Lee, Soo-Yen

• 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

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

• 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

• Tool Condition Monitoring System in CNC Machines
• Artificial Intelligence Decision Making Systems
• Sensor Technology for Online Machining
• Signal Processing for Smart Machines

• National Association of Industrial Technology (NAIT)
• Society of Manufacturing Engineers (SME)
• Epsilon Pi Tau