The Department of Computer Science is committed to excellence in teaching, research, and innovation in emerging areas of computing. The department provides a strong academic and research environment for scholars pursuing doctoral studies in Computer Science. With experienced faculty members, modern computing facilities, and an active research culture, the department supports advanced research work. The Ph.D. programme in Computer Science is designed to promote original research, critical thinking, and scholarly contributions to address real-world challenges. The department encourages research publications, collaborative projects, participation in conferences, and industry-academia interaction to enhance the quality and impact of research.
Ph.D Computer Science
About The Department
Objectives
To promote advanced research in emerging areas of Computer Science and interdisciplinary domains.
To develop scholars with strong research aptitude, critical thinking, and innovative problem-solving skills.
To encourage original contributions to knowledge through quality research, publications, and technological innovations.
To provide a research environment that supports ethical practices, academic excellence, and collaborative learning.
To prepare researchers to address real-world challenges in areas such as Artificial Intelligence, Data Science, cybersecurity, and advanced computing.
To foster industry-academia interaction for research, consultancy, and technology development.
MISSION
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- To cultivate high-quality research scholars equipped with strong theoretical foundations and practical expertise in emerging areas of Computer Science.
- To promote interdisciplinary research and collaboration with academia, industry, and research organizations worldwide.
- To encourage innovation, critical thinking, and problem-solving skills that contribute to technological advancement and societal development.
- To uphold the highest standards of academic integrity, ethics, and professionalism in research.
- To create an inclusive and intellectually stimulating environment that supports lifelong learning and global competitiveness.
VISION
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Our Vision is to be a center of excellence in advanced research and innovation in Computer Science, fostering globally impactful knowledge, cutting-edge technologies, and ethical solutions that address real-world challenges.
To emerge as a globally recognized hub for pioneering research in frontier areas such as Artificial Intelligence, Data Science, Cybersecurity, and Quantum Computing.
To nurture socially responsible researchers who leverage technology for sustainable development and inclusive growth of society.
List of Ph. D Supervisors
| S. No | Name | Designation | R A COPY |
| 1. | Dr. N. VANJULAVALLI | DIRECTOR | VIEW |
| 2. | Dr. K. SUJITH | DEAN & HOD | VIEW |
| 3. | Dr. R. SURENDIRAN | ASSOCIATE PROFESSOR | VIEW |
List of Research Scholars
| S. No |
University Register No |
Candidate Name |
Supervisor |
Date of registration |
Title |
Mode of Study |
Status |
| 1. |
Ref.No.:47375/Ph.D./Computer Science/Part Time/January 2013 |
G. Vijaya Sree |
Dr.K.Sujith |
Intelligent Customer Relationship Management System Using Data Mining Techniques. |
PART TIME |
Awarded |
|
| 2. |
Ref.No.:BDU2110412779274 Date:06/07/2021 |
Mrs Syinthiya D |
Dr.K.Sujith |
An Intelligent framework for Stock Price Prediction Using Deep Learning Techniques |
FULL TIME |
Awarded |
|
| 3. |
Ref.No:66726/Ph.D.k10/Computer Science/Full-Time/July 2016 |
Dr C Arulananthan |
Dr.K.Sujith |
July 2016 |
Development of Collaborative AI-Driven Decision Support System for Health Domain. |
FULL TIME |
Awarded |
| 4. |
Ref.No:16727/Ph.D.k10/Computer Science/Full-Time/July 2016 |
Dr K Raja |
Dr.K.Sujith |
July 2016 |
Development of Dynamic Authentication and Access Control Strategies for Securing the Cloud Environment. |
FULL TIME |
Awarded |
| 5. |
Ref.No:39733/Ph.D.k10/Computer Science/Full-Time/Jan 2017 |
Mrs Aasha D |
Dr.K.Sujith |
January 2017 |
Development of an Integrated Data analytics AI-Augmented Ecosystem for enhanced prognostic modelling and treatment strategies in diabetic Retinopathy. |
FULL TIME |
Thesis Submitted |
| 6. | BDU2320412780550 | Vijayalakshmi | Dr.K.Sujith | PART TIME | |||
| 7. | UdhayaKumar | Dr.K.Sujith | FULL TIME | Paper work | |||
| 8. | BDU2410412780835 | Ms Ayshwarya P | Dr.K.Sujith | February 2024 | FULL TIME | Paper work | |
| 9. | BDU2520412781307 | Mrs Sivakamasundari G | Dr.K.Sujith | PART TIME | Course Work Completed | ||
| 10. |
BDU2310412780237 |
Mrs S Hemalatha |
Dr N Vanjulavalli |
An Intelligent Evolutionary Optimization Algorithm with Deep Learning for Intrusion Detection System. |
FULL TIME |
Awarded |
|
| 11. | BDU2210412780201 | Mrs V Seethala Devi | Dr N Vanjulavalli | December 2022 | FULL TIME | Thesis | |
| 12. | Mr V Mahesh | Dr N Vanjulavalli | PART TIME | Thesis | |||
| 13. | BDU2420412780671 | Mrs Rama J | Dr N Vanjulavalli | February 2024 | FULL TIME | Paper Work | |
| 14. | Ms Abinaya R | Dr N Vanjulavalli | Registration Applied | FULL TIME | Application Documents Submitted. | ||
| 15. | Mrs Santhi S | Dr N Vanjulavalli | Registration Applied | PART TIME | Application Documents Submitted. | ||
| 16. | Mrs Lalli S | Dr N Vanjulavalli | Registration Applied | PART TIME | Application Documents Submitted. | ||
| 17. | BDU2410412780758 | Mrs K Priya | Dr R Surendiran | FULL TIME | |||
| 18. | Ms.A.Arputha Sahaya Rani | Dr R Surendiran | FULL TIME | Paper Work | |||
| 19. | BDU2420412780631 | Mrs Subha S | Dr R Surendiran | PART TIME | |||
| 20. | Sunil Kumar | Dr R Surendiran | PART TIME |
Publication Details:
| S.No | Name of the Candidate | Title of the Paper | Authors Name | Journal Name | Published Year | View Paper |
| 1. | G. Vijayasree | Support For Telecommunication Alarming System Through Ticket Trouble Prediction |
K. Sujith, G. Vijayasree |
湖南大学学报 (自然科学版) |
2021 | |
| 2. | G. Vijayasree | Fast Food Industry in India Deals Customer Satisfaction is Affecting by the Factors of Customer Relationship Management |
K. Sujith, G. Vijayasree |
Design Engineering | 2021 | |
| 3. | G. Vijayasree | Affecting Factors Of Customer Relationship Management In Indian Fast-Food Industry |
K. Sujith, G. Vijayasree |
Webology (ISSN: 1735-188X) |
2021 | |
| 4. | D. Syinthiya | A Business Intelligence Expert System for Predicting Market Price in Stock Trading using Data Analysis: Deep Learning Model With Feature Selection Mechanism |
K. Sujith, D. Syinthiya |
International Journal on Recent and Innovation Trends in Computing and Communication | 2023 | |
| 5. | D. Syinthiya | An Optimal Deep Learning Model With Effective Feature Learning Mechanism For Stock Market Prediction |
K. Sujith, D. Syinthiya |
International Journal on Recent and Innovation Trends in Computing and Communication | 2023 | |
| 6. | C. Arulananthan | Predicting Home Health Care Services Using A Novel Feature Selection Method |
K. Sujith, C. Arulananthan |
International Journal on Recent and Innovation Trends in Computing and Communication | 2023 | |
| 7. | C. Arulananthan | Patient Health Care Opinion Systems using Ensemble Learning |
K. Sujith, C. Arulananthan |
International Journal on Recent and Innovation Trends in Computing and Communication | 2023 | |
| 8. | K. Raja | The Evolution of Access Control in Cloud Security: A Survey of Key Literature | K. Sujith, K. Raja | International Journal on Recent and Innovation Trends in Computing and Communication | 2023 | |
| 9. | K. Raja | Securing Cloud Data: An Enhanced Approach through Attribute-Based Access Control Mechanism | K. Sujith, K. Raja | International Journal on Recent and Innovation Trends in Computing and Communication | 2023 | |
| 10. | D Aasha | Healthcare Dataset Extraction to Preserve in Privacy Mode with High Utility | D Aasha, K Sujith, N Vanjulavalli, R Surendiran | Indian journal of natural sciences (ijons) | 2025 | |
| 11. | D Aasha | Development of Reinforcement Learning Models to Optimize Treatment Plans and Drug Dosages for Patients | D Aasha, K Sujith, R Surendiran, N Vanjulavalli | Indian journal of natural sciences (ijons) | 2025 | |
| 12. | D Aasha | Big Data in Healthcare: Catalyzing Innovation in Personalized Medicine and Predictive Analytics | D Aasha, K Sujith | AIJR Proceedings | 2024 | |
| 13. |
N Vijayalakshmi
|
Advanced Machine Learning Techniques for Intrusion Detection System Development |
N Vijayalakshmi, K Sujith |
AIJR Proceedings | 2024 | |
| 14. | N. Vijayalakshmi | Enhancing Intrusion Detection Systems through Optimization Algorithm based Machine Learning Techniques | N. Vijayalakshmi, K. Sujith, N. Vanjulavalli, R. Surendiran | Indian journal of natural sciences (ijons) | 2025 | |
| 15. | N Vijayalakshmi | Machine Learning-based Approaches to Strengthening Network Intrusion Detection Systems |
N Vijayalakshmi, K Sujith, N Vanjulavalli, R Surendiran |
Indian journal of natural sciences (ijons) | 2025 | |
| 16. |
P Ayshwarya
|
Advances in Quantum Federated Learning for Medical Diagnosis |
P Ayshwarya, K Sujith, R Surendiran, N Vanjulavalli |
International Journal on Recent and Innovation Trends in Computing and Communication | 2026 | |
| 17. |
P Ayshwarya
|
Design and Implementation of A Quantum-Enhanced Federated Medical Expert System using Hybrid Intelligence | P Ayshwarya, K Sujith, N Vanjulavalli, R Surendiran | International Journal on Recent and Innovation Trends in Computing and Communication | 2026 | |
| 18. |
P Ayshwarya
|
Quantum–Driven Insights: A Medical Expert System for Insomnia Prediction Secured by Quantum Cryptography |
P Ayshwarya, K Sujith |
AIJR Proceedings |
2024 |
|
| 19. | S Hemalatha | Chaotic-based optimization, based feature selection with shallow neural network technique for effective identification of intrusion detection |
K Sujith, S Hemalatha, N Vanjulavalli, R Surendiran |
The Scientific Temper |
2024 |
|
| 20. |
S Hemalatha
|
Effective gorilla troops optimization-based hierarchical clustering with HOP field neural network for intrusion detection |
K Sujith, S Hemalatha, N Vanjulavalli, R Surendiran |
The Scientific Temper |
2024 |
|
| 21. | V Seethala Devi | An Enhanced Data Classification Model Performance with A Hyper parameter-Tuned Deep Learning Algorithm |
VS Devi, N Vanjulavalli, K Sujith |
Indian journal of natural sciences (ijons) |
2024 |
|
| 22 | V Seethala Devi | A metaheuristic optimisation algorithm-based optimal feature subset strategy that enhances the machine learning algorithm’s classifier performance |
VS Devi, N Vanjulavalli, K Sujith |
Indian journal of natural sciences (ijons) |
2024 |
|
| 23. | V Mahesh | A New Deer Hunting Optimization Algorithm (DHOA) Ensemble Deep Learning Model for Human Activity Recognition and Classification |
V Mahesh, N Vanjulavalli, R Surendiran, K Sujith |
Indian journal of natural sciences (ijons) |
2024 |
|
| 24. |
K Priya |
An Analytical Study on Predictive Artificial Intelligence Models |
K Priya, R Surendiran, K Sujith, N Vanjulavalli |
Indian journal of natural sciences (ijons) |
2025 |
|
| 25. |
K Priya |
Towards Zero Waste: Business Opportunities and Growth of Cleaner Cities – A Survey of Policies and Models under Practice in Developed Countries |
K Priya, R Surendiran, K Sujith, N Vanjulavalli |
Indian journal of natural sciences (ijons) |
2025 |
|
| 26. | Ms .A. Arputha Sahaya Rani | Development of A Secure Mobile Sensing App For Mental Health Analysis Leveraging Federated Learning |
AAS Rani, R Surendiran, N Vanjulavalli, K Sujith |
Indian journal of natural sciences (ijons) |
2026 |