Electrical and Computer Engineering

Professor Joseph Camp, Chair ad interim

Professors: Jerome K. Butler, Joseph D. Camp, Jung-Chih Chiao, Scott C. Douglas, Jennifer Dworak, Gary A. Evans, Ping Gui, Duncan L. MacFarlane, Suku Nair, Behrouz Peikari, Dinesh Rajan, Ron Rohrer, Mitch Thornton, Jianhui Wang
Associate Professors: Carlos E. Davila, Mohammad Khodayar, Choon S. Lee
Assistant Professors: Kevin Brenner, Prasanna Rangarajan
Research Professor: Kenneth Berry
Senior Lecturer: M. Scott Kingsley
Adjunct Faculty: Radi M. Alzoubi, Veepsa Bhatia, Hakki C. Cankaya, Shaibal Chakrabarty, Sudipto Chakraborty, Mohamed Ezzat, John Fattaruso, Mark Hoffman, Clark D. Kinnaird, Bhalaji Kumar, Steven Lerner, Theodore Manikas, Theodore Moise, Jason Moore, James Olivier, John Rhymer, Steven G. Pelosi, Kamakshi Sridhar, Nagarajan Sridhar, Kexu Sun, Matthew Tonnemacher, John Widhalm, Philip Wrage

General Information

The discipline of electrical and computer engineering is at the core of today’s technology-driven society. Personal computers, computer-communications networks, integrated circuits, optical technologies, digital signal processors and wireless communications systems have revolutionized the way people live and work, and extraordinary advances in these fields are announced every day. Degrees in electrical and computer engineering offer exceptional opportunities for financial security, personal satisfaction and an expansion of the frontiers of technology. The Department of Electrical and Computer Engineering at SMU offers a full complement of courses at the bachelor’s degree level in communications, networks, digital signal processing, optoelectronics, electromagnetics, microelectronics, computer architecture, digital systems, and hardware security.

The mission of the department is as follows:

Through quality instruction and scholarly research, to engage each student in a challenging electrical and computer engineering education that prepares graduates for the full range of career opportunities in the high-technology marketplace and enables them to reach their fullest potential as a professional and as a member of society.

Departmental goals include the following:

• Becoming one of the nation’s leading electrical and computer engineering departments by building peaks of research excellence and by being a leader in innovative educational programs.
• Offering undergraduate curricula that equips graduates for careers that require ingenuity, integrity, logical thinking, and the ability to work and communicate in teams, and for the pursuit of graduate degrees in engineering or other fields such as business, medicine and law.
• Offering world-class Ph.D. programs that prepare graduates for academic careers, for research careers in the high-technology industry or for technical entrepreneurship.
• Promoting lifelong learning animated by a passion for the never-ending advance of technology.

Department Facilities

The department has access to the Lyle School of Engineering academic computing resources, consisting of shared-use computer servers and desktop client systems connected to a network backbone. In addition to servers and shared computational resources, the Lyle School of Engineering maintains a number of individual computing laboratories associated with the departments. Specific department laboratory facilities for instruction and research include the following:

Antenna Laboratory. This laboratory consists of two facilities for fabrication and testing. Most of the antennas fabricated at the SMU antenna lab are microstrip antennas. Antennas are made with milling machines. Fabricated antennas are characterized with a network analyzer. Workstations are available for antenna design and simulation with COMSOL and HFSS. Radiation characteristics are measured at the SMU Antenna Characterization Chamber in the SMU East campus, where the frequency ranges from 500 MHz to 40 GHz.

Biomedical Engineering Laboratory. This laboratory contains instrumentation for carrying out research in electrophysiology and psychophysics. Four Grass physiographs permit the measurement of electroencephalograms as well as visual and auditory evoked brain potentials. The lab also contains a state-of-the-art dual Purkinje eye tracker and image stabilizer, a Vision Research Graphics 21-inch Digital Multisync Monitor for displaying visual stimuli, and a Cambridge Research Systems visual stimulus generator capable of generating a variety of stimuli for use in psychophysical and electro-physiological experiments.

Circuit Fabrication Laboratory. This lab is fully equipped with modern fabrication tools to design and fabricate multi-layer circuit boards of various sizes, complexity, and design rules, ideally suited for RF and microwave applications. An automated circuit board plotter produces PCB prototypes from CAD files, for both rigid and flexible substrates. An integrated through-hole electroplating system yields reliable copper layers on the surfaces of all existing vias, including multilayer boards. The boards are passed through six cascaded baths that are integrated in a safe enclosed benchtop system. Multi-layer boards are fabricated using a benchtop multi-layer hydraulic press to aid in bonding the layers together. The lab also includes an automated de-solder/solder tool for surface mount components, and supporting instruments such as oscilloscopes, multi-meters, and microscopes. 

Energy Transport Lab: This laboratory investigates the transport, conversion, and control of electrical and thermal energy. It is focused on both the fundamental limits of electron and phonon transport, and in new materials or devices that can better control this energy. The experimental capabilities of this laboratory include a state-of-the-art Raman spectrometer with a cryogenic stage that has electrical access, a full cryogenic probe station, and chemical vapor deposition furnaces for growing novel materials. The theoretical capabilities include molecular dynamics simulations run on SMU’s high-performance computing cluster. This laboratory is currently focused on a variety of major challenges facing transport-based and quantum-based devices, such as heat dissipation and scaling limitations.

Integrated Circuits Design, Simulation and Measurement Laboratory. This facility has state-of-the-art design tools and equipment to conduct design, simulations, and measurements of integrated circuits and systems. The tools, facility and equipment include electronic design automation (EDA) tools such as Cadence, ADS, Synopsys, HFSS, Mentor Graphics, and Xilinx software; IC measurement equipment including a high-speed sampling oscilloscope, spectrum analyzer, RF signal sources and a network analyzer, etc. The SMU high-performance computer cluster is used for mixed-signal simulations.

Multimedia Systems Laboratory. This facility includes an acoustic chamber with adjoining recording studio to allow high- quality sound recordings to be made. The chamber is sound isolating with double- or triple-wall Sheetrock on all four sides, as well as an isolating ceiling barrier above the drop ceiling. The walls of the chamber have been constructed to be nonparallel to avoid flutter echo and dominant frequency modes. Acoustic paneling on the walls of the chamber are removable and allow the acoustic reverberation time to be adjusted to simulate different room acoustics. The control room next to the acoustic chamber includes a large, 4-foot-by-8-foot acoustic window and an inert acoustic door facing the acoustic chamber. Up to 16 channels of audio can be carried in or out of the chamber to the control room. Experiments conducted in the Multimedia Systems Laboratory include blind source separation, deconvolution and dereverberation. Several of the undergraduate courses in electrical engineering use sound and music to motivate system-level design and signal processing applications. The Multimedia Systems Laboratory can be used in these activities to develop data sets for use in classroom experiments and laboratory projects for students to complete.

NeuroMechatronics Lab. This laboratory is a fully equipped biomechatronics facility, which supports the activities of faculty, graduate students, and undergraduate students in theoretical and experimental tasks related to research in human-robot interfaces. The lab has the equipment to analyze, interpret, and decode the biomechanics and biological signals of human across a wide range of activities. In addition, this laboratory has the equipment to rapid prototype and test data-driven control systems in robotic and wearable devices designed to improve the quality of life in impaired individuals. The main equipment in the lab consists of a 16-camera motion capture system, wireless electromyography and electroencephalography sensors, and a lower-limb robotic exoskeleton.

Photonic Architectures Laboratory. This laboratory is a fully equipped optomechanical prototyping facility, supporting the activities of faculty and graduate students in experimental and analytical tasks. The lab is ideally suited for the prototyping, integration and testing of optical devices and systems. It includes infrastructure for imaging at microscopic and macroscopic scales. The lab has five optical tables three of which include vibration isolation. It also contains an assortment of light sources, both coherent and incoherent sources, at visible and infrared wavelengths. Devices for patterning light including Spatial Light Modulators, deformable mirror and pattern projectors. The lab also includes an assortment of detectors ranging from single pixel area detectors to focal plane arrays (FPA) at visible and infrared wavelengths. The lab additionally contains lock-in FPA’s and Time-of-Flight (ToF) sensors featuring support for per-pixel homodyne detection. The lab also hosts a variety of measurement equipment including a wavefront sensor and a surface profilometer. A vast array of manual and motorized optomechanical components are also available. Support electronics hardware includes various test instrumentation, such as arbitrary waveform generators, and a variety of CAD tools for optical and electronic design, including optical ray trace and finite difference time domain software.

Photonic Characterization Laboratory. This laboratory is dedicated to characterizing the optical and electrical properties of photonic devices. Equipment in this laboratory program includes optical spectrum analyzers, optical multimeters, visible and infrared cameras, an automated laser characterization system for edge-emitting lasers, a manual probe test system for surface-emitting lasers, a manual probe test system for edge-emitting laser die and bars, and near- and far-field measurement systems. 

Photonics Devices and Systems Laboratory. The PDSL houses a wealth of resources for developing and applying photonic components, devices and systems, including optics, mounting hardware, optical tables, design software, electronic instrumentation and fabrication equipment. Examples of ongoing research areas include communications and instrumentation, particularly for biomedical applications.

Photonics Simulation Laboratory. This laboratory has developed and continuously updates software for modeling and designing semiconductor lasers, optical waveguides, optical fibers, couplers, switches and optical waveguide isolators. These programs include:

• WAVEGUIDE: Calculates near-field, far-field and effective indices of dielectric waveguides and semiconductor lasers. Each layer can contain gain or loss.
• GAIN: Calculates the gain as a function of energy, carrier density and current density for strained and unstrained quantum wells for a variety of material systems.
• GRATING: Uses the Floquet Bloch approach and the boundary element method to calculate reflection, transmission and outcoupling of dielectric waveguides and laser structures with periodic layers or interfaces.
• FIBER: Calculates the fields, effective index, group velocity and dispersion for fibers with circularly symmetric index of refraction profiles.
• WAVEGUIDEISOLATOR: Calculates the bi-directional propagation constants in optical waveguides with ferromagnetic layers for the design, fabrication and analysis of integrated waveguide isolators.

PhysioTronics Lab. This laboratory is equipped with radio frequency equipment and biomedical signal recording facility, supporting the activities and research in wearables, implantable devices, and human-computer interfaces. The lab has the equipment to measure, detect, analyze and classify physiological, bioelectrical and biochemical signals of human and artificial phantoms. The laboratory has three sections including wet, dry and computer labs. Chemical hood, wet etching, and chemical processing equipment are available in the wet lab for rapid prototyping and biochemical tests. Dry lab contains microwave and millimeterwave network analyzer, signal function generators, and equipment for electronics assembly. Computer lab has multiple workstations for simulation and data analysis. The PhysioTronics Lab focuses on developing novel robotic, wearable, and implantable devices and system designed to improve wellbeing and life quality of patients and to address grand challenges in global healthcare.

Semiconductor Processing Cleanroom. The 2,800 square-foot cleanroom, consisting of a 2,400 square-foot, Class 10,000 room and a Class 1,000 lithography area of 400 square feet, is located in the Jerry R. Junkins Engineering Building. A partial list of equipment in this laboratory includes acid and solvent hoods, photoresist spinners, two contact mask aligners, a thermal evaporator, a plasma asher, a plasma etcher, a turbo-pumped methane hydrogen reactive ion etcher, a four-target sputtering system, a plasma-enhanced chemical vapor deposition reactor, a diffusion-pumped four pocket e-beam evaporator, an ellipsometer and profilometers. Other equipment includes a boron-trichloride reactive ion etcher, a chemical-assisted ion-beam etcher, a four-tube diffusion furnace, numerous optical microscopes and a scanning electron microscope. The cleanroom is capable of processing silicon, compound (III-V) semiconductors and piezo-electric materials for microelectronic, photonic and nanotechnology devices. 

Smart Energy Lab. This laboratory is focused on the current and future challenges in power and energy system operation and planning. Such challenges include large-scale optimization of power systems with uncertainty, resilience, recovery, and restoration of power networks exposed to severe weather conditions, protecting power networks against cyber and physical attacks, interdependence among power, natural gas, hydrogen, and water infrastructure systems, transportation electrification, and the application of machine learning and quantum computing to solve the future economic, environmental, and equity challenges in the energy infrastructure systems.

Submicron Grating Laboratory. This laboratory is dedicated to holographic grating fabrication and has the capability of 70 nm lines and spaces. Equipment in this laboratory includes a floating air table, a 266 nm UV laser, and an Atomic Force Microscope. This laboratory is used to make photonic devices with periodic features such as distributed feedback, distributed Bragg reflector, and grating-outcoupled and photonic crystal semiconductor lasers along with grating couplers and silicon photonic devices. A millimeter wave (100 GHz range) system allows experimental confirmation of grating theories by using gratings machined in aluminum nitride waveguides. 

Wireless Systems and Vehicular Networks Lab. This laboratory contains an array of infrastructure for experimentation across a number of wireless frequency bands, platforms and environments for research and instruction in lab-based courses on wireless communications and networking. The infrastructure includes 1) state-of-the-art test equipment for repeatability, control and observability of wireless channels, including complex channel emulators, fixed and mobile spectrum analyzers, wide-band oscilloscopes, and signal generators; 2) a wide range of reprogrammable wireless testbeds that operate from 400 MHz to 6 GHz for IEEE 802.11, cellular, and Bluetooth network and protocol development; and 3) a fleet of unmanned aerial vehicles (UAVs) of diverse sizes for carrying programmable wireless hardware and various sensing modalities, including Light Detection and Ranging (LiDAR) units.

Graduate Programs

The discipline of electrical and computer engineering is at the core of today’s technology-driven society. Personal computers, computer-communications networks, integrated circuits, optical technologies, digital signal processors and wireless communications systems have revolutionized the way people live and work, and extraordinary advances in these fields are announced every day. In today’s truly technological society, graduate education in electrical and computer engineering offers exceptional opportunities for financial security and personal satisfaction.

The Department of Electrical and Computer Engineering at SMU offers a full complement of courses at the master’s and Ph.D. level in biomedical devices, computer architecture, CAD, wireless communication networks, digital signal processing, lasers and optoelectronics, photonics, electromagnetics, microelectronics, VLSI design, systems and control, and image processing and computer vision. The courses and curriculum are designed and continuously updated to prepare the student for engineering research, design and development at the forefront of these fields.

A professionally oriented master’s degree in telecommunications systems is also offered through the Electrical and Computer Engineering Department, and courses in the curriculum (designated EETS) prepare the student for leadership roles in telecommunications systems management and planning and for developing new telecommunications products, services and applications.

For current SMU students in the Bachelor of Science in Electrical Engineering (EE), Computer Engineering (CpE) or a Computer Science (CS) major with a grade point of 3.0 or higher qualify for admission to the ECE Accelerated Pathways program. Students with a grade point below 3.0 that are interested in the ECE Accelerated Pathways program are encouraged to petition the admissions committee and attach one or more supporting letters from SMU faculty.

Direct Admission into the Ph.D. Program

The Electrical and Computer Engineering Department offers direct admission to the Ph.D. program for highly qualified students having a bachelor’s degree in electrical engineering, computer engineering, or a related degree. The combined minimum number of course and dissertation credits for the Ph.D. degree is 78 credits beyond the bachelor’s degree. A student admitted into this “fast-track” program must successfully complete a minimum of 36 credit hours of coursework and a minimum of 24 credit hours of dissertation with the total coursework and dissertation hours reaching a minimum of 78 credit hours. The expected program of study for most students in this track student would take 36 credits of course work plus 42 credits of dissertation.

Admission Requirements

This direct admission to PhD program is open to exceptional students who, upon completion of their undergraduate degree, wish to pursue a Ph.D. degree in either Electrical Engineering or Computer Engineering. To be considered for admission to this program, applicants must typically meet the following requirements:

1. An undergraduate degree in electrical engineering, computer engineering, or related degree.
2. An undergraduate GPA of 3.5 or higher.
3. A GRE quantitative score of 85% or higher.
4. Strong letters of recommendation supporting the student’s direct admission to the Ph.D. program.
5. A statement from the applicant describing his/her motivation for pursuing the Ph.D. degree.

A direct admission student who earns a cumulative GPA of less than 3.5 or fails to pass the Research-based Qualifying Exam within the first year after admission will be suspended from the Ph.D. program and switched to the Master of Science program.

Graduate Degrees. The Electrical and Computer Engineering Department offers the following graduate degrees:

Programs

• Computer Engineering, Ph.D.
• Electrical Engineering, Ph.D.

• Computer Engineering, M.S.Cp.E.
• Electrical Engineering, M.S.E.E.
• Network Engineering, M.S.

• Cloud Engineering Certificate
• Development Operations Certificate
• Integrated Circuit Design Certificate
• Power Engineering Certificate
• VLSI Design and Reliability Certificate

• Computer Engineering/Business Administration, M.S.Cp. E./M.B.A.
• Electrical Engineering/Business Administration, M.S./M.B.A.
• Network Engineering/Business Administration, M.S./M.B.A.

Courses

For ECE courses, the third digit in the course number designator indicates the subject area represented by the course. The courses for the master’s degree in telecommunications are indicated by the prefix EETS. The EETS course descriptions are listed following the ECE courses. The following designators are used for ECE courses:

XX1X Electronic Materials
XX2X Electronic Devices
XX3X Quantum Electronics and Electromagnetic Theory
XX4X Biomedical Science
XX5X Network Theory and Circuits
XX6X Systems
XX7X Information Science and Communication Theory
XX8X Computers and Digital Systems
XX9X Individual Instruction, Research, Seminar and Special Project

• ECE 7049 - Masters Full-Time Status
• ECE 7090 - Graduate Seminar
• ECE 7096 - Master’s Thesis
• ECE 7190 - Special Topics
• ECE 7196 - Master’s Thesis
• ECE 7290 - Special Topics
• ECE 7296 - Master’s Thesis
• ECE 7301 - Power Management for Industrial and Mission-Critical Facilities
• ECE 7310 - Introduction to Semiconductors
• ECE 7312 - Compound Semiconductor Devices and Processing
• ECE 7313 - Solar Cells and Applications
• ECE 7314 - Introduction to Microelectromechanical Systems
• ECE 7318 - Introduction to MEMS
• ECE 7321 - Semiconductor Devices and Circuits
• ECE 7322 - Semiconductor Devices and Fabrication
• ECE 7330 - Electromagnets: Guided Waves
• ECE 7332 - Electromagnetics: Radiation and Antennas
• ECE 7333 - Antennas and Radio Wave Propagation for Personal Communications
• ECE 7335 - Quantum Electronics
• ECE 7336 - Introduction to Integrated Photonics
• ECE 7339 - Computer System Security
• ECE 7340 - Medical Systems Designs
• ECE 7341 - Computational Neuroscience
• ECE 7342 - Principles of Medical Imaging
• ECE 7345 - Topics in Applied Signal Analysis
• ECE 7346 - Cloud Computing
• ECE 7349 - Data and Network Security
• ECE 7351 - Power System Operation and Electricity Markets
• ECE 7352 - Power Systems Analysis
• ECE 7353 - Power System Planning
• ECE 7354 - Biomechatronics
• ECE 7356 - VLSI Design and Lab
• ECE 7357 - CAE Tools for Structured Digital Design
• ECE 7359 - Software Security
• ECE 7360 - Analog and Digital Control Systems
• ECE 7362 - Systems Analysis
• ECE 7365 - Adaptive Algorithms for Machine Learning
• ECE 7368 - Computational Circuit Theory
• ECE 7369 - Trojan Detection and Hardware Security
• ECE 7370 - Communication and Information Systems
• ECE 7371 - Analog and Digital Filter Design
• ECE 7373 - DSP Programming Laboratory
• ECE 7374 - Digital Image Processing
• ECE 7375 - Random Processes in Engineering
• ECE 7376 - Introduction to Computer Networks
• ECE 7377 - Embedded Wireless Design Lab
• ECE 7378 - Mobile Phone Embedded Design
• ECE 7379 - Optimization in Wireless Networks
• ECE 7381 - Computer Architecture
• ECE 7382 - Fundamentals of Computer Vision
• ECE 7383 - Introduction to Quantum Informatics
• ECE 7385 - Microcontroller Architecture and Interfacing
• ECE 7387 - Digital Systems Design
• ECE 7390 - Special Topics
• ECE 7391 - Special Topics
• ECE 7392 - Special Topics
• ECE 7393 - Special Topics
• ECE 7395 - Special Topics
• ECE 7396 - Master’s Thesis
• ECE 7490 - Special Topics
• ECE 7696 - Master’s Thesis
• ECE 8049 - Ph.D. Full-Time Status
• ECE 8095 - Independent Study
• ECE 8096 - Dissertation
• ECE 8190 - Special Topics
• ECE 8191 - Special Topics
• ECE 8192 - Special Topics
• ECE 8193 - Special Topics
• ECE 8194 - Special Topics
• ECE 8195 - Special Topics
• ECE 8196 - Dissertation
• ECE 8290 - Special Topics
• ECE 8291 - Special Topics
• ECE 8292 - Special Topics
• ECE 8293 - Special Topics
• ECE 8294 - Special Topics
• ECE 8295 - Special Topics
• ECE 8296 - Dissertation
• ECE 8310 - Electronic Processes
• ECE 8322 - Semiconductor Optical Systems
• ECE 8323 - Lasers and Photonics
• ECE 8325 - Infrared Systems Engineering
• ECE 8331 - Microwave Electronics
• ECE 8332 - Numerical Techniques in Electromagnetics
• ECE 8333 - Advanced Electromagnetic Theory
• ECE 8351 - Computer Arithmetic
• ECE 8355 - Transistor Integrated Circuits
• ECE 8356 - Advanced VLSI Design and Lab
• ECE 8361 - Optimal Control
• ECE 8364 - Statistical Pattern Recognition
• ECE 8365 - Adaptive Filters
• ECE 8367 - Nonlinear Control
• ECE 8368 - Signal Processing for Wireless Communications
• ECE 8370 - Analog and Digital Communications
• ECE 8371 - Information Theory
• ECE 8372 - Cryptography and Data Security
• ECE 8373 - Digital Speech Processing
• ECE 8375 - Error Control Coding
• ECE 8376 - Detection and Estimation Theory
• ECE 8377 - Advanced Digital Communications
• ECE 8378 - Performance Modeling and Evaluation of Computer Networks