Overview
The Ph.D. program in Information Technology at Anurag University covers a wide range of topics, including data mining, artificial intelligence, computer networks, software engineering, and database systems. The program is research-oriented, and students are required to undertake an original research project under the guidance of a faculty advisor.
Research Areas
- Machine Learning and Artificial Intelligence
- Internet of Things, Cloud Computing
- Big Data Analytics
- Network Security, Cryptography
- Distributed Systems and its Security
- Computer Networks
Duration
For Full-Time PhD scholars - 3 Years
For Part-Time PhD scholars - 4 Years
Process
- Check Eligibility: The first step is to check if you meet the eligibility criteria for the program. You should have a Master’s degree in Information Technology or a related field with a minimum of 55% marks.
- Identify a Research Area: You should identify a research area in information technology that interests you and matches your academic and professional background. You can explore the research areas on the Anurag University
- website or consult with a faculty member in the Information Technology department.
Credits
0
Credits
0
No of Scholars
0
No of Supervisors
Faculty Guided Ph.D
S.No | Name of the Supervisor & Designation / Date of Recognition | Area of Interest & Specialization | Date of Joining | Ph.D Awarded Month & Year | Nuber of scholars currently guiding | Number of vacancies |
---|---|---|---|---|---|---|
1 | Dr. K. S. Reddy, Professor (11-12-2020) | Data Engineering, Software Engineering, Programming Languages, and Artificial Intelligence | 06-07-2015 | 2012(Dec) | 3 | 5 |
2 | Dr. A. Prasantha Rao (11-12-2020)Professor | RTS, Internet of Things, Cloud Computing, Big Data Analytics, Machine Learning | 04-05-2012 | 2014 (May) | 2 | 6 |
3 | Dr. Y V Reddy (11-12-2020) Associate Professor | Network Security, Cryptography, Distributed Systems and its Security, Computer Networks | 16-11-2020 | 2018 (July) | 1 | 5 |
4 | Dr. D. L. Padmaja (11-12-2020)Associate Professor | Data mining, Machine Learning and Allied topics | 02-09-2002 | 2019 (Dec) | 2 | 4 |