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Ph.D in Computer Science
This program is for scholars exploring new frontiers in AI/ML, high-performance computing, cloud systems, and cybersecurity. Research emphasizes creating new knowledge to accelerate digital transformation and technological innovation.
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Career path
Eligibility
Program Snapshots
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Career path
Eligibility
Program Snapshots
Quick Links
FAQs
Engage in interdisciplinary research across emerging areas of study
Generative AI (Gen AI)
Image Processing
Internet of Things (IoT)
Network Security
Wireless Sensor Networks
Character Recognition
Cloud Security
Generative AI (Gen AI)
Image Processing
Internet of Things (IoT)
Network Security
Wireless Sensor Networks
Character Recognition
Cloud Security
12
Credits
156
No. of Scholars
33
No. of Supervisors
| S.No | Name of the Supervisor & Designation | Area of Interest & Specialization | Date of Joining |
|---|---|---|---|
| 1 | Prof .S. Ramachandram | Distributed Computing, Cloud Computing, Cyber Security | 03-06-2020 |
| 2 | Dr. V.Vijaya Kumar Professor | Computer Vision, Character recognition, NLP, Analytics, Machine Learning and Deep Learning, | 12-04-2013 |
| 3 | Dr. G. Vishnu Murthy Professor | Computer Vision, Security and Big Data Analytics | 01-09-2007 |
| 4 | Dr. V V S S Balaram Professor | Cyber Security, Machine learning, Text Mining | 23-09-2022 |
| 5 | Dr. Debajyothi Banik Professor | AI, Machine Learning, NLP, Deep Learning | 01-06-2006 |
| 6 | Dr. G. Sucharitha Professor | Image Processing, Deep Learning, Gen-AI | 07-06-2012 |
| 7 | Dr. Siddhartha Ghosh Professor | Data Science , Machine Learning , Deep Learning and Natural Language Processing | 08-06-2012 |
| 8 | Dr. PVS Siva Prasad Associate Professor | Data Science, AI, ML and DS | 06-05-2016 |
| 9 | Dr. K. Shailaja Associate Professor | Image Processing, Machine learning, Deep Learning, Data Science | 06-05-2016 |
| 10 | Dr. B. V. V. Siva Prasad Associate Professor | Mobile Ad-hoc Networks, Cloud Computing, Machine Learning | 16-02-2023 |
Academic Requirement
Candidates must have passed a Master’s Degree in Engineering/Technology or M.Tech. by Research or any other equivalent Degree in relevant area from a university/institution recognized by Anurag University.
Master’s Degree or its equivalent in the relevant area with a minimum of 55% marks from a university/institution recognized by Anurag University.
M. Pharmacy or its equivalent with a minimum of 55% marks, awarded by a university/institution recognized by Anurag University.
In the case of MCA graduates or M.Sc. in Computer Science, the M.Tech in CSE/IT/any other stream of CSE qualification is mandatory for registering for Ph.D.
Admission shall be based on:
Merit in the Anurag University Ph.D. Entrance Examination followed by an Interview.
Candidates qualified in national-level examinations such as:
UGC / CSIR / ICAR / ICMR / DBT / UGC-NET / APRCET / TSET / CSIR-NET / SET-TS/AP / JEST / GATE / GPAT / DST-INSPIRE fellowship or Teacher Fellowship applicants or working as Scientists in Government
Organizations & Research Labs with five years experience are exempted from Ph.D. Eligibility Test of Anurag University. However, the candidate has to appear for the Interview.
Explore allied programs that build on core computer science foundations and open up specialised career pathways.
Clubs
Student-led technical and cultural clubs provide spaces to explore interests, collaborate on ideas, and apply learning beyond the classroom
Learning Spaces
From smart classrooms to advanced laboratories, Anurag University’s learning spaces are designed to support hands-on learning, experimentation, and collaborative problem solving.
Research Overview
Research at Anurag University spans core and emerging areas, encouraging students to engage in inquiry, innovation, and real-world problem solving alongside experienced faculty.
Campus beyond classroom
A vibrant campus life with events, workshops, libraries, and shared spaces ensures learning continues outside formal lectures, shaping well-rounded student experiences.
What areas of research are available in this program?
Research areas include algorithms, data science, artificial intelligence, and computer systems.
Is the research work practical-oriented?
Yes, it involves implementation, experimentation, and problem-solving.
How are scholars supported during research?
Through faculty mentorship, technical resources, and regular evaluations.
Are modern tools and technologies used?
Yes, research incorporates the latest tools, platforms, and technologies.
What is the structure of the Ph.D. program?
It includes coursework, independent research, publications, and thesis submission.
