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Doctoral Admissions - Department of CCE

Admission Portal

Fee Structure
Guidelines for International Students
Financial Support
Important Dates

Important Dates

TaskDates
Portal opening date24-03-2025
Portal Closing date30-06-2025
Date of Dispatch of Call letter03-07-2025
Date of Examination15/16-07-2025
Date of Declaration of Result22-07-2025
Last Date of Payment of Fee10-08-2025
Date of Reporting11-08-2025

There will be a round of interviews, for the candidates who applied for the Ph.D. admission (on or before 30 April 2025) and qualify for the direct interview as per the institute’s Ph.D. admission eligibility criteria, on 15th/16th May 2025.

Eligibility Criteria

M.Tech. / ME / MS (by research) in CCE/ CSE/ ECE/ IT or any other relevant discipline with a minimum 60% marks or equivalent CPI/CGPA

OR

MCA/M.Sc in CS / Electronics or any other relevant discipline with a minimum 60% marks or equivalent CPI/CGPA.

In addition to the above, candidates must satisfy at least one of the following criteria:

  • Qualified in a national-level examination such as GATE, UGC-NET, CSIR-NET, or an equivalent.
  • Have a minimum of five years of relevant industry/research/academic experience*.

OR

B.Tech. / B.E. in CSE/ ECE/ CCE/ IT or any other relevant discipline with a minimum 75% marks or equivalent CPI/CGPA.

In addition to the above, candidates must satisfy at least one of the following criteria:

  • Qualified in a national-level examination such as GATE, UGC-NET, CSIR-NET, or an equivalent.
  • Have a minimum of five years of relevant industry experience*.

*Note: The relevance of the experience will be assessed by the departmental committee.

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.

For Part-Time PhD program

  1. The minimum qualification for these candidates is the same as for full-time candidates except experience requirement.
  2. Experience required for admission to part-time Ph.D. Programmes (Engineering) is
Eligibility QualificationWork Experience (Post Qualification)
M.E./M.Tech. /M.S. (by Research) or equivalent1 Year
B.E./B.Tech. or equivalent3 Years
  1. The part-time candidates should submit, a No Objection Certificate (NOC) from the organization, in which s/he is employed, at the time of admissions giving an undertaking that s/he would be released from the normal duties to fulfill the course-work requirement (and qualifier examination, if applicable).

 

Note: The Institute reserves the right to decide the threshold scores obtained by the candidate in national-level examinations for admission to the Ph.D. Programme.

Admission Procedure

Admission to the Ph.D. Programme is offered to eligible candidates on the basis of a written test and an interview. Consequently, all applicants who qualify in the written examination need to appear for the personal interview on the same day or very next day.  Candidates who have qualified for national level fellowships like GATE (Qualified during last 5 year), CSIR/UGC-NET-JRF, JEST (with valid score), DST-INSPIRE, CEED, NBHM Ph.D. or other national level exam, in the relevant subject/discipline are exempted from the Institute’s written test. No request for remote interviews will be entertained.

 

Note: DST-Inspire candidates will have two choices:

Choice 1 (Default choice): To be exempted from the written test: In this case, if finally admitted, they will not be getting any Institute fellowship and their fellowship will be subject to acceptance and approval by DST, whenever it happens. Their admission will be with fellowship status as DST-Inspire Fellowship, from the beginning.

Choice 2: NOT to be exempted from the written test: In this case, if finally admitted, they will be under Institute fellowship category until they get DST-Inspire fellowship. If they get DST-Inspire fellowship, then their fellowship status will be changed from Institute Fellowship to DST-Inspire Fellowship.

Major Research Areas

  • Communication: Wireless and Quantum Communication
  • Signal and Image Processing: Image, Speech, and Healthcare.
  • Embedded System and Networks: Internet of Things, Real-Time System
  • Artificial Intelligence and Machine Learning: Deep Learning, Reinforcement Learning, Explainable AI

Fellowship

  • The institute fellowship is INR 50000/- per month for three years.
    (An extension of a maximum of 6 Months (twice, at most) based on valid reasons), leading to effectively 3+1=4 years maximum fellowship period.
  • Provisions for semester fee waivers for both full-time and part time candidates in recognition of outstanding publications, as per the institute norms.
  • Partial financial support is available to the meritorious students to attend the workshops, short term courses and for paper presentation at high quality refereed conferences as per the Institute norms.

Note:

Syllabus for Ph.D. Entrance Exam

The entrance examination shall contain both objective and subjective types 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
The research aptitude/methodology part shall be of generic nature, intended to assess the research aptitude of the candidate. This part shall primarily contain questions to test the candidate’s: research aptitude, reasoning ability, graphical analysis, analytical and numerical ability, data interpretation, and quantitative aptitude.

Subject-specific exam
The subject-specific exam shall consist of two sections:

Section A: (40% weightage) compulsory questions for all

  1. Linear Algebra, Probability and Statistics
  2. Computer Programming (C programming language) and Data Structures
  3. Boolean algebra, Combinatorial & Sequential Circuits.
  4. Computer Networks: TCP/IP Network Architecture.

Section B: (60% weightage) Candidates may choose from CSE or ECE-specific questions.

For ECE:

  • Network Theory: Circuit Theorems and KCL/KVL, RL, RC, and RLC circuits.
  • Signal and System: Types of signals, System Properties, LTI systems, Fourier representation, Fourier, Laplace, and z-transforms.
  • Signal Processing: Structures for Discrete-Time systems, FIR Filter Design Techniques, FFT, and Multi-rate Signal Processing.
  • Communication: ADC, DAC, Analog modulation schemes: AM/ FM/ PM, Digital modulation schemes: PCM, BPSK, ASK, FSK.

For CSE:

  • Algorithms: Complexity analysis, Searching, Sorting, Algorithm design techniques (Greedy, Dynamic Programming, and Divide‐and‐conquer), Graph algorithms.
  • Computer Organization and Architecture: Machine instructions and addressing modes, Instruction pipelining, Memory hierarchy.
  • Operating Systems: Inter‐process communication, Concurrency and Synchronization, CPU scheduling, and Memory management