The LNM Institute of Information Technology

Doctoral Admissions - Department of CSE

Important Dates

Portal opening date01-03-2024
Portal Closing date30-06-2024
Date of Dispatch of Call letter08-07-2024
Date of Examination18/19-07-2024
Date of Declaration of Result25-07-2024
Reporting & Joining date / verification of the documents01-08-2024

Eligibility Criteria Regular full-time PhD

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


B.Tech. / B.E. in CSE/ ECE/ CCE/ IT or any other relevant discipline with minimum 70% marks or equivalent CPI/CGPA and GATE qualified in relevant discipline.


MCA or M.Sc. in CS/ OR/ Statistics/ Maths or any other relevant discipline with minimum 60% marks or equivalent CPI/CGPA and GATE qualified in relevant discipline.


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.

Eligibility Criteria - Part time PhD

The minimum qualification for these candidates is the same as for full-time candidates except experience requirement.
Experience required for admission to part-time Ph.D. Programmes (Engineering) is

  • M.E./M.Tech./M.S. (by Research) or equivalent: 01 Years
  • B.E./B.Tech. or equivalent: 03 Years

Note: 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).

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.


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.

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. Computer Programming:Fundamental Programming constructs, Decision and control statements, Arrays, Strings, Functions, Recursion, Dynamic memory allocation, Composite data types (Structures and Unions)
  2. Discrete Mathematical Structures:  Boolean algebra, Propositional and first order logic, Sets, Relations, Functions, Partial orders and lattices, Groups and Rings, Trees, Graphs (Connectivity, Matching, Coloring), Combinatorics (Counting, Recurrence relations, Generating functions)
  3. Data Structures: Time and Space complexity of algorithms, Asymptotic analysis, Big `O’ and other notations, Stacks, Queues, Linked lists (Singly, Doubly and Circular), Trees, Binary search trees, AVL tree, Heaps, Hashing and Graphs
  4. Algorithms:Complexity analysis, Searching, Sorting, Algorithm design techniques (Greedy, Dynamic Programming and Divide‐and‐conquer), Graph search, Minimum spanning tree, Shortest path
  5. Computer Organization and Architecture:Machine instructions and addressing modes. ALU, Data‐path and Control unit, Instruction pipelining, Memory hierarchy (Cache, Main memory and Secondary storage), I/O interface (Interrupt and DMA mode).
  6. Operating Systems:Processes, Threads, Inter‐process communication, Concurrency and Synchronization, Deadlock, CPU scheduling, Memory management and Virtual memory
  7. Database Management Systems:ER‐model, Relational model, Relational algebra, Tuple calculus, SQL, Integrity constraints, Normal forms, File organization, Indexing, Transactions and Concurrency control
  8. Computer Networks:OSI Reference Model and TCP/IP Network Architecture, Ethernet and WiFi, Access Control, Flow and Error control, Network devices, Switching, IPv4, IPv6, Routing algorithms, TCP/UDP and Sockets, Congestion control, Application layer protocols (DNS, SMTP, POP, FTP, HTTP)
  9. Theory of Computation:Regular expressions and finite automata, Context-free grammars and push-down automata, Regular and context-free languages, Turing machine and Undecidability


  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.
  4. The institute fellowship for full time Ph.D. candidates is as follows:
    • INR 31,000 per month for initial two years
    • INR 35,000 per month for the next three years
  5. Part time candidates are not eligible for the institute fellowship.


(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. Data ScienceMachine Learning, Data Analytics, Data Mining, Recommender Systems, Social Network Analysis,
  2. Computer Vision & Image Processing:Image and Video Processing, Deep learning, Document Analysis, Depth Estimation, Biomedical Signal Processing, Hyper-spectral Image Analysis, Medical Image Computing
  3. Internet-of-Things:Cyber Physical Systems, Ubiquitous Computing, Wearable Computing Systems, Ad-hoc Networks, Real-time Scheduling, Network Protocol Design
  4. Information & System Security:Blockchain Technology, Cloud Security, Mobile Security, Security & Privacy, Cryptology, Post-Quantum Cryptography, Web Application Security
  5. Software Engineering & Applications:Software Testing, Project Management, Software and Performance Engineering, Software Defect Prediction, Software Quality Assurance
  6. Artificial Intelligence: Intelligent Software Agents, Human-Computer Interaction, Cognitive Modeling, Autonomous Agent and Multi-agent Based Systems, Distributed Constraint Optimization, Transportation Scheduling.