Ph.D in Information Technology
This program pioneers research in emerging digital domains like cloud architecture, enterprise cybersecurity, and intelligent information systems. Students conduct research-driven projects to create strategic IT solutions that lead global digital transformation.
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EXPLORE THIS SECTION
Engage in interdisciplinary research across emerging areas of study
Post-Quantum Cryptography
Natural Language Processing (NLP)
Network Security
Data Science
Explainable AI (XAI)
Big Data Analytics
Cloud Computing and more
Post-Quantum Cryptography
Natural Language Processing (NLP)
Network Security
Data Science
Explainable AI (XAI)
Big Data Analytics
Cloud Computing and more
12
Credits
30
No. of Scholars
13
No. of Supervisors
| S.No | Name of the Supervisor & Designation | Area of Interest & Specialization | Date of Joining |
|---|---|---|---|
| 1 | Dr. K. Sudheer Reddy Professor | Data Engineering, Software Engineering, Programming Languages, and Artificial Intelligence | 06-07-2015 |
| 2 | Dr. A. Prasantha Rao Professor | RTS, Internet of Things, Cloud Computing, Big Data Analytics, Machine Learning | 04-05-2012 |
| 3 | Dr. Y V Reddy Professor | Network Security, Cryptography, Distributed Systems and its Security, Computer Networks | 16-11-2020 |
| 4 | Dr. D. L. Padmaja Associate Professor | Data mining, Machine Learning and Allied topics | 02-09-2002 |
| 5 | Dr.P.Ramesh Babu Associate Professor | Text Mining and Natural Language Processing (NLP) | 18-09-2024 |
| 6 | Dr. Manyam Thaile Associate Professor | Wireless Sensor Network Security, Machine Learning, Deep Learning | 02-08-2024 |
| 7 | Dr. Niteesha Sharma, Assistant Professor | Machine Learning and Big Data | 01-07-2010 |
| 8 | Dr. G. L. Anand Babu, Assistant Professor | Text Mining and Natural Language Processing (NLP) | 16-06-2011 |
| 9 | Dr. Medikonda Asha Kiran Assistant Professor | Artificial Intelligence, Explainable-AI, Machine Learning, and Post-Quantum Cryptography. | 16-08-2024 |
| 10 | Dr. T. Asha Latha Assistant Professor | Data Science | 19-12-2007 |
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 is the focus of the IT Ph.D. program?
It focuses on advanced computing, networking, cybersecurity, and data management.
Is research application-based?
Yes, it includes solving real-world IT challenges.
How is research progress monitored?
Through periodic evaluations and faculty guidance.
Are modern technologies included?
Yes, research aligns with current trends and tools.
What is the program structure?
It includes coursework, research, and thesis submission.
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