Kenneth E. Barner

Chairperson and Professor
Electrical And Computer Engineering

University of Delaware

140 Evans Hall
Newark, DE 19716

Email: barner@udel.edu
Phone: (302) 645-6937
Fax: (302) 645-4316

Education:
  • Ph.D., Electrical Engineering, University of Delaware, 1992
    M.S., Electrical Engineering, University of Delaware, 1989
    B.S., Electrical Engineering, Lehigh University, 1987

Research Overview:

My research interests fall primarily in the areas of signal/image processing and human computer interaction (HCI). Theoretical interests drive my signal and image processing work. Of particular interest are nonlinear methods, especially rank order, joint temporal/spatial and rank order, and fuzzy methods. Problems addressed in my signal and image processing work include EEG and ECG processing, image denoising, image enhancement and compression artifact removal, nonlinear multiresolution methods for edge detection, segmentation, and data representation, volume data smoothing, video compression and processing, as well as tomosynthesis and computerized tomography. Based on my work in this area, I served as the co-chair of the 2001 IEEE-EURASIPNonlinear Signal and Image Processing (NSIP) workshop, am currently a member of the Nonlinear Signal and Image Processing Board, and currently serve as an Associate Editor for the IEEE Transactions on Signal Processing, the IEEE Signal Processing Magazine, and the EURASIP Journal of Applied Signal Processing (JASP). I am also co-editing, with Gonzalo Arce, the book Nonlinear Signal and Image Processing: Theory, Methods, and Applications, to be published by CRC Press.

My HCI research addresses primarily information access problems. Specifically, I am interested in utilizing signal processing algorithms to display information in alternative formats for general HCI problems as well as specific HCI issues encountered by individuals with disabilities. This work includes projects on tactile imaging, haptic representations of environments and data, low bandwidth transmission of video based sign language, and remote instrumentation access. The National Science Foundation (NSF) and the National Institute on Disability and Rehabilitation Research (NIDRR) have funded this work. Within this area, I am also serving as an Associate Editor for the IEEE Transactions on Neural Systems and Rehabilitation Engineering.