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PhD of Science Program in Electrical Engineering

PHD OF SCIENCE PROGRAM IN ELECTRICAL ENGINEERING


Electrical Engineering is a fast changing profession and there are rapid advances in research and development of different specialization of electro technology. To cope with such advancements, some electrical engineers usually need a much higher level of education and training. The Ph.D. program was initiated in the Electrical Engineering Department in 1412H (1991G). This program responds to the needs of national research and development centers for highly qualified specialists in electrical engineering capable of effective contributions to complex scientific and technical projects.

A good deal of the scientific thesis work of graduate students deals with advanced research, development and application problems in various fields of electrical engineering. The Department has directed its research abilities so as to benefit from the rapid advances in all fields in electrical engineering to match the needs and requirements of the development plans of the Kingdom of Saudi Arabia. 

Program Mission:

To prepare graduates who can play prominent role in achieving Saudi Arabia 2030 vision to transform into a knowledge-based economy. Program graduates will continually build on the attained knowledge and skills to tackle societal challenges through innovative designs and advanced research. They will achieve a prominent career in a wide range of professions in industry, government, and academia.

 

Program Goals:

Goal 1: Prepare graduates to cope with the fast-growing demands of society in their areas of specialization through innovative solutions and advanced research.

Goal 2: Emphasize professional competence that enhances community services and reflects on the society’s quality of life.

Goal 3: Provide graduates who would excel in teamwork to provide innovative solutions to solve engineering challenges.

Goal 4: Inspire graduates to demonstrate a prominent career in a wide range of professions in industry, government, as well as academia.

 Electrical PhD Graduate Attributes:

  1. Profound comprehensive knowledge and lifelong learning.

  2. Technical skills and tools.

  3. Research and innovation.

  4. Methodical critical Thinking.

  5. Effective communication and Responsibility. 

  6. Public obligation and professional ethics. 

  7. Initiative and adaptation.

 

PhD Program Learning Outcomes:

Graduates of PhD Programs will be able to:

 

Knowledge:

 

K1: Exhibit extensive knowledge of the major field along with comprehensive insight into the associated research trends. Identify major analysis methods, simulation tools and experimental systems required to conduct research.

 

Skills:

 

S1: Enhance scientific knowledge through sound and innovative research. 

 

S2: Demonstrate pedagogical skills in classrooms.

 

S3: Realize critical thinking and Pertain informed judgment which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts.

 

Values:

V1: Synthesize research results into value-added science and communicate the outcomes through distinguished journals and conference proceedings.

 

V2: Illustrate leadership skills and confirm commitment to ethical and professional responsibility.

 

V3: Promote life-long education through initiation and participation in continuous education training and short-course programs.

Degree Requirements:

1.      Completing 18 credit hours of course work from the approved Post Graduate (Ph.D.) Courses.

2.      Passing the Ph.D. qualifying comprehensive exam.

3.      Satisfactory completion of the Ph.D. thesis. The student can register in the Ph.D. thesis only after he passes the qualifying comprehensive examination. He also has to meet residency requirements.

 

The available PhD courses, in different specializations, are given below.

 Electronics:

Ø  EE 610 Semiconductor Characterization Techniques

Ø  EE 611 Semiconductor Device Modelling

Ø  EE 612 Design and Technology of Solar Cells

Ø  EE 613 Design and Application of Photovoltaic Systems

Ø  EE 614 MOS Devices for Advanced VLSI

Ø  EE 615 Analysis and Design of VLSI Circuits

Ø  EE 616 VLSI Layout and Processing

Ø  EE 617 Layout Design of Bipolar Integrated Circuits

Ø  EE 618 VLSI for Fast Processing Systems

Ø  EE 619 Advanced Topics in Electronics

 

Communications:

Ø  EE 620 Signal Detection and Estimation

Ø  EE 621 Channel Coding Theorem

Ø  EE 622 Advanced Digital Communications

Ø  EE 623 Digital Signal Processing

Ø  EE 624 Antenna Theory and Design

Ø  EE 625 Propagation of Electromagnetic Waves

Ø  EE 626 Secure Communication Systems

Ø  EE 627 Advanced Network Planning and Tele-traffic Engineering

Ø  EE 628 Radar Systems

Ø  EE 629 Advanced Topics in Communications

 

 Electrical Machines and Power Electronics:

Ø  EE 630 Advanced Theory of Electro-Mechanical Energy Conversion

Ø  EE 631 Computer Aided Analysis of Electrical Machines

Ø  EE 632 Special Types of Electrical Machinery

Ø  EE 633 Computational Methods in Electromagnetics

Ø  EE 634 New Concepts in Electric Machine Design

Ø  EE 635 Voltage and Frequency Converter Systems

Ø  EE 636 Special Drives and Reactive Power Control

Ø  EE 637 Advanced Topics in Drives & Power Electronics

Ø  EE638 Linear Electric Machines

 

Electrical Power:

Ø  EE 640 Large Scale System Analysis 

Ø  EE 641 Stability of Large Power Systems

Ø  EE 642 Power System Operation and Security

Ø  EE 643 Optimal Power System Planning

Ø  EE 644 Reliability Evaluation of Power System

Ø  EE 645 Electromagnetic Transients in Power System

Ø  EE 646 Advanced Power System Protection

Ø  EE 647 High Voltage Insulation

Ø  EE 648 Corona and Field Effects of High Voltage Systems

Ø  EE 649 Advances in Power System

 

Control Systems and Computers:

Ø  EE 650 Artificial Intelligence in Engineering

Ø  EE 651 Parallel Processing and Programming

Ø  EE 652 Computer Network Protocols

Ø  EE 653 Computer Vision and Image Processing

Ø  EE 654 Microprocessor Based Instrumentation & Control

Ø  EE 655 Digital Control Systems

Ø  EE 656 Non-linear Control Systems

Ø  EE 657 Stochastic Control Systems

Ø  EE 658 Adaptive and Learning Control Systems

Ø  EE 659 Advanced Topics in Computer & Control

 

Seminar Courses and Thesis:

Ø  EE 661 Seminar (1)

Ø  EE 662 Seminar (2)

Ø  EE 663 Seminar (3)

Ø  EE 700 Ph.D. Research

 

 

PhD Course Descriptions

PhD Handbook

 

Last updated on : January 12, 2023 2:42am