Electronics & Communication Engineering

Admission Portal


The schedule mentioned below are tentative:

Last date of application to be considered for Ph.D admission in odd semester 2021-2022 30th June (Wednesday)
Date of Entrance Examination and Interview in all department for PhD admission odd semester 2021-2022 15 July (Thursday)
Result of Ph.D admission process will be declared 28th July (Wednesday)
Reporting and joining date 16th August (Monday)

*The dates may change based on the Corona pandemic situation

Eligibility Criteria

Master's degree in engineering in relevant field with 60 % marks or equivalent CPI/CGPA.


Bachelor's degree in engineering in relevant field (typically 4-year Programme) with a minimum of 90 % marks or equivalent CPI/CGPA and a valid GATE score of 99 percentile or above in the relevant area of application (e.g. For Ph.D. in CSE, a B.Tech(CSE) with indicated percentage or CPI/CGPA and a valid GATE score in Computer Science and Information Technology(CS) ).

The students awaiting their qualifying examination results are also eligible to apply. They need to submit the qualifying mark sheets and/or certificates at the time of admission.

Please note that the qualifying degree of applicant should be from an accredited university /deemed-to-be-university or an institution of higher learning of comparable standing. The eligibility criteria given above are the absolute minimum. Institute may prescribe any requirements over and above these. In case the candidates are awarded grades/CPI/CGPA instead of marks, applicant would have to produce the grade-percentage conversion criterion or formula provided by the university/institution from where the applicant has obtained the degree. In case, where, a university/institute does not provide any scheme for converting CPI/CGPA into equivalent marks, UGC and AICTE guidelines would be applicable.

Admission Procedure

Admission to the Ph.D. Programme is offered to eligible candidates on the basis of an entrance examination and an interview. Consequently, all applicants who qualify in the written examination have to appear for the personal interview on the same day or very next day. Candidates who have qualified for national level fellowships like CSIR/UGC-NET-JRF, DST-INSPIRE, NBHM Ph.D. scholarship or equivalent valid fellowship in the relevant subject/discipline may be exempted from the written examination but not from the interview. No request for remote interviews would be entertained.

Syllabus for Ph.D. Entrance Exam

The entrance examination shall contain both objective and subjective type of questions. The syllabus for the written entrance examination shall consist of 50% of research aptitude/methodology and 50% shall be subject-specific. Research aptitude/methodology part shall be of generic nature, intended to assess the research aptitude of the candidate. This part primarily shall contain questions to test research aptitude, reasoning ability, graphical analysis, analytical and numerical ability, data interpretation, quantitative aptitude of the candidate. The subject specific syllabus is as follows:

  1. Digital Design:Number Systems & Codes, Boolean Algebra and Minimization Techniques, Digital CMOS Logic, Combinatorial Circuits & Systems, Sequential Circuits & Systems, Finite State Machines.
  2. Analog Electronics:Circuit Theorems and KCL/KVL, Op-amp, RC, RLC Circuits, Physics of transistors, Characteristics and biasing of BJT, Small signal (incremental) equivalent circuits, CE, CB and CC amplifiers, Difference Amplifier Design, Oscillators and Filters: Bode plots, Clipping, Clamping and other Non-Linear Op-Amp applications, Power supplies, DAC: Principles and Circuits, ADC: Principles and Circuits.
  3. Signals and Systems:Linear Time-Invariant (LTI) systems: Discrete and Continuous, Fourier representation of periodic signals, Fourier Transform of aperiodic signals, Laplace and z-transform, Linear Feedback Systems.
  4. Digital Signal Processing:Transform analysis of LTI systems, Structures for Discrete Time systems, FIR Filter Design Techniques, FFT, Multi-rate Digital Signal Processing, Adaptive Signal Processing, Stochastic signals, Wiener Filtering, LMS and RMS algorithms, Spectral Estimation.
  5. Basic Analog and Digital Communication:Bandwidth of AM/SSB/FM analog signals, SNR of FM system, DM/ADM/PCM, signal-to-quantization noise ratio., PSK/DPSK/QAM /OFDM systems, BER and Q-function, Error Correcting Codes: Block codes and convolutional codes
  6. Probability and Matrices Algebra:Random variables, Distributions, Mean and variance, Conditional probability, Bayes’ theorem, Correlation, Covariance, Central limit theorem, Matrix multiplication, Gaussian elimination, Determinant, Inverse of matrix, Eigenvalues and Eigenvectors, Matrix diagonalization


  1. Students may avail financial assistantship from external funding agencies (such as UGC/CSIR/NBHM/DST/DAE etc.) as well as from industries.
  2. Financial assistance is available from the Institute to the meritorious students in the form of teaching and research assistantship as per Institute norms, for those candidates who may not have any external fellowship.
  3. Partial financial support is available to the meritorious students to attend the workshops, short term courses and for paper presentation in refereed quality conferences as per Institute norms.
Eligibility Fellowship: Research and/or Teaching assistantship
Registered students in Ph.D. Program in Engineering Departments with the qualification of M.Tech. in previous degree (if not receiving external fellowship or support via funded project) Rs. 27,500/- per month for initial two years and Rs. 30,800/- per month for next three years subject to satisfactory progress
Registered students in Ph.D. Program in Engineering Departments with the qualification of B.Tech. in previous degree Rs. 23,850/- per month for initial two years and 27,300/- per month for next three years subject to satisfactory progress


(a) Students are encouraged to avail financial assistantship from external funding agencies also (such as UGC/CSIR/NBHM/DST/DAE etc.) as well as from industries. They may have to be involved in Department as per rules.

Major Research Areas

  1. Communication & Signal Processing:Wireless Communication/ Deep Learning assisted Wireless Communication, Optical Wireless Communication (Free Space Optics, LiFi etc.).
  2. Speech, Audio, Image and Video processing, Photonics Communication, Control System, Neural Network, and Fuzzy Logic Control.
  3. Digital System Design using FPGAs, VLSI Implementations using Machine Learning Algorithms, Hardware Security, VLSI Testing, MEMS, Sensors.
  4. Antenna Design and Wireless Power Transfer for advanced applications, Linearization of RF Power Amplifiers.
  5. Ad-hoc Wireless Sensor Networks (WSN), Distributed Estimation and Target Tracking, Communication Protocols in IoT/ WSNs