UMBC CSEE Computer Science and Electrical Engineering
University of Maryland Baltimore County
Baltimore Maryland 21250 USA
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Facilities and Special Resources:

Computer Science: The Department's computing facilities includeSun and Silicon Graphics workstations, SGI Crimson and SPARC servers, and high performance graphics workstations (SGI Indigo2, Onyx Reality Engine2). The University Computing Services has over 400 workstations for general student use and several highend machines, including a Silicon Graphics Challenge XL 20processor system. The university's Imaging Research Center also provides highend graphics support, including production quality input/output devices and production software (Wavefront, Softimage and Alias).

Electrical Engineeringi: Faculty and students in the ElectricalEngineering Program at UMBC have access to UMBC's and UMCP's super minicomputer computing resources supporting VMS and Unix, and to several Cray super computers at NERSC and SDSC. The Department also has substantial computing resources acquired with the new (1992) Engineering and Computer Science Building:

  1. SGI Iris Indigo workstations served by SGI Crimson servers
  2. SUN workstations, and
  3. a network of Apple Macintosh and 486/Pentiumbased personal computers
The research and instructional activities of the Department are supported by a number of new modern laboratories. Laserbased laboratories support research in ultrafast nonlinear optics and optical spectroscopy, coherent optical communications, diode laser physics, novel diode laser structures, and optical fiber lasers. Device fabrication laboratories support research in optical and electronic properties of compound semiconductors and organic polymers, and in exploring and developing new materials, submicron device structures, and processing technologies via CAIBE. Compound semiconductorgrowth research is being pursued using MOCVD techniques. A new remote sensing signal and image processing laboratory supports research in multispectral and hyperspectral imagery, pattern recognition, target tracking and detection, image coding and progressive image transmission, computer vision, and medical imaging. The Communications and Signal Processing Laboratory, and the Information Systems Laboratory support research in adaptive equalization and coding for fading multipath channels, communication system simulation software development, adaptive aperture techniques for optical communications, digital speech processing, DSP and adaptive signal processing algorithms, joint timefrequency and timescale representations and analysis techniques, cyclostationary signal processing, atmospheric pollutants and chemical agent detection via FTIR spectrometry, and biomedical signal processing.

Outplacement: Graduating students find jobs in industry, business, government, and universities.


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