Introduction
The
Electrical Engineering Department (EE) at
the College of Engineering and Computer Engineering Department (CPE) at the college of
computing and informatics offers a Doctor of Philosophy (Ph.D.) degree in Electrical and Computer Engineering. The Ph.D. program's main goal is to provide advanced knowledge in Electrical and Computer
Engineering topics with in-depth research experience. The program delivers a
comprehensive list of courses based on the fundamentals of applied sciences,
research, and optimization methodologies focused on cutting-edge subjects in
electrical and computer engineering.
Candidates admitted to the Ph.D. program should hold a master degree in Electrical, Computer Engineering, or closely related field. The program requirements for the candidates to be awarded the Ph.D. degree are to successfully finish the course work along with the completion of a research based dissertation.
The program develops the Ph.D. candidates' proficiency in understanding fundamental and advanced issues in electrical and computer engineering, communicating their knowledge with excellent oral and written skills, and taking the lead in research and development in their field of expertise. The candidates should demonstrate their ability to engage independently in state-of-the-art research and provide original and significant contribution in their area of specialization.
Program ObjectivesThe PhDECE Program is designed to achieve the following goals (program educational objectives):
- Continue to develop in-depth knowledge in advanced topics in electrical and computer engineering through life-long-learning
- Disseminate new knowledge, concepts, and ideas to the local and international community.
- Conduct advanced research to fulfill the needs of the United Arab Emirates, the region, and the international community.
- Develop leadership skills in a research-oriented environment with an emphasis on scholarship, teamwork, and professional ethics.
Program Structure
The total course credit is 24 (9 compulsory + 15 electives) for course work and 21 for dissertation work.
| Category |
Compulsory |
Elective |
Total |
| Core Courses |
9 |
|
9 |
| Elective Courses |
|
15 |
15 |
Qualification Exam
|
PASS/FAIL |
|
|
| Doctoral Research Proposal |
3 |
|
3 |
| Dissertation |
18 |
|
18 |
| Total |
30 |
15 |
45 |
Course List:
Compulsory Courses
| N |
Course Code |
Course Name |
Cr. Hrs. |
اسم المساق |
Prerequisites |
| 1. |
0402700
|
Advanced Statistics |
3 |
|
Grad. Standing |
| 2. |
0402701 |
Advanced Numerical Analysis |
3 |
|
Grad. Standing |
| 3. |
0402501 |
Engineering Research Methodologies |
3 |
|
Grad. Standing |
| 4. |
0402797 |
Ph.D. Qualifying Examination |
0
|
|
Grad. Standing |
| 5. |
0402798 |
Doctoral Research Proposal |
3
|
|
Grad. Standing |
| 6. |
0402799 |
Ph.D. Dissertation |
18 |
|
|
Elective Courses
| N |
Course Code |
Course Name |
Cr. Hrs. |
اسم المساق |
Prerequisites |
| 1. |
0402710 |
Advanced Topics in Control and Automation |
3 |
|
Grad. Standing |
| 2. |
0402711 |
Advanced Topics in Non-linear Control |
3 |
|
Grad. Standing |
| 3. |
0402712 |
Advanced Topics in Power Systems |
3 |
|
Grad. Standing |
| 4. |
0402713 |
Advanced Topics in Electric Machines |
3 |
|
Grad. Standing |
| 5. |
0402714 |
Advanced Power Electronics Applications |
3 |
|
Grad. Standing |
| 6. |
0402715 |
Advanced Topics in Autonomous Robotics |
3 |
|
Grad. Standing |
| 7. |
0402720 |
Special Topics in Communication |
3 |
|
Grad. Standing |
| 8. |
0402721 |
Information Theory and Coding |
3 |
|
Grad. Standing |
| 9. |
0402722 |
Radiation and Propagation of EM Wave |
3 |
|
Grad. Standing |
| 10. |
0402730 |
Advanced Signal Processing |
3 |
|
Grad. Standing |
| 11. |
0402740 |
Advanced Analog Electronics |
3 |
|
Grad. Standing |
| 12. |
0402741 |
Advanced Digital Electronics |
3 |
|
Grad. Standing |
| 13. |
0403750 |
Cyber Security and Privacy |
3 |
|
Grad. Standing |
| 14. |
0403751 |
Artificial Intelligence |
3 |
|
Grad. Standing |
| 15. |
0403752 |
Special Topics in Software Applications |
3 |
|
Grad. Standing |
| 16. |
0403760 |
Advanced Multicore Architectures |
3 |
|
Grad. Standing |
| 17. |
0403761 |
Advanced Topics in Embedded Systems |
3 |
|
Grad. Standing |
| 18. |
0403770 |
Special Topics in Communication Networks |
3 |
|
Grad. Standing |
| 19. |
0403771 |
Communication Networks Design and Performance |
3 |
|
Grad. Standing |
| 20. |
0402780 |
Contemporary Topics in Electrical Engineering |
3 |
|
Grad. Standing |
| 21. |
0403781 |
Contemporary Topics in Computer Engineering |
3 |
|
Grad. Standing |
Note that the student is allowed to take up to 6 credit hours of electives from the 500 and/or 600 level elective courses.
Special Admission Requirements
To check admission requirements,
Click Here!
Course Description
General Courses
| 0402700 |
Advanced Statistics |
(3-0:3)
|
| Topics include hypothesis testing, statistical inference, single and multiple linear regression, logistic regression, parametric and non-parametric statistical tests. |
0402701
|
Advanced Numerical Analysis |
(3-0:3) |
| Initial-value problems for ordinary differential equations. Approximation theory. Numerical solutions of nonlinear systems of equations. Boundary-value problem solution for ordinary differential equations. Numerical solutions to partial differential equations. Engineering applications. |
0403701
|
Engineering Research Methodologies |
(3-0:3) |
| Students learn how to apply the engineering research process and methods of inquiry to solve engineering problems. Literature survey for research work, building expertise in the areas of interest, involves critiquing current research work. Basic principles of experimental designs; analyze and evaluate the results. Evaluate the quality of the results and limitations. They will also learn how to communicate findings in specific engineering formats to specialist audiences. Students will learn basic project management and teamwork skills in addition to research ethics. The course project will allow the students to apply research methodology components to research problems of their choice. Students, possibly in small teams, are expected to present and defend their research proposals. |
Elective course
| 0402710 |
Advanced Topics in Control and Automation |
(3-0:3) |
| This course covers the tools and methods for modeling and control systems. The focus will be on system modeling via Lagrange methods, state-space representation, controllability, and observability, controller design using state feedback, pole placement, stability existence, and characterization using the direct Lyapunov method, controller design using the direct Lyapunov method, and basic facts on stochastic systems. |
0402711
|
Advanced Topics in Non-linear Control |
(3-0:3) |
| This course covers the tools and methods for nonlinear control systems. The focus will be on advanced analysis of uncertain nonlinear systems, stabilization of nonlinear systems. Design methodologies for complex interconnected nonlinear systems. Adaptive back-stepping and control-Lyapunov function techniques. Applications of nonlinear and adaptive control design to aerospace and robotic systems. |
| 0402712 |
Advanced Topics in Power Systems |
(3-0:3) |
| The major focus of this course is to train graduate students for developing research projects related to power system operation, control, and dynamics through lecturing or group projects. Students will study and analyze power system dynamics for active and reactive power flow, frequency and voltage control, voltage and angle stability, power system oscillations. Students will study the transmission system and distribution system control using different controllers including different versions of controllers starting from passive controllers to nonlinear controllers. Students also will learn about advanced power system applications such as distributed generation systems, microgrids, and smart grids. Students are required to use Simulink or other tools for simulation aspects for the projects. |
| 0402713 |
Advanced Topics in Electric Machines |
(3-0:3) |
| Advanced dynamic modeling and parameters identification of electric machines. New application areas of electric machines, modeling of dynamic loads. Advanced control strategies of electric drive systems, Digital implementation issues of drive systems. Model parameters and uncertainty issues. |
| 0402714 |
Advanced Power Electronics Applications |
(3-0:3) |
| The major focus of this course is to train graduate students in developing research ability related to the operations of advanced power electronics converters and their modeling, advanced modulations, and control dynamics through lecturing or group projects. The performance of the advanced controllers on the power converter will be discussed for different applications. The necessary concepts are widely reviewed, and a complete model in the Matlab-Simulink environment is developed for obtaining simulation results. |
| 0402715 |
Advanced Topics in Autonomous Robotics |
(3-0:3) |
| This course covers the tools and methods for kinematics and dynamics and analysis and control for robots. The focus will be on open-chain articulated manipulators, but other types of mechanisms will also be covered, including closed chain manipulators such as multi-fingered hands and parallel robots and nonholonomic systems such as wheeled robots. The emphasis of the course will be on developing a systematic, analytical understanding of the basic principles in the analysis and control of robotic systems. |
0402720
|
Special Topics in Communications |
(3-0:3) |
| Advanced and emerging topics are selected from the area of communications. Contents of the course will be provided one semester before it is offered. |
| 0402721 |
Information Theory and Coding |
(3-0:3) |
| Entropy and Information, Information Channels, Source Coding, Data compression Algorithm, Channel Coding, Error-Correcting Codes, Block and Cyclic codes, BCH, Reed-Solomon, Golay, and Fire codes. The algebraic decoding algorithms. Convolutional codes, encoding, and decoding algorithms are given—principles of interleaving and concatenation, The principles of Turbo Codes. |
| 0402722 |
Radiation and Propagation of EM Waves |
(3-0:3) |
EM radiation principles, polarization, antenna characteristics, diploe, horn and microstrip antennas, antenna arrays, scattering by objects, computational methods, EM wave propagation, waveguides, and optical fibers.
|
| 0402730 |
Advanced Signal processing |
(3-0:3) |
| Parametric signal modeling. Spectral estimation. Multirate processing of digital signals. Efficient Fourier transform and convolution algorithms. Fundamentals of adaptive signal processing. Short-time Fourier transform. Two-dimensional signal processing. Some advanced topics in filter design. |
0402740
|
Advanced Analog Electronics |
(3-0:3) |
| The course serves as an advanced course for electronics students in analog electronic circuits analysis, design, and simulation. The course will focus on delivering important knowledge about the different models of MOS and BJT transistors and the limits of operations of analog circuits, including noise, distortion, and coupling effects. The course will pass quickly on elementary building circuits like amplifiers, current mirrors, cascade circuits, and op-amp basics to make sure our Ph.D. students digested the operation of these circuits. Then, the course will cover advanced analog circuits like Rail to rail input and output amplifiers, low noise amplifiers, continuous-time filters essentials, and single transistor crystal oscillators in addition to the CMOS ADC and DAC Principles. |
| 0402741 |
Advanced Digital Electronics |
(3-0:3) |
| VLSI design process; Static and dynamic design; CMOS transistor resistance and capacitance modeling; high-speed gate design, transistor sizing, and logical effort, skewed and symmetric gates; on-chip interconnect types and modeling techniques, cross-talk; sequential logic design and clocking methods, memory and cash design; low power design; design for Manufacturability; design for Testability. |
| 0403750 |
Cyber Security and Privacy |
(3-0:3) |
| The objective of this course is to expose students to cutting-edge research topics in information security and its applications. |
0403751
|
Artificial Intelligence |
(3-0:3) |
| Topics include fuzzy logic, neural networks, neuro-fuzzy, genetic algorithm, and particle swarm algorithm. |
| 0403751 |
Special Topics in Software Applications |
(3-0:3) |
| This course covers cutting-edge and advanced topics in software applications. The contents will vary depending on the topic when the course is offered. |
0403760
|
Advanced Multicore Architectures |
(3-0:3) |
| The primary objective of this course is to present a broad overview of current research topics and interesting developments in the field of computer architecture. In this course, we will mostly read and discuss recent key papers from top computer architecture articles encompassing a variety of topics. The course will be based on advanced topics regarding multicore hardware: core design, Homogeneous vs. heterogeneous cores, memory systems, cache coherence protocols, interconnection networks and Network On a Chip (NOC), and parallel algorithms. In addition to performance, the issues of power, energy, temperature, reliability, and resiliency in the face of process variations in multicore environments are discussed. |
| 0403761 |
Advanced Topics in Embedded Systems |
(3-0:3) |
| Topics include hardware/software embedded systems design using Processing system (PS) and Programing Logic (PL) of modern FPGA boards. |
| 0403770 |
Special Topics in Communication Networks |
(3-0:3) |
| This course covers cutting-edge and advanced topics in communication networks. The contents will vary depending on the theme chosen at every offering of the course. |
0403771
|
Communication Networks Design and Performance |
(3-0:3) |
| The course focuses on modeling and analyzing communication networks, network protocols and applications, using mathematical tools. Topics include queuing models, network delay analysis, optimal routing, capacity planning, and topology design. |
0402780
|
Contemporary Topics in Electrical Engineering |
(3-0:3) |
| This course covers emerging and advanced topics in the field of Electrical Engineering. The contents will vary depending on the topic. |
0402781
|
Contemporary Topics in Computer Engineering |
(3-0:3) |
| This course covers emerging and advanced topics in the field of Computer Engineering. The contents will vary depending on the topic. |
