Soo-Yen (Samson) Lee
Assistant Professor
Engineering and Technology 
ET Building 135 
989-774-5817 
​​Education
  • Ph.D., Iowa State University, 2006
  • M.S., Iowa State University, 1999
  • B.S., Inha University, South Korea, 1996
​​Professional Training
  • Mitutoyo CMM training, Mitutoyo America Corporation, 2001
  • Autodesk Inventor Training, 2000
  • MasterCAM Training, 1999
​​Affiliations
National Association of Industrial Technology (NAIT); Society of Manufacturing Engineers (SME); Epsilon Pi Tau
​​Professional Interests
Tool Condition Monitoring System in CNC Machines; Artificial Intelligence Decision Making Systems; Sensor Technology for Online Machining; Signal Processing for Smart Machines
​​Teaching Areas
Computer-Aided Design in Machine & Tool Design; Computer-Aided Engineering in Machine Design; Finite Element Analysis in Machine Design; Computer Numerical Control Machining and Programming; Geometrical Dimensioning and Tolerancing; Digital Product Definition Data Practice – 3D Annotation
​​Honors and Awards
  • Pro/Engineer Design Competition, Iowa State University; La Mécanique, Université de Technologie de Compiègne, Compiègne, France, 2000
  • Silvius/Wolansky Fellowship, Iowa State University, 2003
​​​Selected Publications and Presentations
Publications
  • Lee, S. and Chen, J. (In-progress), “Wavelet Transformation Based In-Process Tool Condition Monitoring System Using Artificial Neural Networks Systems”
  • Lee, S. and Chen, J. (In-progress), “Statistical Tool Monitoring System Using a Noble Signal Processing Method in CNC Turning Operation”
  • Smith, G.C., and  Lee, S.S. “A Method for Detecting Tool Wear on a CNC Lathe,”International Journal of Advanced Manufacturing Technology. 25 (3-4), 270-280, 2005 
  • Lee, S., and Chen, J. “An In-Process Surface Roughness Recognition System Using an Accelerometer Sensor in Turning Operations,” Journal of Engineering Technology, 20 (2), 12-18, 2003
  • Lee, S. and Chen, J. “On-Line Surface Roughness Recognition System Using Artificial Neural Networks System in Turning Operations,” International Journal of Advanced Manufacturing Technology, 22 (7-8), 498-509, 2003
Presentations
  • Lee, S., and Chen, J. “In-Process Tool Condition Monitoring System Development Using Intelligent Signal Processing,” 40th Annual Convention of the National Association of Industrial Technology, Panama City Beach, Florida. October, 2007, Submitted
  • Lee, S. “Development of Intelligent Tool Condition Monitoring Systems in CNC,” 2007 Faculty Excellence Exhibition, Central Michigan University, Mt. Pleasant, Michigan. March, 2007
  • Lee, S. “On-Line Surface Roughness Recognition System Development,” 33rd Annual Convention of the National Association of Industrial Technology, Pittsburg, Pennsylvania. November, 2000​