Department of Engineering and Technology

Samson Lee  

Soo-Yen (Samson) Lee
Assistant Professor, Engineering and Technology

Office: 240 ET Building
Phone: (989) 774-5817
E-mail: lee5s@cmich.edu
 
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
   
  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
   
  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
   
  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

Faculty & Staff

Fashion and engineering

engineering with Reebok

Engineering faculty member Terry Lerch, center, and human environmental studies faculty members Tanya Domina, right, Maureen MacGillivray, center back, and Mitzi Cook discuss the potential of the whole body scanner with Boris Esterkes, Reebok senior designer.