Computer Engineering

The mission of the computer engineering program, consistent with the Missouri S&T campus mission statements, is the education of students to fully prepare them to provide leadership in the recognition and solution of society’s problems in the area of computer engineering.

The computer engineering program in the department of electrical and computer engineering offers graduate programs of study which lead to the M.S. degree (thesis and non-thesis options) and the Ph.D. degree. Both the Rolla campus and Missouri S&T Global -  St. Louis offer M.S. programs. A great variety of multidisciplinary programs and research areas are available. Most graduate programs in computer engineering normally include some specialization in one or more of the following:

Emphasis Areas

  • Integrated circuits and logic design: Topics include hardware/software co-design, IC design, electromagnetic compatibility, VLSI design, and secure embedded systems design.
  • Networking, security and dependability: Topics include network analysis and synthesis, cyber-physical systems, wireless networks, sensor networks, dependability, and fault tolerance.
  • Computer architecture and embedded systems: Topics include high performance systems, parallel processors, GPU computing, and heterogeneous systems architecture.
  • Computational intelligence: Topics include clustering, adaptive resonance and reinforcement learning architectures, learning and adaptation, hardware and applications, neurofuzzy regression, traveling salesman problem heuristics, robotic swarms, bioinformatics, medical informatics, machine vision, and automation.

Departmental Requirements

The nominal GPA requirement for admission to the M.S. degree program in this department is an undergraduate GPA of 3.3 on a 4.0 GPA system. In evaluating the academic performance from universities that may use other grading systems, the department may rely upon statistical data gathered in analyzing academic outcomes for recent graduate students to the extent that such statistical data is available. The department will not offer graduate admissions to students who do not have the equivalent of a four year baccalaureate degree in engineering. As an example, we cannot accept students who have only a diploma or engineering technology degree.

The ECE department requires ETS reported GRE scores and recommends the following:

ETS scoring:  Q+V=310, Q 160, V=150, A/WR 4.0

This GRE requirement may be waived if the applicant has an undergraduate GPA of 3.5 obtained from the courses offered by the electrical engineering or computer engineering program at Missouri S&T (must be minimum 18 credit hours).

For international students who are required to provide TOEFL scores, the ECE department has no preference as to the computer based TOEFL (CBT), internet based TOEFL (iBT), or paper based TOEFL (PBT). Minimum recommended scores set by the department are 237 CBT, 92 iBT, and 580 PBT. Where TOEFL is not available, IELTS score of 6.5 is recommended. 

Students applying for graduate studies in this department on the basis of degrees in closely related fields may have additional conditions placed on their admission. These conditions are generally imposed to make sure that students lacking a traditional Computer Engineering degree will have sufficient background to ensure a reasonable chance for academic success.

Students seeking admission to the Ph.D. program should meet or exceed all of the above recommendations and should have a graduate GPA of 3.5 or better. All Ph.D. applicants must provide at least three letters of recommendation. Exceptional applicants may apply directly to the Ph.D. program after completing the baccalaureate degree.

Program Requirements

Additional departmental requirements beyond those stated in the section on Admission and Program Procedures are as follows. Thesis option M.S. programs of study require a minimum of 21 credit hours of course work exclusive of credit hours earned for thesis research (courses numbered 5099). A limited number of credit hours for 3000 level courses may be counted towards the fulfillment of an M.S. program of study, provided that the courses are taken outside of the electrical and computer engineering department and that the courses are pre-requisites for at least one 5000 or 6000 level course also included in the program of study. The doctoral program of study, for the Ph.D. degree or the D.E. degree, should include 90 credit hours beyond the B.S. degree or 60 credit hours beyond the M.S. degree. An M.S. or doctoral student’s advisory committee may impose additional requirements or restrictions as it sees fit.

Ph.D. Language Requirement

As a computer engineering Ph.D. student, you are not required to satisfy a language requirement. However, you may have language requirements included in your plan of study if your advisory committee feels that this inclusion would be useful or necessary for your research.


Significant research, suitable for publication, is expected for students pursuing the thesis option M.S. or a doctoral degree. The student should work closely with their major advisor and their advisory committee to determine when these expectations are met. The length of research time and/or the number credit hours earned for thesis research will not automatically satisfy this requirement.

Additional Information

Additional information about departmental emphasis areas, requirements, graduate handbook, faculty, research opportunities, financial aid, and facilities can be found by visiting the department’s web page at We can be contacted by telephone at 573-341-4519 or email at For information about the Engineering Education Center in St. Louis, visit their web page at

Graduate Certificate Programs

(Also offered in the systems engineering or computer science disciplines)

There are three graduate certificate programs that utilize computer engineering graduate level courses to develop the skills of practicing engineers, including network centric systems, information assurance and security officer essentials, and computational intelligence. Details for these programs can be obtained from The four courses taken to fulfill the requirements of any of the graduate certificate programs can, under certain circumstances, be counted towards an M.S. degree. However, any prerequisite or remedial courses taken to provide background for one or more of the four graduate certificate program courses cannot be counted towards an M.S. degree.

In order for a required graduate certificate course in network centric systems to count for graduate credit the graduate certificate program must have been successfully completed, as described in the Admission and Program Procedures section, and the applicant must apply for and be accepted into the graduate program (computer engineering, computer science, or systems engineering) specified at the time the applicant was accepted into the specific graduate certificate program.

These programs are designed to appeal to working professionals.

COMP ENG 5000 Special Problems (IND 1.0-6.0)

Problems or readings on specific subjects or projects in the department. Consent of instructor required.

COMP ENG 5001 Special Topics (LEC 1.0-6.0)

This course is designed to give the department an opportunity to test a new course. Variable title.

COMP ENG 5040 Oral Examination (IND 0.0)

After completion of all other program requirements, oral examinations for on-campus M.S./Ph.D. students may be processed during intersession. Off-campus M.S. students must be enrolled in oral examination and must have paid an oral examination fee at the time of the defense/comprehensive examination (oral/ written). All other students must enroll for credit commensurate with uses made of facilities and/or faculties. In no case shall this be for less than three (3) semester hours for resident students.

COMP ENG 5070 Teaching Engineering (LEC 3.0)

Introduction to teaching objectives and techniques. Topics include: using course objectives to design a course; communication using traditional and cutting-edge media; textbook selection; assessment of student learning; grading; student learning styles; cooperative/active learning; and student discipline. Prerequisite: Graduate standing. (Co-listed with Eng Mgt 5070, Env Eng 5070, Elec Eng 5070, Civ Eng 5070).

COMP ENG 5099 Special Research And Thesis (IND 1.0-15)

Investigations of an advanced nature leading to the preparation of a thesis or dissertation. Prerequisite: Consent of the instructor required.

COMP ENG 5110 Principles of Computer Architecture (LEC 3.0)

Principles of performance measurement and instruction set design; advanced issues in pipelining; instruction level parallelism (dynamic scheduling, branch prediction, multi-issue processors); memory hierarchies for superscalar processors; multiprocessors; multi-threading; storage systems; and interconnection networks. Prerequisite: Comp Eng 3110.

COMP ENG 5120 Digital Computer Design (LEC 3.0)

Organization of modern digital computers; design of processors, memory systems and I/O units, hardware-software tradeoffs in different levels of computer system design. Prerequisites: COMP ENG 3150 and COMP ENG 3151.

COMP ENG 5130 Advanced Microcomputer System Design (LEC 3.0)

The design of digital systems based on advanced microprocessors. Introduction to microcomputer logic development systems. I/0 interfaces. Assembly and high level language tradeoffs. Hardware and software laboratory projects required. Prerequisites: COMP ENG 5110.

COMP ENG 5151 Digital Systems Design Laboratory (LAB 1.0 and LEC 2.0)

Experimental studies of problems with high speed digital signals in circuits. Student designs, wires, tests, and programs a microprocessor based single board computer project. A FPGA design is programmed and tested. Prerequisites: COMP ENG 3150 or 5110.

COMP ENG 5160 Embedded Processor System Design (LEC 3.0)

Development of hardware and software for embedded systems, including real-time operating systems, advanced programming, communication schemes, hardware peripherals and sensors, control methodologies, printed-circuit board design, interrupts, microcontrollers, and hardware-software co-design. One or more team design projects. Prerequisites: COMP ENG 3150 or equivalent or 80x51 processor experience.

COMP ENG 5170 Real-Time Systems (LEC 3.0)

Introduction to real-time (R-T) systems and R-T kernels, also known as R-T operating systems, with an emphasis on scheduling algorithms. The course also includes specification, analysis, design and validation techniques for R-T systems. Course includes a team project to design an appropriate R-T operating system. Prerequisites: COMP ENG 3150 or COMP SCI 3800. (Co-listed with Comp Sci 5205).

COMP ENG 5210 Introduction To VLSI Design (LEC 3.0)

An introduction to the design and analysis of digital integrated circuits (ICs). Topics include basic manufacturing techniques, transistor-level design and analysis of logic and memory circuits, logic timing, and parasitics. Computer aided design tools are used to develop circuits in the lab. Prerequisites: Elec Eng 2200 and Comp Eng 2210.

COMP ENG 5220 Digital System Modeling (LEC 3.0)

Digital system modeling for simulation, synthesis, and rapid system prototyping. Structural and behavioral models, concurrent and sequential language elements, resolved signals, generics, configuration, test benches, processes and case studies. Prerequisite: Comp Eng 2210 with a grade of "C" or better.

COMP ENG 5230 Optical Computing (LEC 3.0)

Introduction to the principles, subsystems, and architectures of optical computing. Topics include characteristics of optical devices; optical implementations of memory, logic elements, and processors; and computational structures. Prerequisite: Comp Eng 2210 or equivalent. (Co-listed with Elec Eng 5250).

COMP ENG 5310 Computational Intelligence (LEC 3.0)

Introduction to Computational Intelligence (CI), Biological and Artificial Neuron, Neural Networks, Evolutionary Computing, Swarm Intelligence, Artificial Immune Systems, Fuzzy Systems, and Hybrid Systems. CI application case studies covered include digital systems, control, power systems, forecasting, and time-series predictions. Prerequisite: Graduate Standing. (Co-listed with Elec Eng 5310 and Sys Eng 5211).

COMP ENG 5410 Introduction to Computer Communication Networks (LEC 3.0)

Design of computer networks with emphasis on network architecture, protocols and standards, performance considerations, and network technologies. Topics include: LAN, MAN, WAN, congestion/flow/error control, routing, addressing, broadcasting, multicasting, switching, and internetworking. A modeling tool is used for network design and simulation. Prerequisites: Comp Eng 3150 or computer hardware competency and Stat 3117 or Stat 3115 or Stat 5643 or equivalent.

COMP ENG 5420 Introduction to Network Security (LEC 3.0)

This course examines basic issues in network management, testing, and security; it also discusses key encryption, key management, authentication, intrusion detection, malicious attack, and insider threats. Security of electronic mail and electronic commerce systems is also presented. Prerequisite: Comp Eng 5410 or Comp Sci 5600.

COMP ENG 5430 Wireless Networks (LEC 2.0 and LAB 1.0)

Introduction to wireless communications and networking. Topics include transmission fundamentals, wireless channel, coding techniques and error control, satellite and cellular networks, cordless systems, mobile IP and management, multiple access techniques and wireless protocols, wireless LAN, IEEE 802.11, and adhoc and sensor networks. Prerequisites: Hardware competency, Elec Eng 3420 or Comp Eng 3150 and graduate standing. (Co-listed with Elec Eng 5430 and Sys Eng 5323.).

COMP ENG 5450 Digital Image Processing (LEC 3.0)

Fundamentals of human perception, sampling and quantization, image transforms, enhancement, restoration, channel and source coding. Prerequisites: Elec Eng 3410. (Co-listed with Elec Eng 5450).

COMP ENG 5460 Machine Vision (LEC 3.0)

Image information, image filtering, template matching, histogram transformations, edge detection, boundary detection, region growing and pattern recognition. Complementary laboratory exercises are required. Prerequisites: Elec Eng 3410. (Co-listed with Elec Eng 5460).

COMP ENG 5510 Fault-Tolerant Digital Systems (LEC 3.0)

Design and analysis of fault-tolerant digital systems. Fault models, hardware redundancy, information redundancy, evaluation techniques, system design procedures. Prerequisites: Comp Eng 2210 and Comp Eng 2211.

COMP ENG 5610 Real-Time Digital Signal Processing (LAB 1.0 and LEC 2.0)

Introduction to the use of programmable DSP chips. Includes real-time data acquisition, signal generation, interrupt-driven programs, high-level language, and assembly level routines. Applications to real-time systems are also presented. Prerequisite: Elec Eng 3400 or Elec Eng 3410.

COMP ENG 5620 Signal Integrity in High-Speed Digital & Mixed Signal Design (LEC 3.0)

Signal integrity ensures signals transmitted over a propagation path maintain sufficient fidelity for proper receiver operation. Compromised signal integrity is often associated with parasitics (e.g. unintentional inductance, capacitance). Theory and CAD tools used for signal integrity analysis of functioning designs. Prerequisites: Elec Eng 3600 or Comp Eng 3150, and Senior standing. (Co-listed with Elec Eng 5620).

COMP ENG 5803 Mathematical Logic I (LEC 3.0)

A mathematical introduction to logic with some applications. Functional and relational languages, satisfaction, soundness and completeness theorems, compactness theorems. Examples from Mathematics, Philosophy, Computer Science, and/or Computer Engineering. Prerequisite: Philos 3254 or Math 5105 or Comp Sci 2500 or Comp Eng 2210. (Co-listed with Comp Sci 5203, Philos 4354 and Math 5154).

COMP ENG 5820 Mechatronics (LAB 1.0 and LEC 2.0)

This course will introduce students to the basics of mechatronics (i.e., the integration of mechanical, electrical, computer, and control systems). Students will learn the fundamentals of sensors and actuators for mechanical systems, computer interfacing, microcontrollers, real-time software, and control. Prerequisite: Mech Eng 4479 or equivalent. (Co-listed with Mech Eng 5478, Aero Eng 5478 and Elec Eng 5870).

COMP ENG 5880 Introduction to Robotics (LEC 3.0)

This course provides an introduction to robotics, covering robot hardware, fundamental kinematics, trajectories, differential motion, robotic decision making, and an overview of current topics in robotics. Prerequisite: A grade of "C" or better in both Math 3108 and Comp Sci 1575. (Co-listed with Comp Sci 5403 and Elec Eng 5880).

COMP ENG 6000 Special Problems (IND 1.0-6.0)

Problems or readings on specific subjects or projects in the department. Prerequisite: Consent of the instructor.

COMP ENG 6001 Special Topics (LEC 0.0 and LAB 0.0)

This course is designed to give the department an opportunity to test a new course. Variable title. Prerequisite: Consent of the instructor.

COMP ENG 6040 Oral Examination (IND 0.0)

After completion of all other program requirements, oral examinations for on-campus M.S./Ph.D. students may be processed during intersession. Off-campus M.S. students must be enrolled in oral examination and must have paid an oral examination fee at the time of the defense/comprehensive examination (oral/ written). All other students must enroll for credit commensurate with uses made of facilities and/or faculties. In no case shall this be for less than three (3) semester hours for resident students.

COMP ENG 6050 Continuous Registration (IND 1.0)

Doctoral candidates who have completed all requirements for the degree except for the dissertation, and are away from the campus, must continue to enroll for at least one hour of credit each registration period until the degree is completed. Failure to do so may invalidate the candidacy. Billing will be automatic as will registration upon payment.

COMP ENG 6099 Special Research and Thesis (IND 1.0-15)

Investigations of an advanced nature leading to the preparation of a thesis or dissertation. Prerequisite: Consent of the instructor required.

COMP ENG 6110 Advanced Computer Architecture I (LEC 3.0)

Advanced topics in computer structures, parallel processors, and computer networks. Emphasis on their design, applications, and performance. Prerequisite: Comp Eng 5110 or Comp Eng 5120.

COMP ENG 6120 Advanced Computer Architecture II (LEC 3.0)

Continuation of Computer Engineering 6110. Prerequisites: COMP ENG 6110.

COMP ENG 6210 Digital Logic (LEC 3.0)

Digital logic analysis, synthesis and simulation. Design automation of digital systems. Prerequisites: Comp Eng 2210 and Comp Eng 2211.

COMP ENG 6220 Design Automation of VLSI Systems (LEC 3.0)

A state-of-the-art survey of advanced VLSI design techniques, including ultra-low-voltage designs, asynchronous computing, microfluidic chips, three-dimensional integration and other More-than-Moore technologies. Prerequisites: COMP ENG 5210.

COMP ENG 6230 Advanced VLSI Design (LEC 3.0)

Advanced topics in chip-level VLSI design, including issues related to high-performance, low-power, analog and mixed-signal circuits, reliability, noise and coupling mechanisms, computer aided design tools, and recent advances and trends in the field. Prerequisite: Comp Eng 5210 is required.

COMP ENG 6302 Advanced Topics in Data Mining (LEC 3.0)

Advanced topics of current interest in the field of data mining. This course involves reading seminal and state-of-the-art papers as well as conducting topical research projects including design, implementation, experimentation, analysis, and written and oral reporting components. Prerequisite: A "C" or better grade in Comp Sci 301 Introduction to Data Mining. (Co-listed with Comp Sci 6402 and Sys Eng 6216).

COMP ENG 6310 Markov Decision Processes (LEC 3.0)

Introduction to Markov Decision Processes and Dynamic Programming. Application to Inventory Control and other optimization and control topics. Prerequisite: Graduate standing in background of probability or statistics. (Co-listed with Mech Eng 6447, Aero Eng 6447, Eng Mgt 6410 and Comp Sci 6202).

COMP ENG 6320 Adaptive Dynamic Programming (LEC 3.0)

Review of Neurocontrol and Optimization, Introduction to Approximate Dynamic Programming (ADP), Reinforcement Learning (RL), Combined Concepts of ADP and RL - Heuristic Dynamic Programming (HDP), Dual Heuristic Programming (DHP), Global Dual Heuristic Programming (GDHP), and Case Studies. Prerequisites: Elec Eng 5370 or Comp Eng 5310. (Co-listed with Elec Eng 6360, Mech Eng 6458, Aero Eng 6458 and Sys Eng 6215).

COMP ENG 6330 Clustering Algorithms (LEC 3.0)

An introduction to cluster analysis and clustering algorithms rooted in computational intelligence, computer science and statistics. Clustering in sequential data, massive data and high dimensional data. Students will be evaluated by individual or group research projects and research presentations. Prerequisite: At least one graduate course in statistics, data mining, algorithms, computational intelligence, or neural networks, consistent with student's degree program. (Co-listed with Elec Eng 6340, Sys Eng 6214, Comp Sci 6405, Stat 6239).

COMP ENG 6410 Modeling Complex Systems (LEC 3.0)

Engineering Systems of today are non-linear, distributed, global, and adaptive to their environment in both space and time, thereby creating emergent behaviors. This course covers the current modeling tools and techniques used in modeling and architecting these complex systems. Prerequisites: Graduate Standing. (Co-listed with SYS ENG 6321).

COMP ENG 6420 Wireless Ad hoc and Sensor Networks (LEC 3.0)

Introduction to ad hoc and sensor networks, IEEE standards, heterogeneity, quality of service, wireless channel issues, energy awareness, power and topology control, routing, scheduling, rate adaptation, self-organization, admission and flow control, energy harvesting, security and trust levels, hardware and applications. Prerequisite: Comp Eng 5430 or Comp Eng 5420 or equivalent. (Co-listed with Elec Eng 6430 and Sys Eng 6324).

COMP ENG 6430 High Speed Networks (LAB 1.0 and LEC 2.0)

A state-of-the-art survey of high-speed networks, modeling and simulation, quality of service (QoS) for multimedia applications and management schemes, TCP congestion control, ATM and Internet traffic management, Internet Service Architecture (ISA), and Internet routing protocols. Prerequisites: Comp Eng 5410 and hardware competency for ECE students, Comp Sci 4600 for computer science students, or consent of the instructor.

COMP ENG 6440 Network Performance Analysis (LEC 3.0)

Provides an introduction to performance modeling and analysis of computer networks. Topics include stochastic processes; performance measurement and monitoring; quantitative models for network performance, e.g., Markovian models for queues; simulation; and statistical analysis of experiments. Prerequisites: Comp Eng 5410 or Comp Sci 4600; Stat 3117 or 5643. (Co-listed with Comp Sci 6602).

COMP ENG 6510 Resilient Networks (LEC 3.0)

This course presents reliability and fault tolerance for network-centric systems, including models, metrics, and analysis techniques. This course also concentrates on security, including technical tools and methods for audit and assessment as well as management and policy issues. Prerequisites: Sys Eng 6410, Comp Eng 6410, or Comp Eng 5420. (Co-listed with SYS ENG 6322).

COMP ENG 6810 Philosophy of Scientific Research (LEC 3.0)

Organization and planning of research. Introduction to the philosophy and management of scientific research, particularly issues related to ethics, plagiarism, ownership of intellectual properties, research techniques, technical presentations and time management. The course will address these issues by integrating with case studies. (Co-listed with Chem Eng 6340, IDE 425, Civ Eng 6940, Env Eng 6940, Elec Eng 6810).

Graduate Faculty members are listed under the specific discipline most closely allied with their graduate faculty status which may not necessarily reflect the department in which current appointment is held.

Levent Acar, Associate Professor
PHD Ohio State University
Control and systems, intelligent control with applications to robotics, neural network and fuzzy logic systems, large-scale systems and optimization.

Daryl G Beetner, Professor1
DSC Washington University
Electromagnetic immunity and emissions at the chip and system level detection, detection and neutralization of explosive devices, skin cancer detection.

Rui Bo, Assistant Professor
PHD Univeristy of Tennessee-Knoxville
Computation, optimization and economics in power system operation and planning, high performance computing and its application in power systems, electricity market simulation, evaluation and design.

Egemen K Cetinkaya, Assistant Professor
PHD University of Kansas
Networks, systems, graph algorithms, resilience and dependability.

Minsu Choi, Associate Professor
PHD Oklahoma State University
Computer architecture and VLSI, embedded systems, fault tolerance testing, quality assurance, reliability modeling and analysis, configurable computing, distributed systems and dependable instrumentation and measurement.

Mariesa L Crow, Professor1
PHD University of Illinois-Urbana
Power systems analysis, dynamic stability, computational algorithms, and power electronics.

Kristen Marie Donnell Hilgedick, Assistant Professor
PHD Missouri Univeristy of Science & Technology
Microwave nondestructive testing, modulated antennas/scatterers and terahertz methodologies and electronics design.

James L Drewniak, Curators Professor
PHD University of Illinois-Urbana
Electromagnetic compatibility of high-speed digital electronics, power electronics and electric machinery, numerical electromagnetic analysis and electronic packaging.

Kelvin Todd Erickson, Professor1
PHD Iowa State University
Chemical process control, advanced control algorithms, digital control, programmable logic controllers, and systems identification.

Jun Fan, Professor
PHD University of Missouri-Rolla
Intra-system electromagnetic compatibility, Radio-Frequency interference, signal/power integrity and high-speed printed circuit boards and packages.

Mehdi Ferdowsi, Professor
PHD Illinois Institute of Technology
Power electronics, power converters and electric drives.

Ian Ferguson, Professor
PHD University of St. Andrews, Scotland
Compound semiconducting materials, solid-state optoelectronic devices, spintronics, entrepreneurship.

Jie Huang, Assistant Professor
PHD Clemson University
Fiber optic sensors, laser machining, sensors and instrumentation for applications in harsh environments, microwave-photonic sensing imaging and spectroscopy.

Ali Hurson, Professor
PHD University of Central Florida
Parallel and distributed systems, databases, mobile-databases, pervasive and mobile computing.

Chulsoon Hwang, Assistant Professor
PHD KAIST, Daejeon, Korea
Signal and power integrity of IC/package/PCB system, electromagnetic modeling, time/frequency domain simulation/measurement techniques.

Victor Khilkevich, Assistant Professor
PHD Moscow Power Engineering Institute
Microwave imaging, near field measurements, automotive EMC, electromagnetic interference in electronic systems, EMC materials and signal integrity.

Chang-Soo Kim, Professor
PHD Kyungpook National University
Micro-and nano-sensors, bio-MEMS (Micro Electro Mechanical System), microsystems, sensor engineering, biomedical/agricultural engineering.

Jonathan William Kimball, Associate Professor1
PHD University of Illinois-Urbana
Power electronics, energy harvesting, alternative energy, and multi-phase converters.

Kurt Louis Kosbar, Associate Professor
PHD University of Southern California
Statistical communication theory, spread spectrum systems, computer aided design of communication systems, stochastic process theory, and digital signal processing.

Hamidreza Modares, Assistant Professor
PHD Univeristy of Texas-Arlington
Cooperative control of multi-agent systems, security of cyber-physical systems, reinforcement learning, game-theoretic control, autonomous control.

David Pommerenke, Professor
PHD Technical University Berlin
Electromagnetic compatibility with emphasis on measurement techniques and the application of numerical methods, and the application of FR methods to high voltage problems.

Jagannathan Sarangapani, Professor
PHD University of Texas-Arlington
Control of networks, embedded systems, MEMS, intelligent systems/control, diagnostics/prognostics, and biomedical applications.

Sahra Sedighsarvestani, Associate Professor
PHD Purdue University-W. Lafayette
Component-based software engineering and enterprise integration.

Pourya Shamsi, Assistant Professor
PHD University of Texas-Dallas
Smart-grids, stability assessments in micro-grids, energy management, switching power converters, VHF/UHF dc-dc converters, and motor drives.

Ronald Joe Stanley, Associate Professor
PHD University of Missouri-Columbia
Image and signal processing, computational intelligence, automation and medical informatics.

Steve E Watkins, Professor
PHD University of Texas at Austin
Fiber optic sensing, optical and electronic materials, electro-optic devices and engineering education.

Cheng Hsiao Wu, Professor
PHD University of Rochester
Quantum resistor network theory, semiconductor device modeling, DLTS measurement, and optical computing.

Donald C Wunsch II, Professor1
PHD University of Washington
Adaptive critic designs, neural networks, fuzzy systems, surety, nonlinear adaptive control, intelligent agents, applications and financial engineering.

Maciej J Zawodniok, Associate Professor
PHD University of Missouri-Rolla
Embedded systems for cyber infrastructure, wireless sensor and ad hoc networks, and general wireless communications systems.

Yahong Rosa Zheng, Professor
PHD Carleton University
Wireless communication systems, wireless ad hoc/sensor networks, array signal processing, and real time digital signal processing.

Reza Zoughi, Professor
PHD University of Kansas
Electromagnetics, microwave engineering, and microwave and millimeter wave nondestructive evaluation.

Superscripts 1, 2, 3, 4, 5, and 6 in the faculty listing refer to the following common footnotes:
1 Registered Professional Engineer
2 Registered Geologist
3 Certified Health Physicist
4 Registered Architect
5 Board Certified, American Academy of Environmental Engineers
6 LEED AP Certified