Erik Jonsson School of Engineering & Computer Science

Department of Electrical Engineering

Department Faculty

Professors: Naofal Al-Dhahir, Poras T. Balsara, Dinesh Bhatia, Andrew J. Blanchard, David E. Daniel, Babak Fahimi, John P. Fonseka, William R. Frensley, Andrea Fumagalli, John H. L. Hansen, C. Robert Helms, Nasser Kehtarnavaz, Kamran Kiasaleh, Gil S. Lee, Jeong-Bong Lee, Jin Liu, Duncan L. MacFarlane, Won Namgoong, Aria Nosratinia, Mehrdad Nourani, Kenneth K. O, Raimund J. Ober, Lawrence J. Overzet, Kaushik Rajashekara, Mohammad Saquib, Carl Sechen, Mark W. Spong, Lakshman Tamil, Dian Zhou

Professors Emeritus: Louis R. Hunt, William J. Pervin, Don W. Shaw

Research Professors: Walter Duncan, Hisashi (Sam) Shichijo

Associate Professors: Gerald O. Burnham, Yun Chiu, Wenchuang (Sam) Hu, Roozbeh Jafari, Hoi Lee, Dongsheng Brian Ma, Yiorgos Makris, Hlaing Minn, Issa M. S. Panahi, Siavash Pourkamali, Robert L. Rennaker II, Murat Torlak

Assistant Professors: Bilal Akin, Bhaskar Banerjee, Carlos A. Busso-Recabarren, Nicholas Gans, Rashaunda Henderson, Chadwin D. Young

Research Assistant Professors: Abhijeet Sangwan, Hynek Boril

Senior Lecturers: Charles (Sam) Bernardin, Peter A. Blakey, Nathan B. Dodge, Jung Lee, Randall E. Lehmann, P. K. Rajasekaran, Ricardo E. Saad, Marco Tacca

Affiliated Faculty: Larry P. Ammann, Leonidas Bleris, Yves J. Chabal, Matthew J. Goeckner, Bruce E. Gnade, Jiyoung Kim, Moon J. Kim, David J. Lary, Yang Liu, Mario A. Rotea, Mathukumalli Vidyasagar Robert M. Wallace, Steve Yurkovich

Objectives

The program leading to the MSEE 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; power electronics and energy 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 generatiohn 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 (UT Dallas) 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 UT Dallas. 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 UT Dallas on speech and language research. CRSS supports an extensive network of workstations, as well as a High-Performance Compute Cluster with over 30TB of disk space and 420 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 UT Dallasrive 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 Stubli 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 UT Dallas graduate engineering students.

Master of Science in Electrical Engineering

33 hours minimum

Admission Requirements

The University's general admission requirements are discussed on the Graduate Admission page (catalog.utdallas.edu/2013/graduate/admission).

A student lacking undergraduate prerequisites for graduate courses in electrical engineering must complete these prerequisites or receive approval from the graduate advisor and the course instructor.

A diagnostic exam may be required. Specific admission requirements follow.

The student entering the MSEE 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 coursework of 3.0 or better on a 4-point scale, and
• GRE revised scores of 154, 156, 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 coursework may be necessary before starting the master's program.

Degree Requirements

The University's general degree requirements are discussed on the Graduate Policies and Procedures page (catalog.utdallas.edu/2013/graduate/policies/policy).

The MSEE 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; Power Electronics and Energy 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 MSEE degree.

The MSEE program has both a thesis and a non-thesis option. All part-time MSEE 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 advisor prior to enrolling for thesis credit. Research and thesis hours cannot be counted in an MSEE degree plan unless a thesis is written and successfully defended.

Concentrations

One of the nine concentrations listed below, subject to approval by a graduate advisor, must be used to fulfill the requirements of the MSEE 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. One 5000 level electrical engineering course can be counted towards the graduate semester credit hours.

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 15 hours:

EEBM 6376 Lecture Course in Biomedical Applications of Electrical Engineering

EEBM 6373 Anatomy and Human Physiology

EEBM 6374 Genes, Proteins and Cell Biology

and two core courses from any one other concentration.

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 (15 hours).

Two of the courses are:

EECT 6325 VLSI Design

EECT 6326 Analog Integrated Circuit Design

The remaining three courses must be selected from:

EEDG 6301 Advanced Digital Logic

EEDG 6303 Testing and Testable Design

EEDG 6306 Application Specific Integrated Circuit Design

EEDG 6375 Design Automation of VLSI Systems

EECT 6378 Power Management Circuits

EECT 7325 Advanced VLSI Design

EECT 7326 Advanced Analog Integrated Circuit Design

EECT 7327 Data Converters

EERF 6330 RF Integrated Circuit Design

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 four required courses (12 hours).

Two of the courses are:

EESC 6349 Random Processes

EESC 6352 Digital Communication Systems

The remaining two must be selected from:

EESC 5305 Radio Frequency Engineering

EEOP 6310 Optical Communication Systems

EESC 6340 Introduction to Telecommunications Networks

EESC 6341 Information Theory

EESC 6343 Detection and Estimation Theory

EESC 6344 Coding Theory

EESC 6353 Broadband Digital Communication

EESC 6360 Digital Signal Processing I

EESC 6390.Introduction to Wireless Communication Systems

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 (12 hours).

Two of the courses are:

ENGR 6331 Linear Systems

EESC 6349 Random Processes

The remaining two must be selected from:

ENGR 6336 Nonlinear Control Systems

EESC 6364 Pattern Recognition

EEGR 6381 Computational Methods in Engineering

EESC 6343 Detection and Estimation Theory

EESC 6360 Digital Signal Processing I

EESC 7V85 Special Topics in Signal Processing

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, coursework focuses on three areas: hardware design, software design, analysis and modeling.

Each student electing this concentration must take four required courses (12 hours):

Two of the courses are:

EEDG 6301 Advanced Digital Logic

EEDG 6304 Computer Architecture

The remaining two must be selected from:

EEDG 6302 Microprocessor Systems

EECT 6325 VLSI Design

EEDG 6345 Engineering of Packet-Switched Networks

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 four required courses (12 hours).

Three of the courses are:

EEOP 6314 Principles of Fiber and Integrated Optics

EEGR 6316 Fields and Waves

EEOP 6317 Physical Optics

and at least one of the following two courses

EEOP 6310 Optical Communication Systems

EEOP 6329 Optical Signal Conditioning

Approved electives must be taken to make a total of 33 hours.

Power Electronics and Energy Systems

The goal of the curriculum is to prepare students to address growing needs in contemporary power electronics and energy related areas. The coursework focuses on fundamentals of power electronics, design and control of motor drives, and energy systems.

Each student electing this concentration must take five required courses (15 hours):

Three of the courses are:

EEPE 6354 Power Electronics

EEPE 6356 Adjusted Speed Motor Drives

EEPE 6357 Control, Modeling & Simulation in Power Electronics

The remaining two must be selected from:

EEPE 6358 Electrification of Transportation

EEPE 6359 Renewable Energy Systems

EEPE 7354 Advanced Power Converters

EEPE 7356 Computer Aided Design of Electric Machines

EEPE 7V91 Special Topics in Power Electronics

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 (12 hours):

Four of the courses are:

EERF 6311 RF and Microwave Circuits

EEGR 6316 Fields and Waves

EERF 6355 RF and Microwave Amplifier Design

EERF 6395 RF and Microwave Systems Engineering

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 four required courses (12 hours).

Two of the courses are:

EESC 6349 Random Processes

EESC 6360 Digital Signal Processing I

The remaining two must be selected from:

EESC 6343 Detection and Estimation Theory

EESC 6350 Signal Theory

EESC 6361 Digital Signal Processing II

EESC 6362 Introduction to Speech Processing

EESC 6363 Digital Image Processing

EESC 6364 Pattern Recognition

EESC 6365 Adaptive Signal Processing

EESC 6366 Speech and Speaker Recognition

EESC 6367 Applied Digital Signal Processing

EESC 7V85 Special Topics in Signal Processing

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 four required courses (12 hours).

Two of the courses are:

EEGR 6316 Fields and Waves

EEMF 6319 Quantum Physical Electronics

and at least two of the following four courses:

EEMF 6320 Fundamentals of Semiconductor Devices

EEMF 6321 Active Semiconductor Devices

EEMF 6322 Semiconductor Processing Technology

EEMF 6382 Introduction to MEMS

Additional standard electives include but are not limited to:

EEMF 5383 Plasma Technology and EEMF 5283 Plasma Technology Laboratory

EEMF 6324 Electronic, Optical and Magnetic Materials

EECT 6325 VLSI Design

EEMF 6372 Semiconductor Process Integration

EEMF 6383 Plasma Science and EEMF 6283 Plasma Science Laboratory

EEMF 6382 Introduction to MEMS

EEMF 7320 Advanced Semiconductor Device Theory

EECT 7325 Advanced VLSI Design

Approved electives must be taken to make a total of 33 hours.

Doctor of Philosophy in Electrical Engineering

75 hours minimum beyond the baccalaureate degree

Admission Requirements

The University's general admission requirements are discussed on the Graduate Admission page (catalog.utdallas.edu/2013/graduate/admission).

The PhD 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 PhD 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 coursework of 3.5 or better on a 4-point scale
• GRE revised scores of 154, 156, 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 UT Dallas 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 PhD 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 PhD students. All students must have an academic advisor and an approved plan of study.

Degree Requirements

The University's general degree requirements are discussed on the Graduate Policies and Procedures page (catalog.utdallas.edu/2013/graduate/policies/policy).

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 75 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 PhD 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 PhD candidacy is based on two criteria: Graded performance in the QE and GPA in graduate level organized courses. A student entering the PhD program with a MSEE must pass this exam within 3 long semesters, and a student entering without an MSEE 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 PhD 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 PhD. 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.

Research

The principal concentration areas for the MSEE program are: Biomedical Applications of Electrical Engineering; Circuits and Systems; Communications; Control Systems; Digital Systems; Optical Devices, Materials and Systems; Power Electronics and Energy 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, motors and drives, 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 UT 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.

Graduate Certificate in Infrared Technology

15 hours

Admission Requirements

Students seeking the Graduate Certificate in IR technology may be admitted in either degree-seeking or non-degree-seeking status. The University's requirements for admission as a non-degree-seeking graduate student are discussed on the Graduate Admission page (catalog.utdallas.edu/2013/graduate/admission). Up to 15 semester credit hours earned in non-degree-seeking status may be transferred for degree credit when a student is admitted to degree-seeking status. Students seeking the Infrared Technology Certificate should have an undergraduate preparation equivalent to a Bachelor of Science in Electrical Engineering or Physics. Students who lack the undergraduate prerequisites for the courses required for the Infrared Technology Certificate must complete these prerequisites or receive approval from the graduate advisor and the course instructor.

Each student electing the Graduate Certificate in IR Technology must take the following five courses:

EEGR 6316 Fields and Waves

EEOP 6317 Physical Optics

EEOP 6309 Fourier Optics

EEOP 6315 Engineering Optics

EEOP 6335 Engineering of Infrared Imaging Systems

At the time of completion of the course requirements for the Infrared Technology Certificate, each student must have a grade point average of at least 3.00 and must meet all other requirements for good academic standing.