Ph.D. Electrical and Electronics Engineering or Doctor of Philosophy in Electrical and Electronics Engineering is Doctorate Electrical Engineering course. It is subjective in nature and undertakes the research work in depth. After completion the doctorate degree scholars have to submit their ‘thesis’ and then they deserve the respective degree. Regarding Electrical and Electronics Engineering, it is field of engineering that generally deals with the study and application of electricity, electronics and electromagnetism. The duration of the program is minimum two years from the date of registration (three years for external candidates) and maximum five to six years. The minimum qualifications and other eligibility criteria for admission are the same as for regular full time students. Ph.D. is a broad based course involving a minimum course credit requirement and research thesis.

Ph.D. Electrical and Electronics Engineering Eligibility :-

  • Valid GATE score is required for those wishing to pursue Ph.D. in the field of engineering or technology. In order to apply for the Ph.D. in Engineering one must normally have an M.Tech./M.E. in any branch of engineering.
  • In cases, where the admission at the M.Phil. has been conducted through an entrance examination and course work has been prescribed at the M.Phil. level, such M.Phil. candidates when admitted to the Ph.D. programs shall not be required to undertake entrance examination or course work and it shall be considered to have complied with the UGC (Minimum standards and procedure for award M.Phil./Ph.D. Degree).
  • In other cases, where a candidate has done M.Phil. from one university and moves to another university for Ph.D., the new university may give credit and exempt for the course work done in the previous university. However, such a candidate will have to appear in the entrance test as applicable to a fresh candidate directly joining Ph.D. This procedure will apply in case of those candidates who have also obtained Ph.D. degree from abroad.

Ph.D. Electrical and Electronics Engineering Course Suitability

  • Students those who interested or desirous in Electrical and Electronics Engineering and have good communication and interpersonal skills and mature and leader like personality are the most suitable for this course.
  • If one who needs a Ph.D. for promotion in academics career, hike in salary, or stable job in academics then they can join this course. Such candidates should take admission in State run Universities and part time Ph.D.'s courses.
  • They should have good analytical skills such as an eye for detail, sustained attention and the ability to work as part of a team.

How is Ph.D. Electrical and Electronics Engineering Course Beneficial?

  • This degree course enables the students to go for various electrical and electronics engineering and its related jobs.
  • Doctorate Degree enables one to keep pace with the expanding frontiers of knowledge and also provides research training relevant to the present social and economic objectives of the country.
  • It learns to write a good research report and acquires the skill of presenting data in graphical form.


Valid GATE score is required for those wishing to pursue Ph.D. in the field of engineering or technology. In order to apply for the Ph.D. in Engineering one must normally have an M.Tech./M.E. in any branch of engineering.
  • Ph.D. Electrical and Electronics Engineering Syllabus

    Syllabus of Electrical and Electronics Engineering as prescribed by various Universities and Colleges.

    Sr. No.

    Subjects of Study


    Research Methodology


    Scientific Communication


    Specialization paper (Recent trends in Electronics and communication Engineering)


    Detailed Syllabus View:

        Paper I (Research Methodology)


    Subjects of Study


    Common to all faculties


    1) Introduction to Research Methodology: Meaning of Research, Objectives of Research, Motivations in Research, Types of Research, Research Approaches, Significance of Research, Research Methods v/s Methodology, Research and Scientific Methods, Research Process, Criteria of Good Research.


    2) Defining the Research Problem: What is Research Problem?, Selecting the Problem, Necessity of and Techniques in defining the problem.


    3) Research Design: Meaning, Need, Features of Good Design, Concepts, Types. Basic Principles of Experimental Design, Developing a Research Plan.


    4) Sample Design: Implication, Steps. Criteria for selecting a sample procedure, Characteristics of Good sampling Procedure, Types of Sample Design, Selecting Random Samples, Complex random sampling Design.


    5) Measurement and Scaling Techniques: Measurement in Research, Measurement Scales, Sources of Errors in measurement, Tests of Second measurement, Technique of developing Measurement Tools, Meaning of Scaling, Scale Classification Bases, Important Scaling Techniques, Scale Construction Techniques.


    6) Methods of Data Collection: Collection of Primary Data, Observation Method, Interview method, Collection of Data through questionnaire and Schedules, Other methods. Collection of Secondary Data, Selection of appropriate method for data collection, Case Study Method, Guidelines for developing questionnaire, successful interviewing. Survey v/s experiment.


    7) Processing and analysis of Data: Processing Operations (Meaning, Problems), Data Analysis (Elements), Statistics in Research, Measures of Central Tendency, Dispersion, Asymmetry, and Relationship. Regression Analysis, Multiple correlation and Regression, Partial Correlation, Association in case of Attributes.


    8) Sampling Fundamentals: Definition, Need, Important sampling Distribution, Central limit theorem Sampling Theory, Sandler’s Atest, Concept of Standard Error, Estimation, Estimating population mean, proportion. Sample size and its determination, Determination of sample size Based on i) Precision Rate and Confidence level ii) Bayesian Statistics.


    9) Testing of Hypothesis: Meaning, Basic concepts, Flow diagram, Power of a hypothesis test, Important parametric tests, Hypothesis Testing of Means, Differences between Means, Comparing Two related samples, Testing of Proportion, Difference between proportions, Comparing variance to hypothesized population variance, Equality of variances of two normal populations, hypothesis testing of Correlation coefficients, Limitations of Tests of hypothesis.


    10) Chi- square test: Applications, Steps, characteristics, limitations


    11) Analysis of Variance and Covariance: Basic Principles, techniques, applications, Assumptions, limitations.


    12) Analysis of Non-parametric or distribution-free Tests: Sign Test, Fisher-Irwin Test, McNemer Test, Wilcoxon Matched pair Test (Signed Rank Test), Rank.


    13) Sum Tests: a) Wilcoxon-Mann-Whitney Test b)Kruskal-Wallis Test, One sample Runs Test, Spearman’s Rank Correlation, Kendall’s Coefficient of Concordance, Multivariate Analysis Techniques: Characteristics, Application, Classification, Variables, Techniques, Factor Analysis (Methods, Rotation), Path Analysis.


    Faculty of Electronics & Communication


    Research Areas:
    Microelectronics, Wireless Communication, Data communication and Networking, Wavelets, VLSI design and technology, Speech Processing, Image Processing, Electronics Systems, Fiber optic, Signal Processing, Biomedical Electronics and Related areas of Electronics and Communication.


    • Select the area of research
    • Define a problem
    • Outline the Title
    • Survey of Literature and its documentation
    • Formulation of Research hypothesis with expected outcomes
    • Research Plan
    • Requirements Engineering
    • Research Design: Model, Architecture, Prototyping
    • Implementation of Prototype and data collection
    • Data Analysis: Use of Software Tools like MATLAB, SPSS, etc.
    • Testing
    • Evaluation
    • Future scope of research


      Paper II (Scientific Communication)


    Subjects of Study


    Common for all faculties


    1. Basics of Communication skill
    2. English Grammar
    a) Word Choice, Sentence Structure, paragraph structure
    3. Types of Scientific Communication.
    4. Importance of publishing research paper
    5. Publishing paper
    6. Writing Review Articles
    7. Preparing Posters for Scientific Presentation
    8. Preparing and Delivering of Oral Presentation
    9. Writing Practical Reports
    10. Avoiding Plagiarism
    11. Research Grant funding Agencies, Preparing for application to grant providing Agencies.
    12. Patent drafting and submission
    13. IUPAC symbols and Terminology for physicochemical quantities and Units, SI prefixes, Fundamental Constants, Standard Abbreviations and Symbols
    14. Preparing documents for Technology Transfers, MoUs, Confidentiality Agreements


    Faculty of Electronics & Communication


    Exposure on-
    • Study of general guidelines for authors in journals
    • Study of research papers in the area of interest
    • Analysis of studied research papers
    • Planning for research paper
    • Components of the planned research paper
    • Critical parameters of each component
    • Compilation of manuscript
    • Preparation of Hardcopy and Softcopy version of manuscript
    • Selection of Journal
    • Submission of manuscript
    • Final Submission of paper after review comments
    • Select an area from emerging technologies
    • Plan for an innovative project
    • Plan for project proposal
    • Compilation of proposal with data
    • Selection of funding agency (UGC, AICTE, GUJCOST, DST, IT Ministry, CSIR, etc.
    • Submission proposal to the agency
    • Use of MATLAB for scientific visualization of data.


      Paper III (Faculty of Electronics & Communication Engg.)


    Recent Trends in Electronics & Communication


    1. Data and Communication Networks


    • Introduction to computer communication networks and layered architecture overview. Packet switching.
    • Point to Point Protocols and links: ARQ retransmission strategies. Selective repeat ARQ. Framing and standard Data Link Control protocol-HDLC, SDLC, LAPD. Queuing models in communication networks.
    • Multi access Communication and multiple access protocols:
    • ALOHA, slotted ALOHA, CSMA, CSMD/CD. Performance modeling and analysis.
    • Local Area Networks: Ethernet, Token Ring and FDDI.
    • Internetworking issues: Bridges, Routers and Switched networks. Routing and Flow Control algorithms in data networks.
    • IP addressing, subnetting, supernetting
    • Internet Protocol
    • UDP, TCP/ IP Congestion and Flow Control in Internet-Throughput analysis of TCP congestion control. TCP for high bandwidth delay networks. Fairness issues in TCP.
    • Broadband Networks: ATM, Frame relay and Gigabit Ethernet. Traffic Management in ATM networks.


    2. Wavelets and its applications


    • Introduction to time frequency analysis; the how, what and why about wavelets.
    • Short-time Fourier transforms Wigner-Ville transform.
     • Continuous time wavelet transform, discrete wavelet transform, tiling of the time-frequency plane and wave packet analysis.
    • Orthogonal & orthonormal vectors suggested by SNS, Construction of wavelets. Multiresolution analysis. Introduction to frames and biorthogonal wavelets.
    • Multirate signal processing and filter bank theory.
    • Application of wavelet theory to signal denoising, image and video compression, multi-tone digital communication (do not know how it is related to wavelet may be omitted), transient detection.


    3. VLSI design and technology


    • Basics of VLSI Design, Review of MOS transistor models. CMOS logic families including static, dynamic and dual rail logic. Integrated Circuit Layout: Design Rules, Parasitics. Building blocks: ALU's, FIFO's, counters. VLSI system design: data and control path design, floor planning, Design methodology: Introduction to hardware description languages (VHDL), logic, circuit and layout verification. Design examples.
    • VLSI in Communication circuits
    • RF Design using VLSI circuits
    • Environment for VLSI Technology: Clean room and safety requirements. Wafer cleaning processes and wet chemical etching techniques.


    Digital Speech and Image Processing:


    • Discrete time signal and system, Classification of signals, The concept of frequency in continuous time and discrete time signals
    • Transform representation of signals and systems,
    • The speech signal, Digital speech processing , Speech synthesis systems
    • Speaker verification and Identification, Speech recognition systems, Aidsto-the – Handicapped, Enhancement of signal quality.
    • Introduction to image processing, Elements of digital image processing, Image enhancement techniques


    Exts/ References


    1. Digital Image Processing by Rafael C. Gonzalez, Richard E. Woods, Prentice Hall Publication
    2. Digital Processing of Speech Signals by L.R.Rabiner and R.W.Schafer, Pearson Education

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