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Doctor of Philosophy in Electrical Engineering

College
College of Engineering
Department
Electrical and computer Engineering
Tracks
Control & Power \ Electronics \ Communication Systems \ Signal & Image Processing Information and System Security Computer Architecture and Embedded Systems \ Computer Applications \ Computer Networks \ Microelectronics and VLSI
Commenced Year
2018
Location
Sharjah Main Campus
Level
Phd
Study System
Thesis and Courses
Total Credit Hours
45 Cr.Hrs
Fees
Total 274,050 AED
Duration
3-5 Years
Language
English
Intake
Fall & Spring
Study Mode
Full Time

Doctor of Philosophy in Electrical Engineering

Introduction
The Electrical and Computer Engineering Department (ECE) offers a Doctor of Philosophy (Ph.D.) degree. The Ph.D. program 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 Objectives
The PhDECE Program is designed to achieve the following goals (program educational objectives):

  1. Continue to develop in-depth knowledge in advanced topics in electrical and computer engineering through life-long-learning
  2. Disseminate new knowledge, concepts and ideas to the local and international community.
  3. Conduct advanced research to fulfill the needs of the United Arab Emirates, the region, and the international community.
  4. Develop leadership skills in a research-oriented environment with emphasis on scholarship, teamwork and professional ethics.

Program Structure
The total course credit is 24 (9 compulsory + 15 elective) for courses 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 PhD Qualifying Examination 3 Grad. Standing
5. 0402798 Doctoral Research Proposal 3 Grad. Standing
6. 0402799 PhD 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, this 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 team work skills in addition to research ethics. Course project will allow the students to apply research methodology components on 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 the 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 non-linear 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 modelling and parameters identification of electric machines. New application areas of electric machines, modelling 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 converter and its modelling, advanced modulations and control dynamics through lecturing or group projects. The performance of the advanced controllers on power converter will be discussed for different applications. The necessary concepts are widely reviewed and a complete model in 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 the 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 algorithms, 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 PhD 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-edged 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 multi-core 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 environment are discussed. ​ ​
 

0403761 Advanced Topics in Embedded Systems (3-0:3)
Topics include hardware/software embedded systems design using Processing system (PS) and Programing Logics (PL) of modern FPGA boards ​ ​
 

0403770 Special Topics in Communication Networks (3-0:3)
This course covers cutting-edged 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 modelling 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. ​ ​