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Dr. Michael C. Roggemann
Professor

Office: EERC 630
Phone: (906)-487-2164
E-mail: mroggema@mtu.edu

Areas of Interest:

  • Optics
  • Signal Processing
  • Image Reconstruction and Processing
  • Pattern Recognition
  • Adaptive and Atmospheric Optics
Education:
  • Ph.D., Air Force Institute of Technology Wright-Patterson AFB, OH, 1989
    Dissertation Title: "Multiple Sensor Fusion for Detecting Targets in FLIR and Range Images"
  • M.S.E.E., Air Force Institute of Technology, Wright-Patterson AFB, OH, 1983
    Specializations: Electro-Optics, Communication Theory
  • B.S.E.E, Iowa State University, 1982

Professional Biography:

Dr. Michael C. Roggemann is a Professor of Electrical Engineering at Michigan Technological University, Houghton, MI.  He is co-author of the book “Imaging Through Turbulence”, and has authored or co-authored over 60 journal articles and over 50 conference papers.  Dr. Roggemann is a member of the IEEE, and is a Fellow of both the Optical Society of America and SPIE – The International Society for Optical Engineering.  He was also briefly affiliated with the Boeing Corporation, where he served as a senior research scientist from 2002 to 2005, and was a Technical Fellow of the Boeing Corporation.  Roggeman was an Associate Professor of Engineering Physics at the Air Force Institute of Technology, Wright-Patterson AFB, Ohio from 1992 to 1997.  He is an honorably retired Air Force Officer at the rank of Major.  

Dr. Roggemann performed his undergraduate work at Iowa University graduating in 1982 with the BSEE degree.  He performed graduate work at the Air Force Institute of Technology, completing the MSEE degree in 1983, and the Ph.D. in 1989.  Dr. Roggemann has been an electro-optics program manager at Wright Laboratories, Wright-Patterson AFB, Ohio, and an imaging researcher at the Phillips Laboratory, Kirtland AFB, NM.  His present research interests include imaging and beam projection through atmospheric turbulence, optical remote sensing system design and analysis, and signal and image processing. 


Current Class:  EE 2190





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Department of Electrical and Computer Engineering
College of EngineeringMichigan Technological University