Electrical Engineering

Interim Chair: Leon Jololian, PhD

Degree Offered Bachelor of Science in Electrical Engineering
Accreditation The Bachelor of Science in Electrical Engineering degree program is accredited by the Engineering Accreditation Commission of ABET, https://www.abet.org, under the commission’s General Criteria and Program Criteria for Electrical, Computer, Communications, Telecommunication(s) and Similarly Named Engineering Programs.
Website https://www.uab.edu/engineering/ece/undergrad
Program Director Leon Jololian, PhD
Email leon@uab.edu
Phone 205 934-8440

The Department of Electrical and Computer Engineering offers a bachelor’s degree in electrical engineering (BSEE), which provides the foundation for students to succeed in any of the areas of electrical or computer engineering, including electronics, biomedical instrumentation, digital computer systems, software systems, power systems, digital control, signal processing, and data analysis. In addition to courses in mathematics; calculus-based physics; chemistry; the humanities and fine arts; and history, social, and behavioral sciences, students take a core of fundamental engineering coursework outside of electrical engineering, a core of courses in the breadth of electrical engineering, and electrical engineering elective courses. 

Each student must complete a senior design team project that comprises six semester hours of coursework (EE 498 Team Design Project I and EE 499 Team Design Project II).


To be a nationally recognized Department of Electrical and Computer Engineering: the first choice for undergraduate and graduate education


To prepare graduates to be immediately productive and able to adapt to a rapidly changing environment while also creating and applying knowledge for the benefit of Birmingham, the state, and beyond

Program Educational Objectives

The Electrical Engineering undergraduate program prepares graduates to:

  • Succeed in a career or graduate studies in electrical and computer engineering
  • Approach problem solving with an engineering mindset
  • Grow professionally

Student Outcomes

Upon completion of the BSEE degree program, our graduates will have:

  1. an ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics
  2. an ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors
  3. an ability to communicate effectively with a range of audiences
  4. an ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts
  5. an ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives
  6. an ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions
  7. an ability to acquire and apply new knowledge as needed, using appropriate learning strategies.

Bachelor of Science in Electrical and Computer Engineering

As a part of Blazer Core Curriculum take the following:
Calculus I
and Calculus I Lab
General Physics I
and General Physics Laboratory I
and General Physics I Recitation
General Physics II
and General Physics Laboratory II
and General Physics II - Recitation
Other Required Courses80
General Chemistry I
and General Chemistry I Recitation
and General Chemistry I Laboratory
Digital Logic
Engineering Programming Methods
Applied Numerical Methods 1
Engineering Problem Solving II
Electrical Circuits
and Electrical Circuits Recitation
Electrical Networks
and Electrical Networks Laboratory
Signals and Systems
Engineering Programming Using Objects
Introduction to Microprocessors
and Introduction to Microprocessors Laboratory
and Electronics Laboratory
Machinery I
and Machinery I Laboratory
Communication Systems
Control Systems
Analog Integrated Electronics
Engineering Operations
Team Design Project I
Team Design Project II
Introduction to Engineering I
and Introduction to Engineering II
Introduction to Engineering
Computer Methods in Engineering
Math Tools for Engineering Problem Solving 1
Calculus II
Computer Aided Graphics and Design
Introduction to Thermal Sciences
Engineering Electives12
Select four courses from the following:
Practical Computer Vision
Wireless Communications
Digital Signal Processing
Industrial Control
Introduction to Computer Networking
Engineering Software Solutions
Power Semiconductor Electronics
Introduction to Embedded Systems
Computer Architecture
Real-Time Process & Protocols
Internet/Intranet Application Development
Software Engineering Projects
Digital Systems Design
Medical Instrumentation
Machinery II
Medical Image Analysis
Brain Machine Interface
Power Systems I
Power Systems II
Protective Relaying of Power Systems
Undergraduate Engineering Research
Total Hours128

Students may also replace EGR 265 and EE 254 with MA 227 and MA 252.


A minimum of 128 hours are required for the B.S.E.C.E.

Residency Requirement

In addition to UAB's residency requirement, to earn a bachelor of science in electrical engineering from UAB, the ECE department requires that students complete the following courses at UAB:

EE 421Communication Systems3
EE 426Control Systems3
EE 431Analog Integrated Electronics4
EE 498Team Design Project I3
EE 499Team Design Project II3
Nine hours of EE 400-level electives9
Total Hours25

Please refer to the School of Engineering overview for policies regarding admission; change of major; transfer credit; transient status; dual degree programs; reasonable progress; academic warning, probation, and suspension; reinstatement appeals; and graduation requirements.

Curriculum for the Bachelor of Science in Electrical Engineering (BSEE)

First TermHoursSecond TermHours
CH 115
CH 116
4EE 2103
EH 1013EGR 11111
EGR 11011EH 1023
MA 125
4MA 1264
ME 1022PH 221
 EGR 1503
 14 18
First TermHoursSecond TermHours
EE 2333EE 316
EE 314
3EE 3003
EGR 26524EE 3333
PH 222
4ME 2512
Blazer Core Course33Blazer Core Course33
 17 15
First TermHoursSecond TermHours
EE 2543EE 337
EE 3183EE 361
EE 351
4EE 3413
EE 4853Engineering Elective 
Blazer Core Course33Blazer Core Course33
 16 14
First TermHoursSecond TermHours
EE 4263EE 4213
EE 4983EE 4314
Electrical Engineering Elective46EE 4993
Blazer Core Course33Electrical Engineering Elective43
 Blazer Core Course33
 15 16
Total credit hours: 125

Transfer students may substitute EGR 200 for EGR 110 and EGR 111.


Students can substitute  MA 227 and  MA 252 for  EGR 265 and  EE 254.


Core Curriculum Area II: Humanities and Fine Art or Area IV: History, Social, and Behavioral Science. Please refer to the Core Curriculum as specified for Engineering majors.


Must be chosen from the approved list of electives.


EE 011. Undergraduate Internship in EE. 0 Hours.

Engineering internship experience in preparation for the student's intended career. Students in a university recognized cooperative education experience should register for COP 011 or COP 012.

EE 210. Digital Logic. 3 Hours.

This course introduces the basic principles of how computers do computations using digital components. Topics include: the number systems, Boolean algebra, circuit minimization of multi-level logic, K-Maps, combinational and sequential logic circuit design, clocked latches, flip-flops, registers, and finite state machines. In class lab.

EE 233. Engineering Programming Methods. 3 Hours.

This course covers fundamentals of computer programming including coding and design elements. Topics include: the software development method, logic and algorithm development, C language coding, debugging, documentation, file input and output, an introduction to data structures, development environments, and command line tools.
Prerequisites: EGR 150 [Min Grade: C]

EE 250. Engineering Problem Solving I. 3 Hours.

This course covers a broad spectrum of engineering applications using engineering algebra. The applications to data reduction, data fitting, circuit, signal, and image analysis are shown.

EE 254. Applied Numerical Methods. 3 Hours.

This course covers applications of numerical mathematical techniques and theories laid out in prior courses. Topics include: Euler’s Method, numerical integration and differentiation methods, root finding methods, accuracy versus precision and its relationship to data storage and algorithm efficiency.
Prerequisites: EGR 265 [Min Grade: C] or (MA 227 [Min Grade: C] and MA 252 [Min Grade: C]) and EGR 150 [Min Grade: C]

EE 300. Engineering Problem Solving II. 3 Hours.

This course covers fundamental mathematical background on complex functions, linear algebra, and the theory of probability and statistics which are indispensable in many electrical and computer engineering sub-fields such as signal and image processing, circuit design, and control systems.
Prerequisites: (MA 126 [Min Grade: C] or MA 226 [Min Grade: C])

EE 305. Fundamentals of Electrical Engineering. 3 Hours.

This course provides a survey of topics fundamental to field of electrical engineering. For non-engineering majors. Not available for credit toward engineering major.
Prerequisites: MA 109 [Min Grade: C]

EE 312. Electrical Systems. 3 Hours.

This course introduces how electrical circuits work and how to analyze them. Topics include: introduction to DC circuit analysis, AC steady-state analysis, first-order transient analysis, ideal transformers, and electrical safety. For non-EE majors.
Prerequisites: MA 126 [Min Grade: C] or MA 226 [Min Grade: C]

EE 314. Electrical Circuits. 3 Hours.

This course covers electrical circuits and their analysis. Topics include: DC circuit analysis, AC steady-state analysis, first-order transient analysis, and electrical safety. For EE Majors.
Prerequisites: (MA 126 [Min Grade: C] or MA 226 [Min Grade: C])

EE 314R. Electrical Circuits Recitation. 0 Hours.

A problem-solving course designed to reinforce concepts in EE 314.

EE 316. Electrical Networks. 4 Hours.

This course expands the Electrical Circuits course with advanced circuits and teaches how to report the results of experiments (emphasis on quantitative literacy). Topics include: Analysis of circuits using classical differential/integral techniques; Laplace transforms; Two-port network parameters; Ideal operational amplifiers; Circuit solution using simulation.
Prerequisites: EE 314 [Min Grade: D] and EH 101 [Min Grade: C] and (MA 126 [Min Grade: C] or MA 226 [Min Grade: C])

EE 316L. Electrical Networks Laboratory. 0 Hours.

Electrical Networks laboratory component.

EE 318. Signals and Systems. 3 Hours.

This course provides fundamental mathematical background for extraction of useful information from signals and for modeling dynamic systems in the frequency domain. Topics include: time-domain and frequency-domain methods for modeling and analyzing continuous-time and discrete-time signals and systems, Fourier, Laplace, and Z transform methods.
Prerequisites: EE 300 [Min Grade: D] and EE 314 [Min Grade: D]

EE 333. Engineering Programming Using Objects. 3 Hours.

This course covers object-oriented thinking and applies it to creating software for engineering applications. Topics include: objected-oriented design and programming in an object-oriented language, graphical user interface framework, project management skills, written and oral communication, Team work, introduction to ethics and intellectual property issues.
Prerequisites: EE 233 [Min Grade: D]

EE 337. Introduction to Microprocessors. 4 Hours.

This course covers computer hardware, interfaces, and programming in assembly and C languages with applications of microcomputers to engineering problems, such as data acquisition and control. Topics include: CPU architecture, assembly language, Input/output interfacing.
Prerequisites: EE 210 [Min Grade: C] and EE 233 [Min Grade: D]

EE 337L. Introduction to Microprocessors Laboratory. 0 Hours.

Introduction to Microprocessors laboratory component.

EE 341. Electromagnetics. 3 Hours.

This course introduces mathematical techniques used to solve problems in antenna design, high-frequency circuit design, and communications. Topics include: Maxwell equations, dynamic and static problems, electromagnetic wave propagation.
Prerequisites: EGR 265 [Min Grade: C](Can be taken Concurrently) or (MA 227 [Min Grade: C] and MA 252 [Min Grade: C])

EE 351. Electronics. 4 Hours.

This course covers fundamentals of solid-state electronics, PN junction diode and diode circuits, bipolar junction transistor (BJT) and field-effect transistor (FET) properties, biasing, frequency response, amplifier configurations, single and multistage amplifier circuits. Students will work on projects in areas such as Internet-of-Things (IoT), and sensor instrumentation.
Prerequisites: EE 316 [Min Grade: C]

EE 351L. Electronics Laboratory. 0 Hours.

Electronics laboratory component.

EE 361. Machinery I. 4 Hours.

This course covers single and multi-phase electrical machines with an introduction to industrial applications. Topics include: fundamentals and applications of polyphase circuits; magnetic circuits; transformers; polyphase synchronous and asynchronous machines.
Prerequisites: EE 316 [Min Grade: C]

EE 361L. Machinery I Laboratory. 0 Hours.

Machinery I laboratory component.

EE 412. Practical Computer Vision. 3 Hours.

This course covers the fundamentals and applications of image analysis. Topics include: image preprocessing, detection, segmentation, classification and recognition, visual tracking, and deep learning.
Prerequisites: EE 318 [Min Grade: C]

EE 418. Wireless Communications. 3 Hours.

This course covers the principles and current applications of wireless technology. Topics include propagation models, modulation, multiple access, and channel and signal coding. Applications of wireless for cellular and Internet of Things (IoT) will also be covered.
Prerequisites: EE 316 [Min Grade: C]

EE 421. Communication Systems. 3 Hours.

This course covers the mathematics of modulation and demodulation of radio signals to transmit and receive information. It focuses on various forms of amplitude modulation (AM), phase and frequency modulation (FM). This course builds on the mathematics from signals and systems course to study how to represent and manipulate these signals in both time and frequency domain. It also studies the effects of sampling, and how these systems operate in the presence of noise.
Prerequisites: EE 318 [Min Grade: C]

EE 423. Digital Signal Processing. 3 Hours.

This course covers the theory and practice of using computers to process and analyze signals. The topics include digital filter analysis and design; Fast Fourier Transform (FFT) algorithms; applications of digital signal processing in engineering problems such as data acquisition and control.
Prerequisites: EE 318 [Min Grade: C]

EE 426. Control Systems. 3 Hours.

This course covers modeling and control of mechanisms or circuits to satisfy stability and performance criteria. Topics include: the theory of linear feedback control systems using complex frequency techniques, block diagram manipulation, performance measures, stability, analysis and design using root locus, and Z-transform methods.
Prerequisites: EE 318 [Min Grade: C]

EE 427. Industrial Control. 3 Hours.

This course covers power control devices and applications, relay logic and translation to other forms, programmable logic controllers (PLCs), proportional-integral-derivative (PID) and other methods for process control, modern laboratory instrumentation, and human-machine interface (HMI) software.
Prerequisites: EE 233 [Min Grade: C] and EE 318 [Min Grade: C] and EE 351 [Min Grade: C]

EE 431. Analog Integrated Electronics. 4 Hours.

This course covers advanced analysis and design using op-amps, differential amplifier, half-circuit analysis, error analysis and compensation. Applications include signal conditioning for instrumentation, instrumentation amplifiers, nonlinear and computational circuits, analog filter design, voltage regulator design, oscillators, and circuit configurations for A-to-D and D-to-A conversion methods. Laboratory exercises emphasize design techniques for projects in areas such as Internet-of-Things (IoT).
Prerequisites: EE 318 [Min Grade: C] and EE 351 [Min Grade: C]

EE 432. Introduction to Computer Networking. 3 Hours.

This course covers the fundamentals of modern computer networks including current applications such as the Internet of Things (IoT). Topics Include: hardware and software level network protocols, network architecture and topology including WANs and LANs, client-server relationships, distributed computing, data transfer, security, virtualization of hardware, multi-tier network configuration examples, and certifications will be addressed.
Prerequisites: EE 233 [Min Grade: C]

EE 433. Engineering Software Solutions. 3 Hours.

This course covers the fundamentals of software design, architecture, and implementation for future software engineers. Topics include customer-focused requirements gathering, project planning, team tools, architectural patterns, environment and component selection, quality assurance, sustainability, versioning. Various development methodologies are discussed with a project demonstrating at least one release cycle.
Prerequisites: EE 333 [Min Grade: C]

EE 434. Power Semiconductor Electronics. 3 Hours.

This course covers the fundamentals of power electronics such as principles of static power conversions, basic power converter architectures, power semiconductor switches, steady-state equivalent circuit modeling, DC transformer model, basic AC equivalent circuit modeling, linearization, and perturbation. Pulse width modulation and controller design, circuit design considerations, and applications of power electronics. The course project emphasizes computer-aided analysis and design of power electronic circuits.
Prerequisites: EE 316 [Min Grade: C] and EE 318 [Min Grade: D] and EE 351 [Min Grade: D]

EE 437. Introduction to Embedded Systems. 3 Hours.

This course provides an applied introduction to the design of embedded systems, including hardware and software aspects. Topics include: various embedded hardware platforms, interfacing industrial bus systems, sensors, actuators, low-power wireless communication, and the application of the Internet-of-Things (IoT).
Prerequisites: EE 314 [Min Grade: D] and EE 337 [Min Grade: D]

EE 438. Computer Architecture. 3 Hours.

Advanced microprocessor topics which include a comparison of advanced contemporary microprocessors, cache design, pipelining, superscalar architecture, design of control units, microcoding, and parallel processors. Basic knowledge of microprocessors is recommended.
Prerequisites: EE 210 [Min Grade: C] and EE 233 [Min Grade: D] and EE 337 [Min Grade: D]

EE 444. Real-Time Process & Protocols. 3 Hours.

Hands-on laboratory course covering topics in real-time computer systems such as algorithms, state-machine implementations, communication protocols, instrumentation, and hardware interfaces.
Prerequisites: EE 233 [Min Grade: D] and EE 337 [Min Grade: D]

EE 447. Internet/Intranet Application Development. 3 Hours.

This course covers the development of software models and applications using Internet/Intranet technologies. Topics include web client-server relationships, multi-tier design models, scripting and validation, basic TCP/IP networking, separation of concerns, markup and data description languages. Projects will allow the opportunity for the use of a range of tools and development platforms.
Prerequisites: EE 233 [Min Grade: C]

EE 448. Software Engineering Projects. 3 Hours.

This course covers practical applications of software engineering including the development of applications for the Internet of Things (IoT). Topics include requirements gathering, design matrices, environment selection, relevant architectural patterns, networking basics, databases, service endpoints, embedded systems selections and security. Projects with a software emphasis will be utilized to demonstrate the principles of IoT applications.
Prerequisites: EE 333 [Min Grade: C]

EE 452. Digital Systems Design. 3 Hours.

This course covers the design of customized complex digital systems using Field Programmable Gate Array (FPGA) based platforms, using modern design tools for simulation, synthesis, and implementation. Topics include hardware design and development languages such as Verilog or VHDL.
Prerequisites: EE 337 [Min Grade: C] and EE 351 [Min Grade: C]

EE 458. Medical Instrumentation. 3 Hours.

This course covers the fundamental operating principles, applications, safety, and design of electronic instrumentation used in the measurement of physiological parameters.
Prerequisites: EE 351 [Min Grade: C]

EE 461. Machinery II. 3 Hours.

Physical principles of DC machines. Mathematical analysis of generator designs using equivalent circuits and magnetization curves. Calculation of motor speed, torque, power, efficiency, and starting requirements. Solid-state speed control systems.
Prerequisites: EE 361 [Min Grade: D]

EE 467. Brain Machine Interface. 3 Hours.

This course explores the brain-machine interfaces, particularly the technologies that directly stimulate and/or record neural activity. This course is divided into three major components: 1) neuroscience and electrode interfaces, 2) brain recording and stimulating front-end circuits, and 3) circuit modeling, simulation, and optimization.
Prerequisites: EE 233 [Min Grade: C] and EE 351 [Min Grade: C]

EE 471. Power Systems I. 3 Hours.

Components of power systems. Performance of modern interconnected power systems under normal and abnormal conditions. Calculation of inductive and capacitive reactances of three-phase transmission lines in a steady state.
Prerequisites: EE 361 [Min Grade: D]

EE 472. Power Systems II. 3 Hours.

Modeling of generators, transformers, and transmission lines for system studies. Introduction to symmetrical components. Calculation of short-circuit currents due to balanced and unbalanced faults. Determination of interrupting ratings of circuit breakers. Transient stability of power systems. Derivation of swing equation and solution by numerical method. Equal area criterion.
Prerequisites: EE 471 [Min Grade: D]

EE 473. Protective Relaying of Power Systems. 3 Hours.

Operating principles of protective relays. Protection of transmission lines, generators, motors, transformers, and buses.
Prerequisites: EE 361 [Min Grade: D]

EE 485. Engineering Operations. 3 Hours.

This course covers the principles and standards of engineering design from ideation to final design. Topics include product development process, problem definition and need identification, embodiment and detail design, design for specific criterion, modeling and cost evaluation. Emphasis is placed on ethics and civil responsibilities in design including environmental, and social issues, liability, sustainability, and reliability through the lens of engineering design.
Prerequisites: EE 312 [Min Grade: D] or EE 314 [Min Grade: D]

EE 489. Undergraduate Engineering Research. 1-3 Hour.

Undergraduate research experiences in electrical and computer engineering under faculty guidance.
Prerequisites: EGR 111 [Min Grade: C] or EGR 200 [Min Grade: C]

EE 490. Special Topics in Electrical Engineering. 1-3 Hour.

This course covers contemporary topics in Electrical Engineering selected by faculty.

EE 491. Individual Study in Electrical Engineering. 1-6 Hour.

Faculty-guided self-study of special topic in electrical and computer engineering.

EE 492. Honors Research I. 4 Hours.

Departmental honors students work closely with faculty to develop research skills.
Prerequisites: EGR 301 [Min Grade: C](Can be taken Concurrently)

EE 493. Honors Research II. 4 Hours.

Departmental honors students work closely with faculty to develop research skills.
Prerequisites: EGR 492 [Min Grade: C]

EE 498. Team Design Project I. 3 Hours.

This course is the first part of a two-semester team design project. The deliverables include detailed design, documentation, and project plan for completion in EE 499. Design projects are chosen from analog/digital systems, machine learning, embedded systems, signal processing, Internet of Things (IoT), and others. Course taken during the student's final year of the program.
Prerequisites: EE 333 [Min Grade: D] and EE 337 [Min Grade: D] and EE 351 [Min Grade: D](Can be taken Concurrently) and EE 485 [Min Grade: D](Can be taken Concurrently)

EE 499. Team Design Project II. 3 Hours.

This course is the second part of a two-semester team design project focusing on project implementation. Teams are required to complete a written design report and a final oral and poster presentation. Course is taken the during the student's final year of the program, in the term immediately after successfully completing EE 498.
Prerequisites: EE 498 [Min Grade: C]


Conner, David A., Professor Emeritus and Chair Emeritus of Electrical and Computer Engineering, 1978, BSEE. MSEE, PhD (Georgia Tech), Electromagnetics; Engineering design education.
Haider, Mohammad, Associate Professor of Electrical and Computer Engineering, 2011, MS (Bangladesh University of Engineering and Technology), Ph.D. (Tennessee-Knoxville), Inkjet-printed sensors and devices; Edge computing; Reservoir-based machine learning; Low-power wireless transmitter.
Hsu, Shih-Min, Instructor of Electrical and Computer Engineering, 2020, BS (National Taiwan University of Science and Technology), MS, PhD (LSU), PE (LA), Power systems; Machinery; Dynamic stability; Model validation.
Jannett, Thomas C., Professor Emeritus of Electrical and Computer Engineering, 1984, B.S.E., M.S.E. (UAB), Ph.D. (Auburn), Sensor Networks, Biomedical Instrumentation and Control Systems
Jololian, Leon, Professor and Interim Chair of Electrical and Computer Engineering, 2017, B.S. (Manhattan College), M.S. (Georgia Institute of Technology), M.S. (Polytechnic University), Ph.D. (New Jersey Institute of Technology), Software Engineering, Internet of Things, Mobile and Cloud Computing, and Machine Learning
Lingasubramanian, Karthikeyan, Assistant Professor of Electrical and Computer Engineering, 2011, Ph.D. (South Florida), Hardware Security, Reliability and Low Power Design for Digital VLSI Circuits and Systems
Marstrander, Jon, Instructor of Electrical and Computer Engineering, 2005, B.S.E.E., M.S.E.E. (UAB), P.E. (Alabama), Signal and Image Processing, Embedded Systems, and Field Programmable Gate Arrays
Mirbozorgi, S. Abdollah, Assistant Professor of Electrical and Computer Engineering, 2018, BS (Mazandaran University), MS (Ferdosi University of Mashhad), PhD (Laval University), Advancing innovative neurotechnologies; Short-range wireless power and data transmissions; Ultrasound technologies; Integrated analog/mixed-signal circuits and microsystems; Assistive technologies.
Myers, Gregory, Instructor of Electrical and Computer Engineering, 2000, BS (Auburn), MS (UAB). , Computer methods in engineering; Programming; Internet of Things.
Nakhmani, Arie, Associate Professor of Electrical and Computer Engineering, 2011, B.Sc., M.Sc., Ph.D (Technion - Israel Institute of Technology), Computer Vision, Visual Tracking, Biomedical Image Analysis, Systems and Control
Nelson, Dalton S., Assistant Professor of Electrical and Computer Engineering, 1994, B.S.E.E., M.S.E.E., (UAB), Ph.D. (UAH), P.E. (Alabama), Intelligent Control Systems, Medical Instrumentation, Software Systems and Algorithm Development
Smith, Rachel June, Assistant Professor of Electrical and Computer Engineering, 2022, BS (University of Tennessee, Knoxville), MS, PhD (University of California, Irvine)., Dynamical network modeling; Biomedical signal processing; System theory; Neural stimulation; Computational modeling in epilepsy; Neuroengineering.
Tanik, Murat M., Professor and Chair of Electrical and Computer Engineering, 1998, B.S. (Middle East Technical), M.C.S., Ph.D. (Texas A&M), Software Systems Engineering, Quantum Information Theory, Embedded Systems
Vaughn, Gregg L., Professor Emeritus of Electrical and Computer Engineering, 1979, B.S.E.E., M.S.E.E, Ph.D. (Alabama), P.E. (Alabama), Digital Communication, Image Processing, Radiation Effects
Yildirim, Abidin, Associate Professor of Electrical and Computer Engineering, 2016, BS (Bogazici University), MS (Beuth University of Applied Sciences, Berlin), MS (UAB) PhD (Texas Tech University)., Autonomous systems; Brain-machine interface; Embedded systems; Biomedical instrumentation.