PhD Electrical Engineering


The Doctor of Philosophy (PhD) program in Electrical Engineering prepares graduates for industrial or academic research in the fields of Communication, Embedded System, Control, and Power System Engineering. PhD Electrical Engineering program focuses on producing skilled researchers who can contribute by creation of new knowledge and propose solutions to challenges faced by the practitioners and researchers of the discipline.

Program Mission:

The PhD in Electrical Engineering strives to provide an environment, which is conducive to create new knowledge, for independent or collaborative research, and to produce highly skilled professional and academicians.

Program Educational Objectives

The objectives of PhD (Electrical Engineering) program are

1. To equip scholars with necessary knowledge relevant tools and techniques to make significant contribution in the field of study by conducting quality research independently or in collaboration.
2. To prepare scholars to effectively disseminate result in the form of written and oral presentation
3. To produce skilled professionals who can take up the challenges associated with the advancement of science and technology in industry or in academia.

Program Learning Outcomes

PhD scholars who successfully complete their PhD in Electrical Engineering will be able to:
PLO 1: Perform advance research that is grounded in theory, practice and further extends the existing research in the field
PLO 2: Produce quality research that have a positive impact toward the welfare and betterment of society
PLO 3: Communicate effectively both in oral and written formats to a diverse audience.
PLO 4: Collaborate with the peers in the domain of Electrical Engineering to integrate diverse perspectives

Program structure:

The PhD program consists of 18 credit hours of course work and 36 credit hours of research work. Coursework should be completed in the first two semesters. After successful completion of coursework, a PhD scholar is required to appear in the comprehensive examination. After passing comprehensive examination PhD scholar can register in the research phase by registering THS 900 PhD Thesis course. The first milestone in research phase is to prepare and submit a research Proposal under the guidance of a supervisor. The scholar appears before a panel of examiners to defend the research proposal. After successful defense, the scholar needs to carry out his/her research and complete total 36 credits of research. The scholar will present the research finding in the form of a written thesis, which shall be evaluated as per HEC and BU rules. For further details about rules governing PhD programs refer to PhD Rules Handbook.
Semester wise breakdown of the program is as follows.

Course code Subject Credits
Course Work (Student shall study 3 courses) 9
Total Credits for 1st Semester 9
Course code Subject Credits
Course Work (Student shall study 3 courses) 9
Total Credits for 2nd Semester 9
Course code Subject Credits
Comprehensive exam 0
PHD Thesis 9
Total Credits for 3rd Semester 9
Course code Subject Credits
PHD Thesis 9
Total Credits for 4th Semester 9
Course code Subject Credits
PHD Thesis 9
Total Credits for 5th Semester 9
Course code Subject Credits
PHD Thesis 9
Total Credits for 6th Semester 9
Total credit for PHD program 54

Core Courses

Student shall register at least 3 courses from the list of Electrical Engineering courses. EE courses offered in MS programs at Bahria University with course code 7XX shall be considered as part of Electrical Engineering courses for PhD (EE). Student can take 700+ courses from MS CS/EE/SE/Data Science and IS programs. Supervisor/Advisory committee will decide about the relevance of such courses for each scholar.

S# Course Code Title of Course Cr. Hrs.
1 EET 762 Communication Networks Arch and Protocols 3
2 EET 766 RF System Engineering and Design 3
3 EET 750 Antenna Theory, Design and Applications 3
4 EET 755 Wireless Communication Techniques 3
5 EET 756 Telecommunication Switching Systems 3
6 EET 706 Advanced Obtical Fibre Networks 3
7 ET 725 Advanced Routing and Switching 3
8 EET 726 Advanced Internet Technologies 3
9 EET 723 Optimization Techniques 3
10 EET 713 Advanced Network Design 3
11 EET 757 Mobile Computing 3
12 EET 702 Advanced Network Security 3
13 EET 850 Wireless Sensor Networks 3
14 EET 851 Mobile and ad-hoc Networks 3
15 EET 727 Cognitive Cooperative Networks 3
16 EET 711 Advanced Digital Communications 3
17 EET 768 Cognitive and Software Defined Radio 3
18 EEN 725 Advanced Digital Signal Processing 3
19 EEN 824 On-Chip Interconnection Networks 3
20 EEN 740 Embedded System Design for Telecommunications 3
21 EEN 825 Optimal sampled – Data Control Systems 3
22 EEN 826 Networked Dynamic Systems 3
23 EEN 725 Advanced Digital Signal Processing 3
24 EEN 728 Real Time DSP Design and Applications 3
25 EEN712 Advanced Digital Communication Systems 3
26 EEN 827 Modern Control Theory 3
27 EEN 828 Advanced Nonlinear Control Systems 3
28 EEP 770 Power Management in Wired and Wireless Systems 3
29 EEP 716 Advanced Power Electronics 3
30 EEP 771 Low Power System Design 3
31 EEP 772 Power Awareness in Distributed Systems 3
32 EEP 773 Power System Stability and Dynamics 3
33 EEP 774 Power System Transients 3
34 EEP 775 HVDC and Flexible AC Transmission 3
35 EEP 776 Rural Electrification and Distributed Generation 3
36 EEP 777 Artificial Intelligence Techniques in Power Systems 3
37 EEP 778 Power System Deregulation 3
38 EEP 757 Non-conventional Energy System 3
39 EEP 723 Thermal and Nuclear Power Generation 3
40 EEP 714 Advance d Topics in Renewable Energy 3
41 EEP 719 Advanced Topics in Power System Engineering 3
42 EEP 720 Computer Methods in Power System 3
43 SEN 723 Formal Methods and Specifications 3
44 SEN 753 Power Aware Computing 3
45 SEN 755 Service Oriented Computing 3
46 CEN 707 Advanced Distributed Systems 3
47 CEN 708 Advanced System Modeling and Simulation 3
48 CEN 745 Advanced Digital Image Processing 3
49 CEN 720 Advanced Computer Architecture 3
50 CEN 740 Advanced Embedded System 3
51 CEN 741 ASIC Design Methodology 3
52 CEN 742 Advanced Digital System Design 3
53 CEN 754 MOS VLSI Circuit Design 3
54 CSC 719 Machine Learning 3
55 CSC 750 Advanced Neural Networks 3
56 CSC 759 Agent Based Modeling 3
57 ESC 703 Advanced Qualitative Research Methods 3
58 ESC 704 Advanced Quantitative Research Methods 3
59 ESC716 Advanced Topics in Wireless &Networking 3
60 ESC 701* Research Methodology 3

*It is mandatory to study ESC 701 Research Methodology, if the scholar has not studied this or equivalent course in MS program.

Allied Engineering Courses

Students can study maximum two allied/interdisciplinary courses during their PhD
(EE) program.
The choice of allied courses is not limited to the following list and based on PhD Supervisor’s recommendation requisite PhD course(s) from SE, CE and CS department can be registered.

61 ESC 705 Critical Review of Literature 3
62 GSC 701 Logic and Research 3
63 CSC 704 Advanced Cryptography 3
64 CSC 711 Advanced Artificial Intelligence 3
65 GSC 700 Advanced Engineering Mathematics 3
66 CEN 708 Advanced System Modelling and Simulation 3
67 SEN 754 Bio Medical Image Analysis 3
68 CSC 751 Pattern Recognition 3
69 CSC 764 Computer Vision 3
70 SEN 745 Data Ware Housing and Mining 3
71 SEN 751 Human Aspects in Software Engineering 3
72 SEN 754 Advanced Web Computing System and Application 3
Research Themes of Electrical Engineering

The EE program provides the graduates with the broad as well as in-depth technical education necessary for productive employment in the public or private sector. It aims at development of understanding of advanced issues important for current and future needs of the region. Quality research aims to encompass a broad area covering advanced digital and analogue electronics, communication, signal processing, multimedia, computer vision, advanced controls for robotics and microelectronics/nano-electronics.
The potential research themes / areas are as follows:

  • Control, Intelligent Systems and Robotics
  • Communications & Networking
  • Cyber-Physical Systems and Design Automation
  • Design, Modeling and Analysis
  • Integrated Circuits
  • Micro/Nano Electro Mechanical Systems
  • Physical Electronics
  • Signal Processing
  • Power Generation, Transmission and Distribution
  • Smart Grids Technologies
  • Renewable Power Generation
  • Communication
  • Electromagnetics and Photonics
  • High Voltage Engineering
  • Image Processing, Multimedia and Biomedical Imaging
  • Nano Devices and Integrated Systems
  • Power Electronics
  • Power Systems
  • Systems Science and Signal Processing
  • System engineering
  • Electricity Market in Smart Grid
  • Electrical Machines
  • Instrumentation Engineering