Department of Electrical Engineering
http://www.utdallas.edu/dept/ee
Professors:
Naofal Al-Dhahir, Larry P. Ammann, Poras T. Balsara, Dinesh Bhatia, Andrew J.
Blanchard, Cyrus D. Cantrell III, Yves J. Chabal, David E. Daniel, Babak
Fahimi, John P. Fonseka, William R. Frensley, Andrea F. Fumagalli, Matthew
Goeckner, Bruce E. Gnade, John H. L. Hansen, C. R. Helms, Louis R. Hunt
(emeritus), Nasser Kehtarnavaz, Kamran Kiasaleh, Moon J. Kim, Gil S. Lee, Philipos
C. Loizou, Duncan L. MacFarlane, Aria Nosratinia, Kenneth O, Raimund J. Ober,
Lawrence J. Overzet, William Pervin (emeritus), Mario A. Rotea, Carl Sechen,
Mark W. Spong, Don W. Shaw (emeritus), Lakshman S. Tamil, Mathukumalli
Vidyasagar, Robert M. Wallace, Dian Zhou
Associate Professors: Gerald O.
Burnham, Yun Chiu, Jiyoung Kim, Jeong-Bong Lee, Jin Liu, Dongsheng Ma, Hlaing Minn, Won Namgoong,
Mehrdad Nourani, Issa Panahi, Robert Rennaker, M. Saquib, Murat Torlak, Eric
Vogel
Assistant Professors: Bhaskar
Banerjee, Leonidas Bleris, Carlos A. Busso, Nicholas Gans, Rashaunda Henderson, Walter
Hu, Roozbeh Jafari, Hoi Lee
Research Professors: Walter Duncan, Sam
Shichijo
Research Assistant Professors: Wooil Kim, Kostas Kokkinakis
Senior Lecturers: Charles P.
Bernardin, Nathan B. Dodge, Edward J. Esposito, Jung Lee, Randall E. Lehmann,
P. K. Rajasekaran, Ricardo E. Saad, Marco Tacca
The program leading to the M.S.E.E. degree provides
intensive preparation for professional practice in a broad spectrum of high-technology
areas of electrical engineering. It is designed to serve the needs of engineers
who wish to continue their education. Courses are offered at a time and
location convenient for the student who is employed on a full-time basis.
The objective of the doctoral program in electrical
engineering is to prepare individuals to perform original, leading edge
research in the broad areas of communications and signal processing; digital
systems; microelectronics and nanoelectronics, optics, optoelectronics;
lightwave devices and systems; and wireless communications. Because of our
strong collaborative programs with Dallas-area high-technology companies,
special emphasis is placed on preparation for research and development
positions in these high-technology industries.
The Erik Jonsson School of Engineering and Computer Science has developed a state-of-the-art information infrastructure
consisting of a wireless network in all buildings and an extensive fiber-optic and
copper Ethernet. Through the Texas Higher Education Network, students and
faculty have direct access to most major national and international networks. UT-Dallas
has an Internet 2 connection. In addition, many personal computers and UNIX
workstations are available for student use.
The Engineering and Computer Science Building and the new
Natural Science and Engineering Research Laboratory provide extensive
facilities for research in microelectronics, telecommunications, and computer
science. A Class 10000 microelectronics clean room facility, including e-beam
lithography, sputter deposition, PECVD, LPCVD, etch, ash and evaporation, is
available for student projects and research. The Plasma Applications and
Science Laboratories have state-of-the-art facilities for mass spectrometry,
microwave interferometry, optical spectroscopy, optical detection, in situ ellipsometry and FTIR spectroscopy. In addition, a
modified Gaseous Electronics Conference Reference Reactor has been installed
for plasma processing and particulate generation studies. Research in
characterization and fabrication of nanoscale materials and devices is
performed in the Nanoelectronics Laboratory. The Optical Measurements Laboratory has
dual wavelength (visible and near infrared) Gaertner Ellipsometer for optical
inspection of material systems, a variety of interferometric configurations,
high precision positioning devices, and supporting optical and electrical
components. The Optical Communications Laboratory includes attenuators, optical
power meters, lasers, APD/p-i-n photodetectors, optical tables, and couplers
and is available to support system level research in optical communications.
The Photonic Testbed Laboratory supports research in photonics and optical
communications with current-generation optical networking test equipment. The
Nonlinear Optics Laboratory has a network of Sun workstations for the numerical
simulation of optical transmission systems, optical routers and all-optical
networks. The Electronic Materials Processing laboratory has extensive
facilities for fabricating and characterizing semiconductor and optical
devices. The Laser Electronics Laboratory houses graduate research projects
centered on the characterization, development and application of ultrafast dye
and diode lasers.
The Center for Integrated Circuits and Systems (CICS)
promotes education and research in the following areas: digital, analog and
mixed-signal integrated circuit design and test; multimedia, DSP and telecom
circuits and systems; rapid-prototyping; computer architecture and CAD
algorithms. There are several laboratories affiliated with this center. These
laboratories are equipped with a network of workstations, personal computers,
FPGA development systems, prototyping equipment, and a wide spectrum of
state-of-the-art commercial and academic design tools to support graduate
research in circuits and systems.
The
Renewable Energy and Vehicular Technology Laboratory (REVT-Lab) is equipped
with various sources of renewable energy such as wind and solar, a micro-grid
formed by a network of multi- port power electronic converters, a stationary
plug in hybrid vehicle testbed, a stationary DFIG-based wind energy emulator, a
series of adjustable speed motor drive technologies including PMSM, SRM and
induction motor drives. All of the testbeds are equipped with digital control,
state-of-the-art measurement and protection devices. REVT laboratory is also
equipped with a cold plasma chamber for hydrogen harvesting and battery testing
facilities. The main focus of the REVT Lab is to improve reliability and
security of the power electronic-driven technologies as applied to utility and
vehicular industries.
The Multimedia Communications Laboratory has a dedicated
network of PC’s, Linux stations, and multi-processor, high performance
workstations for analysis, design and simulation of image and video processing
systems. The Signal and Image Processing (SIP) Laboratory has a dedicated
network of PC's equipped with digital camera and signal processing hardware
platforms allowing the implementation of advanced image processing algorithms. The Statistical Signal Processing
Laboratory is dedicated to research in statistical and acoustic signal
processing for biomedical and non-biomedical applications. It is equipped with high-performance
computers and powerful textual and graphical software platforms to analyze
advanced signal processing methods, develop new algorithms, and perform system
designs and simulations. The Acoustic
Research Laboratory provides number of test-beds and associated equipment for
signal measurements, system modeling, real-time implementation and testing of
algorithms related to audio/acoustic/speech signal processing applications such
as active noise control, speech enhancement, dereverberation, echo
cancellation, sensor arrays, psychoacoustic signal processing, etc.
The
Center for Robust Speech Systems (CRSS) is focused on a wide range of research
in the area of speech signal processing, speech and speaker recognition, speech/language
technology, and multi-modal signal processing involving facial/speech
modalities. CRSS is affiliated with HLTRI in the Erik Jonsson School, and
collaborates extensively with faculty and programs across UTD on speech and language
research. CRSS supports an extensive network of workstations, as well as a
High-Performance Compute Cluster with over 15TB of disk space and 72 CPU ROCS multi-processor
cluster. The center also is equipped with several Texas Instruments processors
for real-time processing of speech signals, and two ASHA certified sound booths
for perceptual/listening based studies and for speech data collection. CRSS
supports mobile speech interactive systems through the UTDrive program for
in-vehicle driver-behavior systems, and multi-modal based interaction systems
via image-video-speech research.
The Broadband Communication Laboratory has design and
modeling tools for fiber and wireless transmission systems and networks, and
all-optical packet routing and switching. The Advanced Communications
Technologies (ACT) Laboratory provides a design and evaluation environment for
the study of telecommunication systems and wireless and optical networks. ACT
has facilities for designing network hardware, software, components, and
applications.
The Center for Systems, Communications, and Signal
Processing, with the purpose of promoting research and education in general
communications, signal processing, control systems, medical and biological
systems, circuits and systems and related software, is located in the Erik
Jonsson School.
The Wireless Information Systems (WISLAB) and Antenna
Measurement Laboratories have wireless experimental equipment with a unique
multiple antenna testbed to integrate and to demonstrate radio functions (i.e.
WiFi and WiMAX) under different frequency usage characteristics. With the aid
of the Antenna Measurement Lab located in the Waterview Science and Technology
Center (WSTC), the researchers can design, build, and test many types of antennas.
The faculty of the Erik Jonsson School’s Photonic Technology
and Engineering Center (PhoTEC) carry out research in enabling technologies for
microelectronics and telecommunications. Current research areas include
nonlinear optics, Raman amplification in fibers, optical switching,applications of optical lattice filters,
microarrays, integrated optics, and optical networking.
In addition to the facilities on campus, cooperative
arrangements have been established with many local industries to make their
facilities available to U.T. Dallas graduate engineering students.
The University’s general admission requirements are
discussed here.
A student lacking undergraduate prerequisites for graduate
courses in electrical engineering must complete these prerequisites or receive
approval from the graduate adviser and the course instructor.
A diagnostic exam may be required. Specific admission
requirements follow.
The student entering the M.S.E.E. program should meet the
following guidelines:
•
An undergraduate preparation equivalent
to a baccalaureate in electrical engineering from an accredited engineering
program, A grade point average in upper-division quantitative course work of
3.0 or better on a 4-point scale, and GRE scores of 500, 700 and 4 for the
verbal, quantitative and analytical writing components, respectively, are
advisable based on our experience with student success in the program.
•
Applicants must submit three letters of
recommendation from individuals who are able to judge the candidate’s
probability of success in pursuing a program of study leading to the master’s
degree.
•
Applicants must also submit an essay
outlining the candidate’s background, education and professional goals.
Students from other engineering disciplines or from other science and math
areas may be considered for admission to the program; however, some additional
course work may be necessary before starting the master’s program.
The University’s general degree requirements are discussed here.
The M.S.E.E. requires a minimum of 33 semester hours.
All students must have an academic advisor and an approved
degree plan. These are based upon the student’s choice of concentration (Biomedical
Applications of Electrical Engineering; Circuits and Systems; Communications
and Signal Processing; Control Systems; Digital Systems; Optical Devices,
Materials and Systems; RF and Microwave Engineering, Solid State Devices and
Micro Systems Fabrication). Courses taken without advisor approval will not
count toward the 33 semester-hour requirement. Successful completion of the
approved course of studies leads to the M.S.E.E. degree.
The M.S.E.E. program has both a thesis and a non-thesis
option. All part-time M.S.E.E. students will be assigned initially to the
non-thesis option. Those wishing to elect the thesis option may do so by
obtaining the approval of a faculty thesis supervisor. With the prior approval
of an academic advisor, non-thesis students may count no more than 3 semester-hours
of research or individual instruction courses towards the 33-hour degree
requirement.
All full-time, supported students are required to
participate in the thesis option. The thesis option requires six semester hours
of research (of which three must be thesis hours), a written thesis submitted
to the graduate school, and a formal public defense of the thesis. The
supervising committee administers this defense and is chosen in consultation
with the student’s thesis adviser prior to enrolling for thesis credit.
Research and thesis hours cannot be counted in an M.S.E.E. degree plan unless a
thesis is written and successfully defended.
One of the eight concentrations listed below, subject to
approval by a graduate adviser, must be used to fulfill the requirements of the
M.S.E.E. program. Students must achieve an overall GPA
of 3.0 or better, a GPA of 3.0 or better in their core MSEE classes, and a grade
of B- or better in all their core MSEE classes in order to satisfy their degree
requirements.
Biomedical Applications of Electrical
Engineering
This curriculum provides a graduate-level introduction to
advanced methods and biomedical applications of electrical engineering.
Each student electing this concentration must take EEBM
6371, EEBM 6373, EEBM 6374, and two core courses from any one other concentration.
(15 hours).
Approved electives must be taken to
make a total of 33 hours.
Depending
on the specific orientation of the course program it can be very beneficial to
the student to take courses from other departments (e.g. Biology, Chemistry,
Brain and Behavioral Sciences, Computer Science-Bioinformatics). Typically, not
more than three approved courses can be taken outside the EE department.
Additional courses can be taken only with the explicit approval by the
Department Head.
It
is highly recommended that students take an independent study course with an EE
faculty member that will be counted as one of the EE electives. The independent
study course is intended to gear the coursework towards one of the following
research areas in the department: Biosensors, biomedical signal processing,
bioinstrumentation, medical imaging, biomaterials, and bioapplications in RF.
The courses in this curriculum emphasize the design and test
of circuits and systems, and the analysis and modeling of integrated circuits.
Each student electing this concentration must take five
required courses: Two of the courses are: EECT 6325 and EECT 6326. The
remaining three must be selected from EEDG 6301, EEDG 6303, EEDG 6306, EEDG
6375, EECT 7325, EECT 7326, EECT 6378 and EERF 6330 (15 hours).
Approved electives must be taken to make a total of 33
hours.
Communications and Signal Processing
This curriculum emphasizes the application and theory of all
phases of modern communications and signal processing.
Each student electing this concentration must take EESC
6349, EESC 6352, and EESC 6360, and one of the following: EESC 6331, EESC 6340,
EESC 6350 (12 hours).
Approved electives must be taken to make a total of 33
hours.
Control Systems
This curriculum emphasizes methods to
predict, estimate and regulate the behavior of electrical, mechanical, or other
systems including robotics.
Each student electing this concentration must take four
required courses: EESC 6331, EEGR 6332, EEGR 6336 and EESC 6349 (12 hours).
Approved electives must be taken to
make a total of 33 hours.
Digital Systems
The goal of the curriculum is to educate students about
issues arising in the design and analysis of digital systems, an area relevant
to a variety of high-technology industries. Because the emphasis is on systems,
course work focuses on three areas: hardware design, software design, analysis
and modeling.
Each student electing this concentration must take four
required courses. Two of the courses are EEDG 6301 and EEDG 6304. The remaining
two must be selected from EEDG 6302, EECT 6325, and EEDG 6345 (12 hours).
Approved electives must be taken to make a total of 33
hours.
Optical Devices, Materials and Systems
This curriculum is focused on the application and theory of
modern optical devices, materials and systems.
Each student electing this concentration must take the
following four required courses: EEOP 6314, EEGR 6316, EEOP 6317, and at least
one of the following two courses: EEOP 6310 and EEOP 6329. (12 hours).
Approved electives must be taken to make a total of 33
hours.
RF and Microwave Engineering
This curriculum is focused on the application and theory of
modern electronic devices, circuits and systems in the radiofrequency and
microwave regime.
Each student electing this concentration must take the
following four required courses: EERF 6311, EEGR 6316, EERF 6355, and EERF
6395. (12 hours).
Approved electives must be taken to make a total of 33
hours.
Solid State Devices and Micro Systems
Fabrication
This concentration is focused on the fundamental principles,
design, fabrication and analysis of solid-state devices and associated micro
systems.
Each student electing this concentration must take the
following two courses: EEGR 6316, EEMF 6319 and at least two of the following
four courses: EEMF 6320, EEMF 6321, EEMF 6322 and EEMF 6382
Additional standard electives include but are not limited
to: EEMF 5383/EEMF 5283, EEMF 6324, EECT 6325, EEMF 6372, EEMF 6383/EEMF 6283,
EEMF 6382, EEMF 7320, EECT 7325.
Approved electives must be taken to make a total of 33
hours.
The University’s general admission requirements are
discussed here.
The Ph.D. in Electrical Engineering is awarded primarily to
acknowledge the student’s success in an original research project, the
description of which is a significant contribution to the literature of the
discipline. Applicants for the doctoral program are therefore selected by the
Electrical Engineering Program Graduate Committee on the basis of research
aptitude, as well as academic record. Applications for the doctoral program are
considered on an individual basis.
The following are guidelines for admission to the Ph.D.
program in Electrical Engineering:
•
A master’s degree in electrical
engineering or a closely associated discipline from an accredited U.S.
institution, or from an acceptable foreign university. Consideration will be
given to highly qualified students wishing to pursue the doctorate without
satisfying all of the requirements for a master’s degree. GRE scores of 500,
700 and 4 for the verbal, quantitative and analytical writing components,
respectively, are advisable based on our experience with student success in the
program.
•
Applicants must submit three letters of
recommendation on official school or business letterhead or the UTD Letter of
Recommendation Form from individuals who are familiar with the student’s record
and able to judge the candidate’s probability of success in pursuing doctoral
study in electrical engineering.
•
Applicants must also submit a narrative
describing their motivation for doctoral study and how it relates to their
professional goals.
For students who are interested in a Ph.D. but are unable to
attend school full-time, there is a part-time option. The guidelines for
admission to the program and the degree requirements are the same as for
full-time Ph.D. students. All students must have an academic adviser and an
approved plan of study.
The University’s general degree requirements are discussed here.
Each program for doctoral study is individually tailored to
the student’s background and research objectives by the student’s supervisory
committee. The program will require a minimum of 90 semester credit hours
beyond the baccalaureate degree. These credits must include at least 30
semester hours of graduate level courses beyond the baccalaureate level in the
major concentration. All PhD students must demonstrate competence in the
Master's level core courses in their research area. All students must have an academic advisor
and an approved plan of study.
Also required are:
•
A research oriented oral qualifying
examination (QE) demonstrating competence in the Ph.D. candidate’s research
area. A student must make an oral presentation based on a review of 2 to 4
papers followed by a question-answer session. Admission to Ph.D. candidacy is
based on two criteria: Graded performance in the QE and GPA in graduate level
organized courses. A student entering the Ph.D. program with a
M.S.E.E. must pass this exam within 3 long semesters, and a student entering
without an M.S.E.E. must pass this exam within 4 long semesters. A student has
at most two attempts at this qualifying exam. The exam will be given during the
fall and spring semesters. A comprehensive
exam consisting of: a written dissertation proposal, a public seminar, and a
private oral examination conducted by the Ph.D. candidate’s
supervising committee.
•
Completion of a major research project
culminating in a dissertation demonstrating an original contribution to
scientific knowledge and engineering practice. The dissertation will be
defended publicly. The rules for this defense are specified by the Office of
the Dean of Graduate Studies. Neither a foreign language nor a minor is
required for the Ph.D. However, the student’s supervisory committee may impose
these or other requirements that it feels are necessary and appropriate to the
student’s degree program.
The principal concentration areas for the M.S.E.E. program
are: Communications and Signal Processing; Digital Systems; Circuits and
Systems; Optical Devices, Materials, and Systems; and Solid-State Devices and
Micro Systems Fabrication. Besides courses required for each concentration, a
comprehensive set of electives is available in each area.
Doctoral level research opportunities include: VLSI design
and test, analog and mixed-signal circuits and systems, RF and microwave
engineering, biomedical applications of electrical engineering, power
electronics, renewable energy, vehicular technology, computer architecture,
embedded systems, computer aided design (CAD), ASIC design methodologies, high
speed system-on chip design and test, reconfigurable computing, network
processor design, interconnection networks, nonlinear signal-processing, smart
antennas and array processing, statistical and adaptive signal processing,
multimedia signal processing, image processing, real-time imaging, medical
image analysis, pattern recognition, speech processing and recognition, control
theory, digital communications, modulation and coding, electromagnetic-wave
propagation, diffractive structures, fiber and integrated optics, nonlinear
optics, optical transmission systems, all-optical networks, optical
investigation of material properties (reflectometry and ellipsometry), optical
metrology, lasers, quantum-well optical devices, theory and experiments in
semiconductor-heterostructure devices, plasma deposition and etching,
nanoelectronics, wireless communication, network protocols and evaluation,
mobile computing and networking, and optical networking.
Interdisciplinary Opportunities: Continuing with the established
tradition of research at U. T. Dallas, the Electrical Engineering Program
encourages students to interact with researchers in the strong basic sciences
and mathematics. Cross disciplinary
collaborations have been established with the Chemistry, Mathematics, and
Physics programs of the School of Natural Sciences and with faculty in the
School of Brain and Behavioral Science.