PhD Electrical Engineering

Program Details

Eligibility Criteria: MS Engineering in relevant discipline with minimum CGPA 3.0/4.00 or equivalent (70%), UW Entry Test (Minimum 70% Marks) or GAT-Subject (Minimum 60% Marks) or GRE-Subject (Minimum 60 Percentile).
Degree Requirements: Minimum 48 Credit Hours
Duration: 3 Years
Semesters: 6

The courses in PhD Electrical Engineering degree program are categorized as: Coursework (18 Credit Hours) Dissertation (30 Credit Hours)	Code	Course Title	CH
	EE-7XX	Elective - I	3+0
	EE-7XX	Elective - II	3+0
	EE-XXX	Elective - III	3+0
	EE-XXX	Elective - IV	3+0
	EE-8XX	Elective - V	3+0
	EE-8XX	Elective - VI	3+0
	EE-899	PhD Dissertation	30

COURSES
Code	Course Title	CH	Code	Course Title	CH
EE-711	Intelligent Tools for Power System	3+0	EE-813	Modern Electrical Derives	3+0
EE-712	Modeling and Simulation of Power System Components	3+0	EE-814	Power System Operation	3+0
EE-713	Power System Optimization	3+0	EE-815	Advanced Electrical Machine Design	3+0
EE-714	Power System Dynamics and Stability	3+0	EE-831	Wireless Sensor Networks	3+0
EE-715	Advanced Topics in Power	3+0	EE-832	Advanced Topics in Communication Systems	3+0
EE-721	High Voltage Engineering	3+0	EE-833	Estimation and Detection Theory	3+0
EE-731	Special Topics in Wireless Communication	3+0	EE-834	Advanced Engineering Electromagnetics	3+0
EE-741	Advanced Digital Signal Processing	3+0	EE-841	Stochastic Signal Processing	3+0
EE-742	Biomedical Image Processing	3+0	EE-842	Pattern Recognition	3+0
EE-761	Advanced Control Systems	3+0	EE-843	Adaptive Signal Processing	3+0
EE-762	Advanced Topics in Control	3+0	EE-844	Speech Processing	3+0
EE-771	Optimization Methods for Systems and Control	3+0	EE-861	Advanced Control Engineering	3+0
EE-772	Optimal Control System	3+0	EE-862	Fuzzy Control Systems	3+0
EE-781	Non-Linear Control Systems	3+0	EE-863	Advanced Topics in Intelligent Systems and Controls	3+0
EE-811	Smart Grids and Distribution Networks	3+0	EE-864	Advanced Process Control	3+0
EE-812	Advanced Topics in Renewable Energy	3+0	EE-881	Adaptive Control and Nonlinear Stability Theory	3+0