2015-2016 Graduate Catalog [ARCHIVED CATALOG]
Electrical Engineering (EENG)
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 Return to: Graduate Programs
GARY M. CARTER, Chair
MOHAMED YOUNIS, Graduate Program Director
Degrees Offered
M.S., Ph.D. (Degree Types )
Faculty
Professors
ADALI, TULAY, Ph.D., North Carolina State University: Statistical signal processing, machine learning for signal processing, adaptive signal processing, biomedical data analysis, and communications.
CARTER, GARY M., Ph.D., Massachusetts Institute of Technology: Optical communications, non-linear optics, lasers, bio-photonics.
CHANG, CHEIN-I, Ph.D., University of Maryland, College Park: Multispectral/hyper-spectral imaging, chemical/biological defense, automatic target recognition (ATR), computer-aided diagnosis for medical imaging, visual information systems and retrieval.
CHEN, YUNG JUI (RAY), Ph.D., University of Pennsylvania: Optical networks, integrated optics and optoelectronic integrated circuits, device physics, ultra-fast optics and non-linear optics.
CHOA, FOW-SEN, Ph.D., State University of New York, Buffalo: MOCVD growth, quantum cascade lasers, mid-IR and THz photonic devices, chip-scale integrated sensor systems, RF-photonic and optical switching devices.
JOHNSON, ANTHONY, Ph.D., City College of the City University of New York: Director of the Center for Advanced Studies in Photonics Research (CASPR); Ultra-fast optics, non-linear optics and ultra-fast photophysics of nano-structured materials.
MENYUK, CURTIS R., Ph.D., University of California, Los Angeles: Optical communications, non-linear optics, theoretical electromagnetics.
MORRIS, JOEL M., Ph.D., The Johns Hopkins University: Communication theory and statistical signal processing theory with applications in sensing, detection, estimation, and characterization, error correction codes, adaptive importance sampling for statistical performance assessment, joint time-frequency/time-scale analysis and presentations.
YAN, LI, Professor, Ph.D., University of Maryland, College Park; Ultra-fast optics, non-linear optics, solid-state and fiber lasers, optical communications.
Associate Professor
RUTLEDGE, JANET, Ph.D., Georgia Institute of Technology: Modeling and Compensating for the effects of sensorineural hearing loss and other communication disorders.
Professor of Practice
LABERGE, E.F. CHARLES, Ph.D., UMBC: Coding theory, signal processing, communication system design, interface analysis, safety-critical avionics, system engineering.
Program Description
The CSEE Department offers a graduate program (EENG/ENEE) leading to the Master of Science (M.S.) and Doctor of Philosophy (Ph.D.) degrees in Electrical Engineering (EE). The diversity of course offerings and research interests within the department, and interactions with the medical and dental schools at the University of Maryland, Baltimore, and other science and engineering departments at UMBC, encompass a broad spectrum of strictly electrical engineering and inter-disciplinary instruction and research topics. The M.S. program has three (3) possible tracks of study: (a) nano/micro/opto-electronics, photonics, and sensor technology (nEPS); (b) communications, sensor systems, and signal processing (CSSP); and (c) systems engineering (SE). The Ph.D. program has only the first two (2) tracks of study (nEPS and CSSP). The faculty’s interests and the various topics defining these tracks of study are:
Communications: random processes, detection and estimation theory, information theory, source and channel coding, communication theory, wired/wireless/optical-fiber communications, data compression, adaptive and machine-learning techniques.
Nano/micro/opto-electronics: solid-state electronics, semiconductor devices and processing technology, semiconductor opto-electronics, compound semiconductor electronics, and integrated circuits.
Photonics: electromagnetic theory, quantum electronics, solid-state and fiber lasers, semiconductor and quantum-cascade lasers, fiber-optic communications, optical networking and interconnections, nonlinear/integrated optics/ultra-fast/sub-wavelength optics, and bio/nano/silicon-photonics.
Sensor Technology: bio-chemical and opto-electronic-sensors.
Signal Processing: signal and linear system theory; digital signal processing (DSP); statistical signal processing (detection, estimation, machine-learning); adaptive and learning techniques; speech processing; pattern recognition; spectral, time-frequency, and joint-domain analysis; biomedical signal processing; and sensor-based systems and networks.
Image Processing: automatic target recognition, pattern recognition, image coding and compression, multi-/hyper-spectral imaging, biomedical imaging and image analysis, visual information systems and retrieval.
Systems Engineering: life-cycles of complex systems; system architecture and design; system modeling, simulation, and analysis; system implementation, integration, and test; and systems of systems.
ENEE students, except for those in the SE track, may select their course and research plan in one track of study or in an interdisciplinary area approved by their advisor and the Graduate Program Director. A departmental brochure that describes in more detail the department, its graduate programs, degree requirements, and the research interests of the faculty can be obtained from the graduate program specialist or can be viewed at either the CSEE Department or ENEE Graduate Program websites, www.csee.umbc.edu or www.cs.umbc.edu/programs/graduate/electrical-engineering-ms-phd/, respectively.
Program Admission Requirements
When seeking admission to the graduate program in Electrical Engineering, applicants must satisfy all entrance requirements of the Graduate School at UMBC. These include the submission of official transcripts, three letters of recommendation, statement of purpose, Graduate Record Examination (GRE General Test) scores and, for international students, scores for the TOEFL. All original application materials must be sent directly to the Graduate School, not the graduate program. Application deadlines for international and domestic students are January 1/June 1 for the fall semester, and June 1/November 1 for the spring semester. The application review process will begin by January 1 for admission in the fall semester, and by October 1 for admission in the following spring semester. Early application is recommended.
In addition to the requirements of the graduate school, minimum requirements for admission to the graduate program in Electrical Engineering are a B.S. degree from an ABET-accredited undergraduate program in Electrical Engineering with a GPA equivalent to ‘B+’ or higher. Individuals whose records indicate strong potential for successful pursuit of the master’s or doctoral degree objectives and who have similar undergraduate preparation with strong academic records in computer science, mathematics, physics or other areas of engineering or science are encouraged to apply (B.S. degrees in engineering technology are not considered equivalent to the B.S. degree in engineering or the B.A. degree in the sciences). Students whose degrees are not in electrical engineering generally will be required to take courses to make up deficiencies in their backgrounds. Students who plan to pursue the Ph.D. degree but who do not already have an M.S. degree are advised to apply for admission to the M.S. program. Applicants are judged competitively by the program’s admissions committee, and those who appear suitably qualified to complete the requirements of the intended degree program successfully are selected for admission, subject to available resources. Applications are not processed until all documents and fees are received.
Facilities and Special Resources
Faculty and students in the electrical engineering program at UMBC have access to extensive computational resources. The research and instructional activities of the department are supported by a number of new modern laboratories. Laser-based laboratories support research in ultra-fast non-linear optics and optical spectroscopy, solid state, diode and 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, micro/nano device structures and processing technologies via CAIBE. Compound semiconductor growth research, such as quantum cascade lasers, is being pursued using MOCVD techniques. The optical communication and optical networking laboratories contains high-performance, fiber-optics communication equipment to perform experiments in digital transmission using multi-channels over long distances and optical networking. The communications and signal processing laboratory supports research in the areas of communication theory and statistical signal processing theory with their applications. The remote sensing signal and image processing laboratory supports research in multi-spectral and hyper-spectral imagery, pattern recognition, target tracking and detection, image coding and progressive image transmission, computer vision, and medical imaging. The machine learning laboratory supports research in theory and algorithms in adaptive and/or non-linear signal processing for communications and biomedical image analysis. Collaborations with nearby federal facilities include ARL, LTS, LPS, NASA, NIH, NIST, and NRL, and with the Kennedy Krieger Center at Johns Hopkins University and the Department of Radiology at the University of Maryland Medical School.
Financial Assistance
Financial aid is available on a competitive basis to a limited number of qualified graduate students in the form of graduate teaching assistantships (TAs), graduate research assistantships (RAs), work-study positions, and hourly employment as graders. Graduate RAs are often available to students actively engaged in a master’s thesis or doctoral dissertation research, and are awarded and renewed subject to availability of funds and satisfactory research progress. Students are encouraged to apply directly to nationally awarded fellowship programs.
Course Listing
For ENEE (also CMPE and CMSC) course descriptions, and current year special topic course listings and descriptions, see the CSEE Graduate Program(s) website www.cs.umbc.edu/programs/graduate/ or CSEE Department website www.csee.umbc.edu. The set of ENEE 691 courses address specialized electrical engineering topics representing the research focus of the faculty, and are scheduled according to student and faculty interests.
ProgramsCoursesElectrical Engineering
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