Department of Electrical Engineering
http://www.utdallas.edu/dept/ee
Professors:
Naofal Al-Dhahir, , Poras T. Balsara, Dinesh Bhatia, Andrew J. Blanchard, Cyrus
D. Cantrell III, David E. Daniel, Babak Fahimi, John P. Fonseka, William R.
Frensley, Andrea F. Fumagalli, John H. L. Hansen, C.
R. Helms, Louis R. Hunt (emeritus), Nasser Kehtarnavaz,
Kamran Kiasaleh, Gil S. Lee, Jeong-Bong Lee, Philipos C. Loizou, Duncan L. MacFarlane,
Aria Nosratinia, Mehrdad Nourani, Kenneth O, Raimund J. Ober, Lawrence J.
Overzet, William Pervin (emeritus), Carl Sechen, Mark
W. Spong, Don W. Shaw (emeritus), Lakshman S. Tamil, Dian Zhou
Associate Professors: Gerald O. Burnham, Yun Chiu, Walter Hu, Hoi Lee, Jin
Liu, Dongsheng Ma, Yiorgos Makris, Hlaing Minn, Won Namgoong, Issa Panahi, Robert
Rennaker, M. Saquib, Murat Torlak
Assistant Professors: Bhaskar Banerjee, Carlos A.
Busso, Nicholas Gans, Rashaunda Henderson, Roozbeh Jafari
Research Professors: Walter Duncan, Sam Shichijo
Research Assistant Professors: Wooil Kim
Senior Lecturers: Charles P. Bernardin, Nathan B. Dodge, Edward J. Esposito,
Jung Lee, Randall E. Lehmann, P. K. Rajasekaran, Ricardo E. Saad,
Marco Tacca
Affiliated Faculty: Larry
P. Ammann (Math Sciences), Leonidas Bleris (Bioengineering), Yves J. Chabal
(Materials Science and Eng.), Matthew Goeckner (Math Sciences), Bruce E. Gnade
(Materials Science and Eng.), Jiyoung Kim (Materials Science and Eng.), Moon J. Kim (Materials Science and Eng.),
Yang Liu (Computer Science), Mario A. Rotea (Mechanical Eng.), Mathukumalli
Vidyasagar (Bioengineering), Robert M. Wallace (Materials Science and Eng.),
Stephen Yurkovich (Systems Engineering)
Objectives
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; mixed-signal IC design;
digital systems; power electronics; 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.
Facilities
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 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 Texas Analog Center of Excellence (TxACE) at the University of Texas at Dallas (UTD) has the
mission of leading the country in analog research and education. TxACE research seeks to create fundamental analog, mixed
signal and RF design innovations in integrated circuits and systems that
improve energy efficiency, healthcare, and public safety and security. The
center is supported by Semiconductor Research Corporation, Texas Emerging
Technology Fund, Texas Instruments Inc., the UT system, and UTD. TxACE is the largest analog technology center in the world
on the basis of funding and the number of principal investigators. The center
funds ~70 directed research projects led by ~65 principal and co-principal
investigators from 31 academic institutions including three international
institutions.
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 20TB of disk space and 135 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 Sensing, Robotics, Vision, Control and
Estimation (SeRViCE) Lab focuses on topics of control
and estimation with applications in robotics, autonomous vehicles and sensor
management. Primary expertise is in vision-based control and estimation and
nonlinear control, that is, using cameras as the primary sensor to control
robots or other complex systems. Robotics
resources in the lab currently include two Pioneer 3-DX mobile robots from
Mobile Robots Inc. and a Stäubli TX90 robot
manipulator, with six degrees of freedom, 7kg nominal payload and capable of
torque level control. Camera
resources include multiple web cameras, three high-quality, firewire,
color, digital video cameras, and an 18Mp digital SLR camera. The SeRViCE
Lab also features general support equipment, including desktop and mobile work
stations DLP projectors, power tools, hand tools, oscilloscopes, and other
electronic measurement equipment.
The Laboratory for Autonomous Robotics and
Systems (LARS) focuses on the development of novel control theory to support
autonomous and teleoperation of general robotic
systems. Active research projects
include: (a) human-in-the-loop multi-robot telemanipulation,
(b) autonomous networked robotics, and (c) control of bipedal walking robots. The LARS is equipped with high speed
high resolution 8-camera Vicon motion capture system
for general purpose motion tracking. The LARS possesses various mobile robots
to supported multi-robot research, including six gumstix
controlled iRobot Creates and a Quanser QBall quadrotor UAV. The LARS
also possesses various force feedback user interface devices, including
Logitech force feedback joystick and driving wheel, and Novint
Falcon, a 3-translational degree-of-freedom Delta-structure desktop haptic
device.
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; Control Systems; Digital Systems; Optical Devices,
Materials and Systems; RF and Microwave Engineering, Signal Processing; 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 nine 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 nine 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 bio-applications in RF.
Circuits and Systems
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 7327, EECT 6378 and EERF
6330 (15 hours).
Approved
electives must be taken to make a total of 33 hours.
Communications
This curriculum emphasizes the
application and theory of all phases of modern communications.
Each student electing this
concentration must take EESC 6349 and EESC 6352, and two of the following: EESC
5305, EESC 6310, EESC 6340, EESC 6341, EESC 6343, EESC 6344, EESC 6353, EESC
6360, EESC 6390 (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, and any four of the following: EESC 6364, EEDG 6370, EEGR 6381,
CS 6384, MECH 6302, EEMF 6382, EESC 6350, EESC 6363, EESC 6366, CS 6364, CS
6373, CS 6375, CS 5349, CS 6396 (24 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.
Signal Processing
This curriculum emphasizes the
application and theory of signal processing.
Each student electing this concentration
must take EESC 6349 and EESC 6360, and two of the following: EESC 6343, EESC 6350,
EESC 6361, EESC 6362, EESC 6363, EESC 6364, EESC 6365, EESC 6366, EESC 6367,
EESC 7V85 (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.
Each student electing the Graduate Certificate in IR
Technology must take the following five courses: EEGR 6316, EEOP 6317, EEOP
6309, EEOP 6315, and EEOP 6335.
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. A grade point average
in graduate course work of 3.5 or better on a 4-point scale
•
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. At least half of the supervising committee must comprise of core EE
faculty members and it must be chaired or co-chaired by an EE faculty member.
•
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: Biomedical Applications of Electrical Engineering;
Circuits and Systems; Communications; Control Systems; Digital Systems; Optical
Devices, Materials and Systems; RF and Microwave Engineering, Signal
Processing; 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, robotics, 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.