligent Systems, 26, 54-63.

31.  Y. Fang, J. I. Park, Y. S. Jeong, M. K. Jeong*, S. Baek, and H. Cho (2011), “Enhanced Predictions of Wood Properties Using Hybrid Models of PCR and PLS with High-Dimensional NIR Spectra Data,” Annals of Operations Research, 190, 3-15.

32.  O. Omitaomu, M. K. Jeong*, and A. Badiru (2011), “On-Line Support Vector Regression with Varying Parameters for Time-Dependent Data,” IEEE Transactions on Systems, Man, Cybernetics, Part A, 41(1), 191-197.

33.  H Jung, N. Kim, B. Yum, and M. K. Jeong (2011), “Pattern Selection Approaches for the Logical Analysis of Data Considering the Outliers and the Coverage of a Pattern,” Expert Systems with Applications, 38(11), 13857-13862

34.  Y. S. Jeong, O. Omitaomu, and M. K. Jeong* (2011), “Weighted Dynamic Time Warping for Time Series Classification,” Pattern Recognition, 44, 2231-2240. (Invited for the INFORMS 2010 Data Mining student best paper competition)

35.  H Jung, N. Kim, B. Yum, and M. K. Jeong (2011), “Comparison of Classification Methods in the Original and Pattern Spaces,” Expert Systems with Applications, 38(10), 12432-12438

36.  J. I. Park and M. K. Jeong* (2011), “Recursive Support Vector Censored Regression for Monitoring Product Quality Based on Degradation Profiles,” Applied Intelligence, 35, 63-74.

37.  Y. S. Jeong, M. M. Castro-Neto, M. K. Jeong*, and L. Han (2011), “A Wavelet-based Freeway Incident Detection Algorithm with Adapting Threshold Parameters,” Transportation Research Part C, 19, 1-19.

38.  S. H. Choi, Y.S. Jeong, and M. K. Jeong (2010), “A Hybrid Recommendation Method with Reduced Data for Large-Scale Application,” IEEE Transactions on Systems, Man, Cybernetics, Part C, 40(5), 557-566.

39.  Y. Ko, Y. S. Jeong, M. K. Jeong, A. Garcia, and B. Kim (2010), “Functional Kernel-based Modeling of Wavelet Compressed Optical Emission Spectral Data: Prediction of Plasma Etch Process,” IEEE Sensors Journal, 10(3), 746-754.

40.  E. Youn, M. K. Jeong, S. Baek (2010), “Support Vector Based Feature Selection Using Fisher’s Linear Discriminant and Support Vector Machine,” Expert Systems with Applications, 37, 6148-6156.

41.  F. M. Oliveira Neto, L. Han and M. K. Jeong (2009), “Tracking Large Trucks in Real-Time with License Plate Recognition and Text-Mining Techniques,” Journal of Transportation Research Board, 2121, 121-127.

42.  J. S. Fenner, Y. S. Jeong, M. K. Jeong*, and J. C. Lu (2009), "A Bayesian Parallel Site Methodology with an Application to Uniformity Modeling in Semiconductor Manufacturing," IIE Transaction on Quality and Reliability, 41(9), 754-763. (Joint work with Intel Corp and featured article in IE magazine, August, 2009, p.52-53).

43.  E. Youn and M. K. Jeong* (2009), “Class Dependent Feature Scaling Method Using Naive Bayes Classifier for Text Datamining,” Pattern Recognition Letters, 30(5), 477-485

44.J. I. Park, S. Baek, S. Bae, and M. K. Jeong* (2009), “Dual Features Functional Support Vector Machines for Fault Detection of Rechargeable Batteries,” IEEE Transactions on Systems, Man, Cybernetics, Part C, 39 (4), 480-485.

45.  M. M. Castro-Neto, Y. S. Jeong, M. K. Jeong*, and L. Han (2009), “AADT Prediction Using Support Vector Machine with Data Dependent Parameters,” Expert Systems with Applications, 36(2), 2979-2986.

46.  H. Cho, S. Baek, E. Youn, M. K. Jeong*, and A. Taylor (2009), “A Two Stage Classification Procedure for Near-Infrared Spectra Data Based on Multi-scale Vertical Energy Wavelet Thresholding and SVM-based Gradient-RFE Feature Elimination,” Journal of the Operational Research Society, 60(8), 1107-1115.

47.  M. M. Castro-Neto, Y. S. Jeong, M. K. Jeong*, and L. Han (2009), “Online SVR for Short-term Traffic Flow Prediction Under Typical and Atypical Traffic Conditions,” Expert Systems with Applications, 36(3), 6164-6173.

48.  S. Lee, H. Cho, N. Labbe, M. K. Jeong, and T. G. Rials (2009), “Quick Assessment of Thermal Decomposition Behavior of Lignocellulosic Biomass by Near-Infrared Spectroscopy and Its Statistical Analysis,” Journal of Applied Polymer Science, 114(5), 3229-3234.

49.  Y. Jeong, S. J. Kim, and M. K. Jeong* (2008), “Automatic Identification of Defect Patterns in Semiconductor Wafer Maps Using Spatial Correlogram and Dynamic Time Warping,” IEEE Transaction on Semiconductor Manufacturing, 21(4), 625-637 (Invited for the INFORMS 2008 QSR student best paper competition)

50.  Y. Fang and M. K. Jeong* (2008), “Robust Probabilistic Multivariate Calibration Model,” Technometrics, 50(3), 305-316. (Invited article for the panel discussion in the 2008 Joint Statistical Meeting (JSM) conference)

51.  J. I. Park, S. J. Kim, and M. K. Jeong* (2008), “A New Tolerance Design Method for a Secondary Rechargeable Battery Using Design of Experiments with Mixture,” Quality and Reliability Engineering International, 24(5), 543-556.

52.  H. Cho, S. B. Kim, M. K. Jeong, Y. Park, T. R. Ziegler, and D. P. Jones (2008), “Discovery of Metabolite Features for the Modeling and Analysis of High-Resolution NMR Spectra,” International Journal of Data Mining and Bioinformatics, 2(2), 176-192.

53.  N. André, H. Cho, S. Baek, M. K. Jeong, and T. M. Young (2008), “Prediction of Internal Bond Strength in a Medium Density Fiberboard Process Using Multivariate Statistical Methods and Variable Selection,” Wood Science and Technology, 42 (7), 521-534.

54.  H. Cho, S. B. Kim, M. K. Jeong, Y. Park, T. R. Ziegler, and D. P. Jones (2008), “Genetic Algorithm-Based Feature Selection in High-Resolution NMR Spectra,” Expert Systems with Applications, 35(3), 967-975.

55.  A. Taylor, S. Baek, M. K. Jeong, and G. Nix (2008), “Wood Shrinkage Prediction Using NIR Spectroscopy,” Wood and Fiber Science, 40(2), 301-307.

56.  H. Cho, K. Kim, and M. K. Jeong (2008), “Determination of Influential Factors and Diagnostics Using Multivariate Statistical Relationships between Variables and Faults,” Expert Systems with Applications, 35(1), 30-40.

57.  N. Labbe, H. Cho, M. K. Jeong, and N. Andre (2008), Enhanced Discrimination and Calibration of Biomass NIR Data Using Nonlinear Kernel Methods,” Bioresource Technology Journal, 99(17), 8445-8452. (Featured article in Chemometrics and Informatics, September 15, 2008)

58.  H. Cho and M. K. Jeong* (2008), “Enhanced Prediction of Misalignment Conditions from Spectral Data Using Feature Selection and Filtering,” Expert Systems with Applications, 35(2), 451-458.

59.  O. Omitaomu, M. K. Jeong*, A. Badiru, and J. W. Hines (2007), “On-Line Support Vector Regression Approach for the Monitoring of Motor Shaft Misalignment and Feedwater Flow Rate,” IEEE Transactions on Systems, Man, Cybernetics, Part C, 37(5), 962-970.

60.  M. K. Jeong*, J. C. Lu, W. Zhou, and S. K. Ghosh (2007), “Data Reduction Method for Spatial Data Using a Structured Wavelet Model,” International Journal of Production Research, 45(10), 2295-2311.

61.  Z. Du, M. K. Jeong*, and S. Kong (2007), “Band Selection of Hyperspectral Images for Automatic Detection of Poultry Skin Tumors,” IEEE Transactions on Automation Science and Engineering, 4(3), 332-339.

62.  H. Cho, K. Kim, and M. K. Jeong (2006), “Online Monitoring and Diagnosis of Batch Processes: Empirical Model-based Framework and A Case Study,” International Journal of Production Research, 44 (12), 2361-2378.

63.  H. Cho, M. K. Jeong, and Y. Kwon (2006), “Support Vector Data Description for Calibration Monitoring of Remotely Located Microrobotic System, Journal of Manufacturing Systems, 25(3), 196-208.

64.  O. Omitaomu, M. K. Jeong*, A. Badiru, and J. W. Hines (2006), “On-line Prediction of Motor Shaft Misalignment Using Fast Fourier Transform Generated Spectra Data and Support Vector Regression,” ASME Transactions, Journal of Manufacturing Science and Engineering, 128 (4), 1019-1024.

65.  M. K. Jeong, J. C. Lu, and N. Wang (2006), "Wavelet-Based SPC Procedure for Complicated Functional Data," International Journal of Production Research, 44(4), 729- 744. (Invited for the INFORMS 2003 QSR student best paper competition)

66.  U. Jung, M. K. Jeong*, and J. C. Lu (2006), “A Vertical-Energy-Thresholding Procedure for Data Reduction with Multiple Complex Curves,” IEEE Transactions on Systems, Man, Cybernetics, Part B, 36(5), 1128-1138.

67.  M. K. Jeong, J. C. Lu, X. Huo, B. Vidakovic, and D. Chen (2006), "Wavelet-based Data Reduction Techniques for Process Fault Detection," Technometrics, 48(1), 26-40.

68.  U. Jung, M. K. Jeong*, and J. C. Lu (2006), “Data Reduction for Multiple Functional Data with Class Information,” International Journal of Production Research, 44(14), 2695-2710.

69.  Y. Kwon, M. K. Jeong, and O. Omitaomu (2006) “Adaptive Support Vector Regression Analysis of Closed-Loop Inspection Accuracy,” International Journal of Machine Tools and Manufacture, 46(12), 603-610.

70.  M. K. Jeong, M. Perry, and C. Zhou (2005), "Throughput Gain with Parallel Flow in Automated Flow Lines," IEEE Transactions on Automation Science and Engineering, 2(1), 84-86.

71.  J. S. Fenner, M. K. Jeong , and J. C. Lu (2005), "Optimal Automatic Control of Multistage Production Processes," IEEE Transaction on Semiconductor Manufacturing, 18(1), 94-103.

72.  H. Cho, K. Kim, and M. K. Jeong (2005), “Multivariate Statistical Diagnosis Using Triangular Representation of Fault Patterns in Principal Component Space,” International Journal of Production Research, 43(24), 5181-5198.

73.  M. K. Jeong, D. Chen, and J. C. Lu (2003), "Thresholded Scalogram and Its Application in Process Fault Detection," Applied Stochastic Models in Business and Industry, 19(3), 231-244.

74.  M. K. Jeong, S.Y. Lee, C.O. Jeong, and J.S. Koh (1996), "ERIS`: A Reliability Design Tool for Telecommunication Systems," Computers and Industrial Engineering, 30(3), 523-530.

 

 

 

 

ACCEPTED JOURNAL PAPERS

1.      T. Park, Y. Hung, M. K. Jeong*, B. Yum (in press), “Robust Kriging Models in Computer Experiments,” Journal of Operations Research Society.

  1. B. Kim, Y. S. Jeong, S. Tong, I. Chang, and M. K. Jeong*, “A New Step-Down Spatial Randomness Test Procedure for Process Monitoring with Multiple Spatial Maps of a DRAM Wafer,” accepted with minor revision, IEEE Transactions on Semiconductor Manufacturing.
  2. S. Hwang, B. Yum, and M. K. Jeong*, “Robust Relevance Vector Machine with Variational Inference for Classification,” accepted with minor revision & under 2nd review, Annals of Operations Research.
  3. S. Hwang, N. Kim, M. K. Jeong*, and B. Yum (in press), “Robust Kernel Based Regression with Bounded Influence for Outliers,” Journal of Operations Research Society.
  4. N. Kim, C. Lee, S. Hwang, and M. K. Jeong* (in press), “Robust Kernel Regression with L0 Regularization,” Journal of the Operational Research Society.

 

Sponsors:

·         National Science Foundation (NSF)

·         USDA (United States Department of Agriculture)

·         NTRCI (National Transportation Research Center Incorporated)

·         Qatar National Research Foundation

·         Samsung Electronics, Inc.

·         Electronics & Telecommunications Research Institute (ETRI)

·         LanXess Corp.

·         Arch Wood Protection Corp.

·         Korea Institute of Science and Technology Information (KISTI)

·         Nisus Corporation

·         CCC Green Computing Initiative

 

Industrial Experience:

·         Senior Researcher, Internet Technology Laboratory, Electronics & Telecommunications Research Institute (ETRI), Taejon, Korea (March 1998 - July 1999)
- Design of traffic control module in inter-working gateway for real-time internet Services
- Performance evaluation of internet devices such as routers and B-ISDN terminals

·         Researcher, Quality & Reliability Engineering Laboratory, Electronics & Telecommunications Research Institute (ETRI), Taejon, Korea (March 1993 - February 1998)
- Development of information system for quality and reliability design
- Reliability and performance study of semiconductor devices and complex switching /transmission systems
- Development of a simulator for the estimation of a cutoff connection rate in the switching system
- Optimal experimental design of accelerated life tests for printed board assemblies (with KAIST)

·         Graduate Research Assistant, Manufacturing Research Center, Georigia Tech (August 2000- May 2004)
- Development of data mining tools for process improvement in manufacturing and design with Intel (the process automation group)
- Development of wavelet-based data reduction tools for decision-making with massive data with Nortel
- Process design, modeling and optimization in electronics and manufacturing processes with JDS Uniphase

·         Graduate Research Assistant, Virtual Factory Laboratory, Georigia Tech (August 1999 - July 2000)
- Implementation of 3-D simulation model for the Siemens SMT production line with Productivity Lift using a simulation tool (AutoMod) with Siemens
- Theoretical comparisons of the throughputs for flow line and cluster line with bypass segment

 

STUDENT SUPERVISION AND MENTORING

 

 

Current Ph.D. Students

·            Gianluca Gazzola (RUTCOR)

o   Dissertation topic: Big data analysis

·            Ali Tosyali

o   Dissertation topic: Big data analysis

o   Turkey National Fellowship

·            Jeongsub Choi

o   Dissertation topic: matrix factorization for data mining

·            Bilal Mula Abd

o   Dissertation topic: Big data mining

·            Behnam Tavakkol (co-advisor: Susan Albin)

o   Dissertation topic: Uncertain data mining

·            Mehmet Turkoz (co-advisor: E. A. Elsayed)

o   Dissertation topic: Multistage Quality Engineering

o   Turkey National Fellowship

·            Mejdal Alqahtani (co-advisor: E. A. Elsayed)

o   Dissertation topic: Multistage Quality Engineering

o   Saudi Arabia National Fellowship

·            Sangah Kim (co-advisor: E. A. Elsayed)

o   Dissertation topic: Multistage Quality Engineering

 

 

Current Postdocs

·            Dr. Galal Abdella (co-supervisor: E. A. Elsayed), September, 2014 – current

·            Dr. Jinho Kim (co-supervisor: E. A. Elsayed), May, 2015 – current

 

Ph.D. Students Advised

·            Byung H. Kim (Department of ISE)

o   Dissertation topic: Advanced Spatial Data Mining Methodology and Its Applications to Semiconductor Manufacturing Processes

o   Graduation in Spring of 2015

o   Current position: KISTI.

·            Andrew Rodriguez (Department of ISE; expected graduation: December, 2014)

o   Dissertation topic: Graph Mining Algorithms for the Analysis of Patent Citation Networks

o   Graduation in Spring of 2015

o   Current position: Network security team, Verizon Wireless

·            Jinho Kim (Department of ISE)

o   Dissertation: Change Point Detection in Univariate and Multivariate Processes

o   Graduated in Oct 2014 (co-advisor: Dr. Elsayed)

o   Current position: Qatar University

·            Young S. Jeong (Department of ISE)

o   Dissertation: A Methodology for Spatial and Time Series Data Mining and Its Applications

o   Graduated in Spring of 2011

o   Graduate Researcher Scholarship Award for 2008 NSF Engineering Research and Innovation Conference

o   INFORMS 2008 QSR best student paper finalist

o   INFORMS 2009 DM best student paper finalist

o   Current position: Assistant Professor, Chonnam National University, Korea.

·            Olufemi Abayomi Omitaomui (Department of Industrial and Information Engineering; University of Tennessee; underrepresented group)

o   Dissertation: On-line Learning and Wavelet-Based Feature Extraction Methodology for Process Monitoring Using High-Dimensional Functional Data

o   Graduated in Spring of 2006 (Co-advisor: Dr. Adedeji B. Badiru)

o   Current position: Research staff member at the Oak Ridge National Laboratory.

·            Inho Kang (Department of Industrial and Information Engineering; University of Tennessee)

o   Dissertation: Differentiated Intrusion Detection and Feature Selection in Anomaly Detection

o   Graduated in Summer of 2007 (Co-advisor: Dr. Dong J. Kong)

o   Current position: Principal research member at the KIDA (Korea Institute for Defense Analysis) which is one of top research institutes in Korea.

·            Zheng Du (Department of Electrical and Computer Engineering; University of Tennessee)

o   Dissertation: Integration of Spatial and Spectral Information for Hyperspectral Image Classification

o   Graduated in Summer of 2007 (Co-advisor: Dr. Seong G. Kong)

o   Current position: Research Scientist, Amazon.com, Seattle, WA.

 

Co-supervised Ph.D. Students in Other Universities

·            Manoel M. Castro Neto (Department of Civil and Environmental Engineering)

o   Dissertation: Toward Universality in Automatic Freeway Incident Detection: A Calibration-Free Algorithm (Graduated in Summer of 2009; Primary Advisor: Dr. Lee Han)

o   Current position: Assistant Professor at the Universidade Federal do Ceara.

·            Oliveira-Neto Francisco Moraes (Department of Civil and Environmental Engineering)

o   Dissertation: Text Data Mining Techniques for Automatic Speed Enforcement Using License Plate Recognition Technology (Graduate in August 2010; Primary Advisor: Dr. Lee Han)

·            Taejin Park (KAIST, Korea)

o   Dissertation: Bayesian Kriging Models for Quantile Regression in Computer Experiments (Co-advisor: B. J. Yum)

·            Sang H. Hwang (KAIST, Korea)

o   Dissertation: Regularized Robust Kernel-Based Regression and Classification (Co-advisor: B. J. Yum)

o   Graduated in Spring of 2012

o   INFORMS 2010 Data Mining best student paper (2nd place)

 

PostDocs Supervised

·            Liang Qu (co-supervisor: E. A. Elsayed), currently Assistant Professor,

·            Dr. Soo Chang Park (now at Research Faculty at Every; Ph.D. in Computer Science; Chungnam National University): Wireless Sensor Network; April 2012 – January 2013

·            Dr. Norman Kim (now at KISTI; Ph.D. in Industrial Engineering, KAIST): Data mining, recommendation systems, sensor data analysis; February 2008 – August 2011

·            Dr. Minjae Park (Assistant Professor at Hongik University; Ph.D. in Industrial and Systems Engineering, Rutgers University): Multi-stage process monitoring; July 2010 – August 2011 (co-supervised by E. Elsayed)

·            Dr. Chung Mok Lee (now Senior Research Member at ETRI; Ph.D. in Industrial Engineering, KAIST): Robust optimization, optimization based data mining, combinatorial optimization; funded by KRF (Korea Research Foundation) grant, December 2009 –November 2010

·            Dr. Kyung-Seok Shin (now at Jeonnam Technopark; Ph.D. in Industrial Engineering, Chonanm National University): Genetic algorithms, clustering, feature selection; KRF Postdoctoral fellowship, October 2008 – October 2009

·            Dr. Hyun-Woo Cho (now Assistant Professor at Taegu University, Ph.D. in Mechanical and Industrial Engineering, POSTECH), Data mining, spectra data analysis and batch process monitoring, KRF Postdoctoral fellowship; June 2005 – September 2007

·            Dr. Jong-In Park (now Research Assistant Professor at Hanyang University; Ph.D. in ISE, KAIST): Reliability modeling and life test data analysis of a secondary battery; January 2007 – September 2008

·            Dr. Young-Don Ko (now Postdoctoral Fellow at Laurentian University, Canada; Ph.D. in Electrical Engineering, Yonsei Unviversity): Semiconductor manufacturing, process monitoring and control, KRF Postdoctoral fellowship; February 2008 – December 2008

 

Graduated M.S. Students

·            Luquan Li (RUTCOR)

o   Thesis: Relief for Regression with Missing Data in Variable Selection (Graduated in May 2014)

·            Jung Han (KAIST, Korea)

o   Thesis: Comparisons of Classifications Using the Patterns Generated from the Logical Analysis of Data and Development of New Pattern Selection Methods for Reducing Overfitting (Graduated in February 2010; Advisor: B. J. Yum)

o   Current position: Research engineer at Samsung Corp.

·            Yi Fang (Department of Industrial and Information Engineering; University of Tennessee)

o   Thesis: Latent Models with Application to Spectral Data Analysis (Graduated in Fall of 2006)

o   Hilton-Smith Graduate Fellowship (2005-2006)

o   Current position: Assistant Professor, Department of Computer Engineering at Santa Clara University