Myong K. (MK) Jeong

Myong K. Jeong received the Ph.D. degree in industrial and systems engineering from the Georgia Institute of Technology, Atlanta, Georgia, in 2004. He is currently an Assistant Professor in the Department of Industrial and Systems Engineering and the Center for Operations Research, Rutgers, the State University of New Jersey. His research interests include statistical data mining, statistical pattern recognition, electronics manufacturing, semiconductor manufacturing processes, and sensor data analysis. He is a member of IEEE,the Institute for Operations Research and the Management Sciences (INFORMS), Institute of Industrial Engineers (IIE), and Society of Manufacturing Engineers (SME). He won National Science Foundation (NSF) CAREER Award in 2007 and the Freund International Scholarship in 2002.

Biography Updated on 24 September 2008

Articles in Scholarly Journals [Incomplete List]

  1. Online Support Vector Regression Approach for the Monitoring of Motor Shaft Misalignment and Feedwater Flow Rate
    IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews), vol. 37, no. 5, pp. 962–970, 2007
  2. Data-reduction method for spatial data using a structured wavelet model
    International Journal of Production Research, vol. 45, no. 10, pp. 2295–2311, 2007
  3. Band Selection of Hyperspectral Images for Automatic Detection of Poultry Skin Tumors
    IEEE Transactions on Automation Science and Engineering, vol. 4, no. 3, pp. 332–339, 2007
  4. Data reduction for multiple functional data with class information
    International Journal of Production Research, vol. 44, no. 14, pp. 2695–2710, 2006
  5. Wavelet-based SPC procedure for complicated functional data
    International Journal of Production Research, vol. 44, no. 4, pp. 729–744, 2006
  6. Adaptive support vector regression analysis of closed-loop inspection accuracy
    International Journal of Machine Tools and Manufacture, vol. 46, no. 6, pp. 603–610, 2006
  7. A Vertical-Energy-Thresholding Procedure for Data Reduction With Multiple Complex Curves
    IEEE Transactions on Systems, Man and Cybernetics, Part B (Cybernetics), vol. 36, no. 5, pp. 1128–1138, 2006
  8. Wavelet-Based Data Reduction Techniques for Process Fault Detection
    Technometrics, vol. 48, no. 1, pp. 26–40, 2006
  9. On-Line Prediction of Motor Shaft Misalignment Using Fast Fourier Transform Generated Spectra Data and Support Vector Regression
    Journal of Manufacturing Science and Engineering, vol. 128, no. 4, p. 1019, 2006
  10. Optimal Automatic Control of Multistage Production Processes
    IEEE Transactions on Semiconductor Manufacturing, vol. 18, no. 1, pp. 94–103, 2005
  11. Throughput Gain With Parallel Flow in Automated Flow Lines
    IEEE Transactions on Automation Science and Engineering, vol. 2, no. 1, pp. 84–86, 2005
  12. Thresholded scalogram and its applications in process fault detection
    Applied Stochastic Models in Business and Industry, vol. 19, no. 3, pp. 231–244, 2003