General Information | Degree Programs | Program Descriptions | Course Descriptions | Faculty
Programs in Applied Mathematics |
Department of Biomedical Engineering
Department of Chemical Engineering | Department of Civil Engineering
Department of Computer Science | Department of Electrical Engineering
Engineering Physics Program | Department of Materials Science and Engineering
Department of Mechanical, Aerospace, and Nuclear Engineering | Department of Systems Engineering
Research in computer engineering within the department is being conducted primarily within the Center for Semicustom Integrated Systems (CSIS). The CSIS is a collection of faculty and professional staff conducting research on the design and implementation of complex electronic systems. The center is interdisciplinary, and includes expertise in the areas of integrated circuit design, fault tolerance, reliability engineering, test technology, distributed processing, computer architecture, simulation, design automation, and expert systems. The disciplines currently represented in the center include electrical engineering, mechanical engineering, computer science and systems engineering. The center was established as a Technology Development Center by the Virginia Center for Innovative Technology, which is providing long-term support. The center provides a variety of hardware environments and software systems to support its research. Dedicated equipment available includes Sun, Sparc, and HP workstations, and special purpose hardware for designing and testing full-custom integrated circuits as well as programmable logic devices and field programmable gate arrays. State-of-the-art bench equipment is also available for printed circuit board evaluation including high-speed (> 100 MHz) logic analysis, signal analysis (> 12 GHz), and microprocessor development. An HP 82000 D100 tester is available for testing the ICs. Numerous software systems are available for design description, simulation, test pattern generation, reliability analysis and system analysis. Examples of such software include the Mentor Graphics EDA software, Vantage VHDL, UC Berkeley MAGIC, and the CARE-III reliability analysis system. The principal faculty members participating in the center include Professors Aylor, Johnson (director), Williams, Stan and Dugan. The laboratory also includes six full-time research associates.
The Communications, Control and Signal Processing Laboratory (CCSP) performs applied research in the areas of communication techniques and controls, and systems and signal processing. Recent research projects include communication over time-varying dispersive channels; applications of cyclostationarity and higher-order statistics in signal modeling and system identification; blind channel equalization; all-optical code-division multiple access communication; trellis coding for meteor burst communication; modulation and coding in spread spectrum systems; multi-user detection in CDMA systems; image motion estimation; and medical image reconstruction. Computational facilities include several Sparc stations networked to other University machines. Graduate research is complemented with course work in probability and stochastic processes, communication engineering, optical communications, estimation theory, digital signal processing, digital communication, information theory and coding, multidimensional signal processing, and adaptive signal processing. Faculty in the CSL include professor Brandt-Pearce, Giannakis, Lin, Liu, Sidiropoulos, Tao, and Wilson (director).
The focus of the Applied Electrophysics Laboratories (AEpL) is the research of novel solid-state electronic materials, devices, and circuits for microelectronic, optoelectronic, and millimeter-wave applications. The Applied Electrophysics Laboratories include the Semiconductor Device Laboratory, the Laboratory for Optics and Quantum Electronics, and the Millimeter-Wave Research Laboratory. These laboratories share major fabrication, test, and computing resources, including a 3,500 square foot clean room facility for microelectronic fabrication equipped with molecular beam epitaxy systems for epitaxial growth of III-V compound semiconductors and Si/Ge, deep UV lithography with quarter-micron capability, reactive ion etching, evaporation and sputter deposition of metals, insulators and superconducting films. Equipment available for material and device evaluation includes a field emission scanning electron microscope with one nanometer resolution, a photoluminescence system, a semiconductor parameter analyzer, a surface profiler, and a variety of optical microscopes, curve tracers, and other equipment. The instrumentation in the Laboratory for Optics and Quantum Electronics includes a tunable (720 to 1100 nm) TI: a sapphire laser pumped by an argon ion laser for both spectroscopy and testing of photonic devices, spectrometers, an automated data acquisition system, and sundry optical equipment. Microwave equipment includes network analyzers (HP8510) to 110 GHz, spectrum analyzers, sweep oscillators, and a variety of waveguide components, sources and detectors for millimeter- and submillimeter-wave applications. The AEpL also has various dedicated computer workstations for device and process simulation, including several HP735 workstations equipped with the HP Microwave Design System, and a variety of SUN workstations. Faculty in the AEpL include Professors Bean, Crowe (director), Jones, Towe, Lichtenberger, and Weikle, as well as Professor Hull from Materials Science.
The department and the University provide a wide range of computing facilities which support both research and education. The Unix laboratories provide Sun and SGI computers, X-Windows terminals, remote access to IBM RS/6000 servers, and laser and color printers. Electronic mail, Internet browsers, and other network services are available on most of the departmentís computers. Engineering software packages provide schematic capture, circuit and device simulation, and other advanced computer-aided engineering programs. Our facilities support programming in C, C++, Pascal, FORTRAN, and other programming languages.
Opportunities for graduate study leading to the degrees of Master of Science, Master of Engineering, and Doctor of Philosophy are available in the areas of automatic controls; digital systems; pattern recognition and image processing; design automation; solid state electronics; communications systems; network analysis and synthesis; microwave systems; electro-optic systems; and system modeling. A Computer Engineering Program is available which incorporates the principles of computer science and electrical engineering. The selection of the degree program depends upon the interest and background of each individual. There are a number of fellowships and research and teaching assistantships available.
In addition to the School of Engineering and Applied Science requirements for the Master of Engineering and Master of Science degrees, the department requires the student to take one course in at least three of the following areas: (1) electronics circuits and signals; (2) solid state devices; (3) communications; (4) electrodynamics; (5) computer systems; (6) control systems, and (7) signal and image processing. Also, all masterís degree students must take at least one mathematics course.
Ph.D. students are required to submit a paper related to their research to a refereed journal prior to graduation. M.S. students must submit a paper related to their research to a journal or a conference prior to graduation.
A part-time program is available which offers an employed engineer the opportunity to work toward a masterís degree while requiring a minimum of absence from work. It is designed so that over a three-year period, a minimum of two-thirds, and possibly all, of the masterís degree requirements may be completed through course work taken in the late afternoon. These courses are also available to those who wish to increase their knowledge of electrical engineering but do not wish to enroll in a formal degree program.
Areas of study include: automatic controls and robotics; computer engineering and digital systems; communication systems; solid state materials and devices; pattern recognition and machine vision; microwave system; opto-electronics; and signal processing.
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