PhD Computer Engineering


The objectives of the program are to enhance the student’s ability to be successful individual and advance their chosen careers in industry, academia, and public institution, hence making significant contributions to the national growth. In department of Computer Engineering, We are offering specializations in a wide range of related filed like: Computer Vision, Machine Learning, and Neural Networks, Advanced Computer Architecture, Wireless and Advanced Network Systems. To fulfil post graduate research and academic endeavors in this wide range of specializations, the students can also avail the highly competent and top notch faculty from other sister engineering departments of the university.

The department is the highest ranked department w.r.t research output throughout Bahria University with a highest publications to faculty ratio. More than 33% of the department’s faculty have PhD degrees and all our faculty members have publications in renowned local and international conferences or journals. The department has active research groups like Computer Vision and Pattern Recognition (CVPR) and Robotics research group. These research groups offer multiple range of research areas to the PG students for their post graduate research. The department also has collaborations and linkages with other Universities and their Research Groups including NUST, CASE, and PIEAS etc.

The department offers attractive packages for students willing to peruse their post graduate studies by giving a 50% fee waiver for the students having a CGPA 3.5 and above and admission fee exemption for Bahria Alumni.


Proposal/Synopsis of PhD proposed Research topic is required at the time of admission.


Program Structure


The program structure for the PhD is as follows. Activity Credits
1 Course work 18
2 Thesis 36
Total 54


Program Road map


The proposed road map of the PhD program is presented in the following. After passing the 18 credit hours course work, preferably in the first two semesters, the candidate will have to pass comprehensive exam. After qualifying the comprehensive exam, candidate will have to defend the synopsis and will be offered Supervised Research (PhD Thesis) of 36 credit hours.

Semester 1

Course Code Subject Credits
EEN-801 Research Methods in PhD Studies 3
Elective-I 3
Elective-II 3
Total credit hours 9

Semester 2

Course Code Subject Credits
Elective-III 3
Elective-IV 3
Elective-V 3
Total credit hours 9

Semester 3

Course Code Subject Credits
EEN-901 Comprehensive Exam 0
EEN-902 Supervised Research (PhD Thesis) including defense and acceptance of research proposal 9
Total credit hours 9

Semester 4

Course Code Subject Credits
EEN-902 Supervised Research (PhD Thesis) 9
Total credit hours 9

Semester 5

Course Code Subject Credits
EEN-902 Supervised Research (PhD Thesis) 9
Total credit hours 9

Semester 6

Course Code Subject Credits
EEN-902 Supervised Research (PhD Thesis) 9
Total credit hours 9
Total Credit hours for PhD Program 54

List of Elective Courses

S.No Course Code Title Of Course Cr. Hrs.
1 CEN-707 Advanced Distributed Systems 3
2 CEN-708 Advanced System Modeling and Simulation 3
3 CEN-720 Advanced Computer Architecture 3
4 CEN-740 Advanced Embedded Systems 3
5 CEN-741 ASIC Design Methodology 3
6 CEN-742 Advanced Digital System Design 3
7 CEN-754 MOS VLSI Circuit Design 3
8 CEN-711 Advanced Artificial Intelligence 3
9 CEN-719 Machine Learning 3
10 CEN-750 Advanced Neural Networks 3
11 CEN-751 Pattern Recognition 3
12 CEN-759 Agent Based Modeling 3
13 CEN-764 Computer Vision 3
14 CEN-765 Bio Medical Image Analysis 3
15 CEN-725 Advanced Digital Signal Processing 3
16 CEN-728 Real Time DSP Design and Applications 3
17 CEN-711 Advanced Digital Communications 3
18 CEN-770 Power Management in Wired and Wireless Systems 3
19 EEP-771 Low Power System Design 3
20 EEP-772 Power Awareness in Distributed Systems 3
21 EEP-773 Power System Stability and Dynamics 3
22 EEP-774 Power System Transients 3
23 EEP-775 HVDC and Flexible AC Transmission 3
24 EEP-776 Rural Electrification and Distributed Generation 3
25 EEP-777 Artificial Intelligence Techniques in Power Systems 3
26 EEP-778 Power System Deregulation 3
27 SEN-723 Formal Methods and Specifications 3
28 SEN-745 Data Ware Housing and Mining 3
29 EEP-778 Power System Deregulation 3
30 SEN-751 Human Aspects in Software Engineering 3
31 SEN-753 Power Aware Computing 3
32 ESC-702 Research Methods in PhD Studies 3
33 ESC-703 Advanced Qualitative Research Methods 3
34 ESC-705 Critical Review of Literature 3
35 GSC-700 Advanced Engineering Mathematics 3
36 GSC-701 Logic and Research 3
Research Themes of Computer Engineering

Computer Engineering programs expose scholars to the complete life-cycle of computer application development including abstraction, modeling and algorithm development and leveraging computer systems.
The potential research themes / areas are as follows:


  • Data Mining
  • Expert Systems and artificial Intelligence
  • Digital Signal Processing & communication
  • Multimedia Signal Processing
  • Image Processing and Pattern Recognition
  • Robotics
  • Information & Communication
  • Optical and Wireless Communications
  • Internet Technologies
  • Ad-Hoc and Mobile Communications
  • Wireless Sensor Networks
  • Concurrent, Distributed and Parallel Computing
  • System Modeling and Simulation
  • Soft Computing
  • Optimization Algorithms
  • Embedded Systems
  • VLSI & Digital System Design
  • Cloud Computing
  • Antenna & Electromagnetic
  • Bioinformatics
  • Wireless and mobile communications
  • Software systems, computer security and simulation
  • Human motion tracking and automated planning
  • Electromagnetics and scattering analysis
  • Industrial automation, robotics and biomedical engineering
  • Communications security and cryptology
  • Instrumentation and control, smart sensors and robotics
  • Non-linear signal and image processing methods
  • Programming methodology and languages
  • Real-time systems