Admissions

Programs

PhD Admissions

Shiv Nadar University Chennai aims to attract the most creative and talented minds from a diverse range of backgrounds and experiences, with a keen interest to pursue excellence in interdisciplinary research. The University provides exciting opportunities to obtain a Ph.D. degree in the following modes:

The candidates in the following categories may apply for the full time residential Ph.D. program based on the eligibility criteria:
  • Those who have cleared the eligibility criteria and directly applying for Ph.D.
  • Those are in employment, who want to pursue full-time study, should be sponsored by their employer, and should avail leave for the minimum duration of the program as prescribed by the research regulations and should get formally relieved from their duty to join the research program.
  • Those who are sponsored by AICTE under Quality Improvement program for teachers at other colleges and who satisfy the eligibility conditions, specializations as notified in the AICTE guidelines and is offered by the University.
  • Those who are selected at national-level fellowship programs or by any recognized bodies.
  • Foreign-nationals sponsored by the government of India or their respective government on any exchange programs.
  • Candidates who work as full time teaching faculty of self-financing colleges, Government aided colleges or any other Government recognized educational institutions.
  • Candidates who work in Industrial Units/R&D Departments/National Laboratories/ Units of Government/Quasi-Government or any other research laboratories within India, that are recognized by the university to do research with the university and are sponsored by the respective employer.
  • School of Engineering is extending a warm invite to candidates who are Bachelor degree holders with a keen sense of scientific enquiry for pursuing advanced research in frontier areas of Computer Science and Engineering and interdisciplinary areas leading to a Direct Ph.D. This shall allow exceptionally talented students to save nearly a year compared to those who go for a two-year Masters degree program followed by a Ph.D. program.
  • The program encourages the student to gain more credits in key course works of interest.
The candidates in the following categories may apply for the full time residential Ph.D. program based on the eligibility criteria:
  • Those who have cleared the eligibility criteria and directly applying for Ph.D.
  • Those are in employment, who want to pursue full-time study, should be sponsored by their employer, and should avail leave for the minimum duration of the program as prescribed by the research regulations and should get formally relieved from their duty to join the research program.
  • Those who are sponsored by AICTE under Quality Improvement program for teachers at other colleges and who satisfy the eligibility conditions, specializations as notified in the AICTE guidelines and is offered by the University.
  • Those who are selected at national-level fellowship programs or by any recognized bodies.
  • Foreign-nationals sponsored by the government of India or their respective government on any exchange programs.
  1. Candidates who work as full time teaching faculty of self-financing colleges, Government aided colleges or any other Government recognized educational institutions.
  2. Candidates who work in Industrial Units/R&D Departments/National Laboratories/ Units of Government/Quasi-Government or any other research laboratories within India, that are recognized by the university to do research with the university and are sponsored by the respective employer.
  • School of Engineering is extending a warm invite to candidates who are Bachelor degree holders with a keen sense of scientific enquiry for pursuing advanced research in frontier areas of Computer Science and Engineering and interdisciplinary areas leading to a Direct Ph.D. This shall allow exceptionally talented students to save nearly a year compared to those who go for a two-year Masters degree program followed by a Ph.D. program.
  • The program encourages the student to gain more credits in key course works of interest.

Areas of Specializations

Computer Science & Engineering

  • Accelerated Computing for Radiogenomics
  • Artificial Intelligence and Machine Learning
  • Bias & Privacy in the web
  • Clinical database
  • Cloud and Distributed systems
  • Cloud Computing and Edge Computing
  • Cognitive Neuroscience
  • Cognitive Reinforcement Models
  • Compiler design and natural language processing
  • Computational Intelligence
  • Computer Vision
  • Cyber Physical Systems
  • Cyber security
  • Data Science
  • Design and analysis of algorithms
  • Digital System Design
  • Disorder studies
  • Dynamically Reconfigurable Architectures for Cognitive Computing
  • Data analytics
  • Fibreoptics and Silicon Photonics
  • Graph theory and its applications
  • High-Performance Computing
  • Image processing
  • Internet of Things
  • Internet of things and Block Chain Technology
  • IP lookup algorithms and packet classifications
  • Machine Learning & Deep Learning Techniques
  • Medical Image Processing
  • Networks
  • Network Intrusion Detection Systems (NIDS)
  • Optimization Methodologies
  • Software Defined Networking
  • Sound Computing
  • Speech Signal Processing
  • Speech technology
  • Social network analysis
  • Theoretical Computer Science
  • Video processing
  • Wireless sensor networks

Civil Engineering

  • FRP Concrete composites
  • Steel-concrete composites
  • Cold-formed Steel
  • Monitoring and retrofitting of structure

Environmental Science & Engineering

  • Water & wastewater treatment and management
  • Solid Waste Management and Resource Recovery
  • Nature based solutions for sustainability
  • Sustainability assessment – Life cycle assessment
The key areas of research under the School of Commerce and Management are listed below:
  • Behavioural Finance
  • Corporate Governance
  • Corporate Social Responsibility
  • Embedded Banking
  • Environmental Compliances
  • Financial data analytics
  • Financial Inclusion
  • Financial Markets
  • Investment Management
  • Sustainable and Green Finance

The key areas of research under the School of Science & Humanities, are listed below:

Economics

  • Economic Development and Regulatory Policy
  • Urban Economics
  • Financial Sector and Real Sector Economy Interlinkage
  • Macroeconomic Theory and Policy
  • Trade Analytics
  • International Macroeconomics and Finance
  • Applied Econometrics
  • Development Economics
  • Dyslexia
  • Poverty and Inequality
  • Financial Economics
  • Rural Finance
  • Economic Development Strategies
  • Open Economy, Macroeconomic Theory and Policy Practice
  • Public Finance and Fiscal Policy
  • International Macroeconomics
  • Poverty and Inequality
  • Labor Economics
  • Environmental Economics
  • Health Economics
  • Economics of Education

Physics

  • Acoustic metamaterials
  • Crystal Growth
  • Electronic Materials
  • Fiber optics and MEMS
  • Fluorescence
  • Spectroscopy
  • Light Emitting Diodes
  • Materials Science
  • Piezoelectric Ceramics and
  • Sensors
  • Quantum Dots
  • Sensors and Silicon Photonics
  • Sensors for energy and the environment
  • Wearable Technologies and Intelligent Embedded Systems

Mathematics

  • Graph Theory
  • Graph Theory and its Applications
  • Fuzzy Theory and Applications
  • Fuzzy Graph Theory
  • Reliability
  • Stability Analysis of Dynamical Systems
  • Chaos Synchronization

English

  • Language policy, promotion of linguistic diversity, and preservation of endangered languages
  • Postcolonial and other literatures
  • Teacher education and continuing professional education
  • Technology in language education
  • Reading literary texts using different criticism techniques
  • Materials, Methods and Assessment in Language Education
  • Figurative Language, Embodied Cognition, Polysemy, Categorization
  • Language and Spatial Cognition
  • Perception, Emotion, and Language
  • Language and Identity Politics
  • Honorification and Politeness-Impoliteness
 

List of Supervisors / Faculty / Specialization

Name of FacultyArea of Expertise
Biomedical Engineering
Dr. S. Pravin Kumar
Associate Professor
Computer vision and deep learning for healthcare
Sports and clinical biomechanics
rehabilitation robotics
Biomedical signal and image processing
Dr. R. Subashini
Associate Professor
Biotechnology and molecular biology
Biochemistry and microbiology
Phytochemistry and Bionanotechnology
Dr. Divya B
Assistant Professor
Cognitive Neuroscience
Artificial Intelligence in healthcare
Biomedical Instrumentation and Wearable Health Technologies
Chemical Engineering
Dr. K. Sathish Kumar
Professor
Waste and Biomass Valorization
Synthesis of Biopolymers
Nanomaterials for drug delivery
Dr. Ambedkar Balraj
Associate Professor
Post Combustion CO2 Capture
Electro and Photo catalytic CO2 Conversion
H2 Research and Catalysis
Dr. B. Senthil Rathi
Assistant Professor
AI/ML in Water and Wastewater Treatment
Advanced Materials Synthesis and Biomass Valorization
Hydrogen Energy, Alternative Fuels, and CO₂ Capture
Civil Engineering
Prof. S. K. Bhattacharyya
Founding Vice Chancellor
Fluid-Structure Interactions
Structural Health Monitoring
Computational Techniques
Sustainable Materials
Computer Science and Engineering
Dr. Nagarajan T
Professor
Speech Signal Processing
Text-to-Speech Synthesis
Automatic Speech Recognition
Dr. Jiji. C.V
Professor
Computer Vision
Image Processing
Dr. Chandrakala S
Professor
Deep Learning applied to Speech
Sound Technology and Computer Vision
Generative AI
Dr. Sakthi Balan M
Professor
Web Science and Data Analytics
Information Diffusion in the Social Networks
Bias & Privacy in the Web
Dr. Santhi Natarajan
Associate Professor
Design and development of domain-specific hardware accelerators
Massively parallel multi-core coarse and fine-grained reconfigurable platforms
Multimodel Analytical & Radiogenomics
Dr. Vidhusha S
Associate Professor
Cognitive Neuroscience
Disorder Studies
Virtual Reality
Augmented Reality
Dr. Sundharakumar K. B
Associate Professor
Deep Learning
Cognitive Reinforcement Learning
Virtual Reality & Augmented Reality
Dr. S. Veeramani
Associate Professor
Computer Networks
Machine Learning
Wireless Sensor Networks
Dr. Thenmozhi D
Associate Professor
Natural Language Processing
Data Science
Artificial Intelligence and Deep Learning
Dr. Anushiya Rachel G
Assistant Professor
Speech Technology – Speech signal processing
Text-to-speech synthesis
Automatic speech recognition &
Machine Learning
Dr. U. Padmavathi
Assistant Professor
Blockchain
Cyber Security
Federated Learning
Dr. Surya K
Assistant Professor
Cloud computing
Edge computing
Dr. Vegesna S M Srinivasavarma
Assistant Professor
Packet Classification
Network Intrusion Detection Systems
Dark Web Analysis
Dr. M. Amsaprabhaa
Assistant Professor
Medical Image Processing
computer vision
Deep Learning
Dr. VA Kandappan
Assistant Professor
High-Performance Computing
Soft Computing techniques
Scientific Machine Learning
Dr. Rourab Paul
Assistant Professor
FPGA Based Embedded System
Post Quantum Cryptography
Blockchain & Internet of Things
Dr. Nimisha Ghosh
Assistant Professor
Computational Biology/Bioinformatics
Large Language Models
Deep Learning
Dr. Debajyoti Biswas
Assistant Professor
Semiconductor devices
Machine Learning
Quantum computing
Dr. KB Badrinarayanan
Assistant Professor
Machine vision & Sensor Fusion
Autonomous robot navigation & Path Planning
Digital Twins & Simulation
Dr. Rudrashis Majumdar
Assistant Professor
Autonomous Vehicles & Robot Navigation
Control Systems & Optimization
Game Theory & Mechanism Design
Dr. Poulomi Chakrabarty
Assistant Professor
Sensors for edge AI
Computing for edge AI
Nanoelectronic and Photonics Devices for Quantum Communication
Dr. S. Rajalakshmi
Assistant Professor
Deep learning & Big data analytics
NLP & Image processing
Quantum machine learning
Dr. Poreddy Ajay Kumar Reddy
Assistant Professor
Multimedia Quality Assessment
Image and Video Quality Assessment
Perceptual Image Processing
Machine Learning
Deep Learning
Computer Vision
Image and Video Processing
Biomedical Image and Video Analysis
Medical Image Processing
AI-Based Healthcare Applications
Dr. Sakali Raghavendra Kumar
Assistant Professor
Fault-Tolerant Arithmetic Circuits
Approximate Arithmetic Circuits and Energy-Efficient Computing
FPGA-Based Machine Learning Hardware Accelerators
Electrical and Electronics Engineering
Dr. R. Ramaprabha
Professor
Solar PV Systems Power Conversion Technologies for Renewable Energy Systems (RES)
EV Technologies
Dr. R. Rengaraj
Professor
Smart Grid
AI/ML in Power Systems
Electric Vehicle
Dr. V. Thiyagarajan
Associate Professor
Power Electronic Converters
Renewable Energy Systems
Electric Vehicles & IoT in Electrical Engineering
Dr. S. Tamil Selvi
Associate Professor
Power Systems
Electrical Machine Design optimization
Battery modeling
Dr. V. S. Nagarajan
Associate Professor
Design and Optimization of Electrical Machines
Design of Electric Drives for Industrial Applications
Multiphysics Design and Integration of Electric Vehicle Traction Systems
Electronics and Communication Engineering
Dr. R. Amutha
Professor
Deep learning
Image Processing security-encryption
Hardware Security (VLSI) for IoT
Dr. K. J. Jegadish Kumar
Associate Professor
Hardware Security IP Core Design
VLSI Signal and Image Processing
RF and Antenna Engineering for 5G, 6G IoT applications
AI and ML based Hardware Accelerators
Dr. R. Hemalatha
Associate Professor
Internet of Things (IoT) and Edge AI
Image Processing and Machine Learning
Precision Agriculture Systems
Dr. P. Kaythry
Associate Professor
Next Generation Communication (5G.6G & NTN)
Secure and Reliable IoT/ IoV Systems
AI/ML for Wireless Communication
Dr. S. Aasha Nandhini
Assistant Professor
Internet of Things and Edge Computing
Applied Artificial Intelligence
Network and Multimedia Security
Environmental Science & Engineering
Dr.Uthradevi K
Assistant Professor
Functional nano-materials for water purification
Solid waste management
Sustainable building materials
Dr. Angel Jessieleeena A
Assistant Professor
Smart water/wastewater monitoring and prediction
Life cycle assessment
Smart solid waste management
Information Technology
Dr. K. S. Gayathri
Associate Professor
Multimodal Deep Learning
Agentic AI and Large Language Models (LLMs)
Knowledge Engineering and Intelligent Systems
Dr. N. Sripriya
Associate Professor
NLP
ML & DL
Speech Processing
Dr. R. Swathika
Associate Professor
Image processing
Computer Vision
AI & Deep learning
Dr. E. Suganya
Assistant Professor
AI-driven next-generation (6G) networks
Artificial Intelligence and Machine Learning for Healthcare
Immersive Technologies (AR/VR/XR)
Dr. Durgadevi V
Assistant Professor
Machine Learning and Deep Learning Algorithms
Computational Intelligence and Data Analytics for Renewable Energy and Power Systems Security in IoT
Edge Computing and Wireless Networks
Dr. Sree Hari VeeramachaneniCore Technical Domains:
Computer Architecture
Computer Vision & Image Processing
Edge Computing
Approximate Computing
Hardware Security
In-Memory Computing
Posit Arithmetic

Applied AI Focus:
Healthcare
Agriculture
Building Science
Forensic Science
Intelligent Autonomous Systems

Extended Reality (XR) Security:
Augmented Reality/Virtual Reality (AR/VR) and Cybersecurity
Mechanical Engineering
Dr. S.R. Koteswara Rao
Professor
Welding
Additive Manufacturing
Materials testing and Characterization
Dr. S. Suresh Kumar
Associate Professor
Fatigue and Fracture Mechanics
Ballistic Impact Analysis
Under water shock analysis of marine structures
Dr. S. A. Srinivasan
Assistant Professor
Nanofluids and heat transfer
Energy and high-temperature materials synthesis
Computational fluid dynamics
Sl NoName of FacultyArea of Expertise
1Dr. Arindam Banerjee
Associate Professor, Commerce
Corporate Finance,
Behavioral Finance,
Financial Investments and Data Analytics
2Dr. M.S. Devi
Associate Professor, Commerce
Mergers & Acquisitions,
Sustainable Finance,
Corporate Finance.
3Prof. Rajesh Kumar
Commerce
Management,
Finance,
Sustainability .
4Prof. Vijayabanu C
Commerce
Management (Behavioural studies),
Consumer behaviour,
Human Resource Management and Organisational Behaviour.
Name of FacultyArea of Expertise
Chemistry
Dr. Murugesan Arukkani
Assistant Professor
High-performance polymer
Depolymerization of plastic waste
Energy conversion and storage device
Economics
Dr. Pushpa Trivedi
Professor
Open-economy
Macroeconomics
Indian Economy
Environmental Economics
Dr. Chaitanya Talreja
Assistant Professor
Development Economics
Urban Economics
Economics for Regulation
Dr. Pleasa Serin Abraham
Assistant Professor
Environmental Economics
Sustainability Studies
Development Economics
English
Dr. Cherry Matthew Phillipose
Associate Professor
English Language Education
Teacher Development
Educational Technology
Dr. D. Praveen Sam
Associate Professor
English Language Teaching (ELT)
Literary Theory
Asynchronous e-learning
DEI (Diversity Equity and Inclusion)
Dr. Divya John
Associate Professor
English Language Teaching (ELT)
Technology / Computer Assisted Language Learning (T/CALL)
English for Specific Purposes (ESP)
Dr. Tanima Bagchi
Assistant Professor
Cognitive Linguistics
Sociolinguistics
Pragmatics
Dr. Nibeditha Bandyopadhyay
Assistant Professor
Postcolonial Ecocriticism
Feminist and Global Environmental Literature
Film Studies
Medical Humanities
Mathematics
Dr. P. Venugopal
Professor
Graph Theory and applications
Dr. R. Sujatha
Professor
Fuzzy theory and its applications, Reliability
Dr. V. Vembarasan
Associate Professor
Stability Analysis of Time-Delay System
Chaos Synchronization
Control Systems
Dr. K. Deepa
Assistant Professor
Computational Fluid Dynamics
Rhealogy of Non-Newtonian Fluids
Boundary Layer Theory
Dr Arusha C
Assistant Professor
Algebraic Geometry
Commutative Algebra
Coding Theory
Dr. S. Sampath Kumar
Assistant Professor
Graph Theory & Its Applications
Dr. S. Yugesh
Assistant Professor
Approximation Theory
Sampling Theory
Wavelet Methods
Physics
Dr. Prita Nair
Professor
Fiberoptics,
Silicon Photonics,
Metamaterials / Sensors,
Si-EO hybrids, Biosensors.
Dr. N.P. Rajesh
Professor
Materials Informatics
Crystal Growth and characterisation
Scalable Functional materials for photonic and sensing applications
Dr. Sudipta Som
Associate Professor
Spectroscopy of Optoelectronic Materials
Quantum Dots and Functional Materials
Energy Storage Materials and Devices
Dr. P. Rajesh
Associate Professor
Scintillators
Crystal Growth
Supercapacitors
Dr. P. Nagapandiselvi
Assistant Professor
Photocatalysis
Water Splitting
Supercapacitors
Dr. G. Anandha babu
Assistant Professor
Piezoelectric Materials
Energy Storage devices
Defect Engineering
  • Full-time Ph.D. scholars admitted to the program shall receive a stipend of INR 20000 per month, with free shared accommodation in the campus. The stipend is subject to the satisfactory performance in the program, which shall be evaluated continuously, in compliance with the University research regulations.
  • Full-time Ph.D. scholars admitted to the program shall receive a contingency amount of Rs 25000 per annum for research activities.
  • Married scholars shall be provided with campus accommodation on a nominal rent.
  • Tangible outputs are expected from the works of the research scholars. Leaving the program without completion may attract penalization.
  • SNU Chennai shall not provide stipend/assistantship to part-time scholars.

 

Fellowship Details          Amount
Fellowship Amount          Rs. 20,000 per                                                              month
Contingency Amount     Rs. 25,000 per year
Tuition and other statutory fees are to be paid by the scholars, as intimated by the university from time to time.
 
Fee DetailsAmount to be paid
Application FeeRs. 1,500 (non refundable)
Tuition Fee(to be paid by the scholars)Indian Scholars

NRI Scholars

Foreign Nationals / OCI
Rs. 12,000 per semester

Rs. 30,000 per semester

Rs. 50,000 per semester
Caution Deposit (refundable)Rs. 10,000/-
Admission Fee(one time non-refundable)Rs. 5,000/-
For all the research programs, it is mandatory that the candidate should have studied in regular, full time and formal education in their previous degree programs (UG and PG).
 
SSN SCHOOL OF ENGINEERINGSCHOOL OF COMMERCE AND MANAGEMENTSCHOOL OF SCIENCE AND HUMANITIES
PhD in Engineering

Minimum 60% aggregate marks in 10th,
12th, and Undergraduate (UG) degree.

Master’s degree in Engineering / Technology or
M.S. (by Research) in a relevant discipline,
with a minimum of 60% aggregate marks
or a CGPA of 6.5 on a 10-point scale..
PhD in Commerce

Minimum 60% aggregate marks in 10th,
12th, and Undergraduate (UG) degree.

Master’s degree in a relevant discipline
with a minimum of 60% aggregate marks or
a CGPA of 6.5 on a 10-point scale
(or) B.Com. combined
with a qualified CA / CMA certification.
PhD. in Physics / English / Maths / Economics / Chemistry

Minimum 60% aggregate marks in 10th,
12th, and Undergraduate (UG) degree.

Master’s degree in a relevant discipline
with a minimum of 60% aggregate marks or
a CGPA of 6.5 on a 10-point scale.
Direct Ph.D. In Engineering:
The applicants should have completed their
UG programme in Engineering /
Technology in the relevant discipline within 5 years
of application with a minimum of 8.5 CGPA
and no history of arrears.
Non-refundable* application fees of Rs. 1500 (One Thousand Five Hundred Only), shall be paid through on-line portal.
*Note that the University reserves the right to accept or reject any application based on its departmental screening criteria, hence all applications may not be shortlisted for written examination and/or interview. No requests for refund of the application fee shall be entertained under any circumstances.
Important Dates
 
SL. NoDetailsDate
1Application opening dateThursday, 01st October 2026
2Last date of applicationMonday, 30th November 2026
3Written test & InterviewThursday, 03rd December 2026
4Notification of shortlisted candidateFriday, 18th December 2026
5Commencement of PhD ProgramWednesday, 06th January 2027
  • Before you apply to the research program, confirm whether you fulfil all the eligibility criteria as mentioned in the research admission portal.
  • In order to register your application, create a new account, fill in the necessary fields and upload the relevant documents.
  • Pay the requisite application fee to complete the process.
  • Application once submitted cannot be withdrawn or deleted.
  • All the communication(s) [such as issuance of Test/Interview Call letters, Offer of Admission letters, etc.] will be made only through Email to the shortlisted/selected candidates. Therefore, the candidates are advised to provide the correct Email ID while creating a new account and regularly check their email for any updates with respect to their application for admission to the Research program(s) of this institute

Selection shall be based on the performance in the University’s Entrance Examination score, PG Degree marks, Research proposal and Interview. Candidates, who fulfill the eligibility criteria prescribed, will have to appear for an Entrance Examination 2022, a Computer Based Test for 2 hours.

The shortlisted candidates need to appear for personal interview. The selected candidates for admission will be intimated within the stipulated date.

PhD Admissions