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.
| S.no | 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:
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