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Ph.D in Artificial Intelligence

Advancing Intelligent Systems and Next-Generation AI

This program focuses on advancing Artificial Intelligence through research in machine learning, deep learning, NLP, computer vision, and responsible AI, with an emphasis on developing scalable, ethical, and innovative solutions for real-world applications.

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Research Areas Unfolded

Engage in interdisciplinary research across emerging areas of study

Ph.D in Artificial Intelligence
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Artificial Neural Networks

Cloud Computing

Quantum Computing

Security Testing

Blockchain Technology

Computer Vision

Data Science and more

Program Snapshot

12

Credits

39

No. of Scholars

12

No. of supervisors

Faculty Guided Ph.D- AI

S.NoName of the Supervisor & DesignationArea of Interest & SpecializationDate of JoiningPh.D Awarded Month & YearNuber of scholars currently guidingNumber of vacancies
1Dr. A Mallikarjuna Reddy, Associate ProfessorDigital Image Processing, Security, Data Science, Data Bases and Internet of Things15-09-2021Dec-1915
2Dr. Abdul Ahad, Associate ProfessorData Mining, Machine Learning, Data Science21-12-2020Mar-1915
3Dr. Pardeep Kumar, Associate ProfessorWireless Sensor Network, Artificial Neural Network, IoT23-10-2021Aug-17Nil6
4Dr. K Basavaraju, Associate ProfessorImage Processing, Machine Learning23-10-2021NilNilNil
5Dr. Manoranjan Dash, Associate ProfessorComputer Vision and Machine Learning01-11-2021NilNilNil
6Dr. M. Trupthi, Associate ProfessorNatural Language Processing, Machine Learning01-03-2023NilNilNil
7Dr. L. Sridhara Rao, Associate ProfessorArtificial Intelligence and Federative learning24-06-2024NilNilNil
8Dr. K C Sreedhar, Associate ProfessorMachine Learning, Data Mining, Cloud Computing, Deep learning, Computer Vision, Artificial Intelligence21-06-2025NilNilNil
9Dr. Sravanth Kumar Ramakuri, Assistant ProfessorBrain Computer Interface (BCA)12-06-2024NilNilNil
10Dr. Srinadh Swamy Majeti, Assistant ProfessorSecurity Testing18-08-2023NilNilNil
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Designed for Real-World Success

Built on an Outcome-Based Education (OBE) framework, the AI program emphasizes hands-on learning, industry collaboration, and applied problem solving. Students graduate ready for entry-level roles in machine learning, data science, AI software development, and research

Eligibility Criteria

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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.

Future Pattern
Turning Degrees 
into Careers

Turning Degrees into Careers

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Frequently Asked Questions

It focuses on advanced AI topics such as machine learning, deep learning, and intelligent systems.

Yes, research includes model development, experimentation, and real-world applications.

Scholars work closely with faculty mentors and receive continuous feedback.

Yes, AI research often intersects with other domains and applications.

Through periodic reviews, research milestones, and publications.

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