Ph.D ( Computer Science and Engineering )

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Course Level
Doctoral

Course Fee

Fee for PhD Progranmme for Batch January 2024: (Indian Scholars)
Description	Current Fee	Remarks	Proposed Fee	Remarks
Registration Fee	25,000/-	One time, to be paid at the time of registration.	30,000/-	One time, to be paid at the time of registration.
Course Work Fee including four mandatory course-11 credits	45,000/-	One time, to be paid at the time registration.	50,000/-	"One time, to be paid at the time of registration."
Research Fee	70,000/-	Per annum, Rs. 35,000/- to be paid at the time of registration and balance Rs. 35,000/- within 6 months from the date of registration	80,000/-	Per annum, Rs. 40,000/- to be paid at the time of registration and balance Rs. 40,000/ within 6 months from the date of registration.
Thesis Evaluation Fee	35,000/-	One time, to be paid at the time of submission of Thesis.	40,000/-	One time, to be paid at the time of submission of thesis.
Fee structure for PhD admissions for NRISPIOs/Foreign scholars
Description	Current Fee Amount in (US$)	Remarks	Proposed Fee	Remarks
Registration Fee	460	One time, to be paid at the time of registration.	500	One time, to be paid at the time of registration.
Course Work Fee including four mandatory course-11 credits	790	One time, to be paid at the time registration.	850	"One time, to be paid at the time of registration."
Research Fee	1800	Per annum, US $ 900 to be paid at the time of registration and balance US $ 900 within 6 months from the date of registration.	2000	Per annum, US $ 1000 to be paid at the time of registration and balance US $ 1000 within 6 months from the date of registration.
Thesis Evaluation Fee	650	One time, to be paid at the time of submission of Thesis.	750	One time, to be paid at the time of submission of Thesis.

Scholarship

Key Features

The key features of a Ph.D. program in Computer Science & Engineering (CSE) typically include:
Research Emphasis: A strong focus on original and innovative research, allowing candidates to make significant contributions to the body of knowledge in their specific area of study within CSE.
Advanced Coursework: Rigorous coursework that provides candidates with a deep understanding of foundational and cutting-edge concepts in computer science and engineering, ensuring a solid academic foundation.
Interdisciplinary Opportunities: Opportunities for interdisciplinary research, allowing candidates to explore connections between computer science and other fields, fostering a holistic approach to problem-solving.
Teaching Opportunities: Provision for candidates to gain teaching experience, preparing them for academic roles and enhancing their ability to communicate complex concepts effectively.
Mentorship: Access to experienced faculty mentors who guide and support candidates throughout their research journey, providing valuable insights and expertise.
Research Facilities: Access to state-of-the-art laboratories, computing resources, and research facilities to facilitate experimental and theoretical research endeavors.
Publication Expectations: Encouragement and support for candidates to publish their research findings in reputable conferences and journals, contributing to the dissemination of knowledge in the academic community.
Seminars and Workshops: Regular seminars, workshops, and conferences that create opportunities for candidates to present their work, exchange ideas, and stay updated on the latest advancements in CSE.
Collaborative Research Culture: Fostering a collaborative research environment that encourages candidates to work with peers, faculty, and industry professionals, promoting a diverse and enriching research experience.
Thesis Defense: Culmination of the program with a comprehensive thesis defense, where candidates present and defend their research findings before a panel of experts, demonstrating mastery in their chosen area of study.

Areas of expertise available in the department

S No	Faculty Name	Designation	Thrust Areas
1	Dr. Brijesh Kumar	Professor	Simulation and Modelling, Web Technologies
2	Dr. Rashima Mahajan	Professor	Signal Processing, Machine Learning, IoT
3	Dr. Kamlesh Sharma	Professor	Natural Language Processing, Data Mining, Machine Learning
4	Dr. Tapas Kumar	Professor	Digital Image processing, Artificial Intelligence & Machine Learning
5	Dr. Mamta Dahiya	Professor	Data Science, ML, GeoAI
6	Dr. Suresh Kumar	Professor	Artificial Intelligence
7	Dr. Supriya Panda	Professor	Soft Computing, Optimization & Algorithms
8	Dr. Deepa Bura	Professor	Data Mining, Software Engineering, Data Science
9	Dr. Meeta Singh	Professor	Data Mining, Data Science, Cloud Computing
10	Dr. Poonam Tanwar	Professor	Machine Learning, Medical Imaging, Data Science, Natural Language Processing, Computational Intelligence, Knowledge Representation & Retrieval
11	Dr. Poonam Nandal	Professor	Machine Learning, Data Science, Information Retrieval
12	Dr. Indu Kashyap	Professor	Machine Learning, Artificial Intelligence, Wireless Networks
13	Dr. Mahboob Alam	Associate Professor	Data Analytics, Machine Learning, Big Data, Cloud Computing
14	Dr. Nitasha Soni	Associate Professor	Artificial Intelligence, Cloud Computing
15	Dr. Savita	Associate Professor	IOT, Wireless Communication, Microprocessor