Ph.D ( Computer Science and Engineering )

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Course Level
Doctoral

Course Fee

Fee for PhD Progranmme for Batch January: (Indian Scholars)
Description	Fee Amount in Rs	Remarks
Registration Fee	Rs 30,000/-	One time, to be paid at the time of admission
Course Work Fee including three mandatory course-09 credits	Rs 50,000/-	One time, to be paid at the time admission
Research Fee	Rs 40,000/-	Rs 40,000/- to be paid at the time of admission and balance Rs 40,000/- every Semester for minimum 3 years
Thesis Evaluation Fee	Rs 40,000/-	One time, to be paid at the time of submission of Thesis.
Fee for PhD Progranmme for Batch January: (NRIS/ PIOs/ Foreign scholars)
Description	Fee Amount in USD	Remarks
Registration Fee	$500	One time, to be paid at the time of admission
Course Work Fee including three mandatory course-09 credits	$850	One time, to be paid at the time admission
Research Fee	$1000	US$ 1000 to be paid at the time of admission and balance US$ 1000 every Semester for minimum 3years
Thesis Evaluation Fee	$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