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Contact Us

Moscow

Contact the Department
Phone: (208) 885-6592
Toll-free: 88-88-UIDAHO
Fax: (208) 885-9052
Email: csinfo@uidaho.edu

Janssen Engineering (JEB)
Room 236

875 Perimeter Drive MS 1010
Moscow, ID 83844-1010

Idaho Falls

Contact Debbie Caudle
Phone: (208) 282-7983
Fax: (208) 282-7929
Email: debrac@uidaho.edu

1776 Science Center Drive, Suite 306
Idaho Falls, Idaho 83402

Distance Education

Engineering Outreach
Phone: (208) 885-6373
Toll-free: (800) 824-2889
Fax: (208) 885-9249
E-mail: outreach@uidaho.edu

eo.uidaho.edu

Greg Donohoe

Gregory Donohoe, Ph.D.


Office: Janssen Engineering Building 237
Phone: 208-885-6501
Email: gdonohoe@uidaho.edu

College of Engineering
Computer Science
Professor, Chair of Computer Science

Campus Locations: Moscow


  • Research/Focus Areas
    • Embedded and reconfigurable computing
    • Energy-efficient embedded computing
    • High-performance computing for signal and image processing
    • High performance digital system design
  • Biography

    Professional History: Greg has over 30 years of experience in research and development in computing systems for digital signal and image processing, seismic event detection, medical imaging, machine vision, and on-board computing for spacecraft. He was Senior Member of the Technical Staff at Sandia National Laboratories, has held faculty positions at the University of New Mexico and New Mexico Tech, was a deputy research program manager at the Air Force Research Laboratory, and Senior Scientist at Kestrel Corporation. He is the Computer Engineering program coordinator at the University of Idaho, and has collaborated with Computer Science faculty and students for several years. His research interests are low-power and reconfigurable computing architectures. Greg believes that the secret to a full life is a balance of interests and activities. He and his wife Mary particularly enjoy community music: Greg plays upright bass with the Hog Heaven Big Band and other local groups.


    Research Interests: Embedded and reconfigurable computing, Energy-efficient embedded computing, High-performance computing for signal and image processing, High performance digital system design