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SEC

Ph.D ( Computer Science and Engineering )

  • Course Level

    Course Level
    Doctoral

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    Course Fee

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  • Scholarship

 
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Ph.D in Computer Science & Engineering offers candidates a prospect to contribute to academia in their chosen area of study. The candidates are also provided with an opportunity to teach or participate in ongoing research at MRIIRS.

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. Tapas Kumar Professor , CSE-SET, MRIIRS Artificial Intelligence, Machine Learning, Pattern Recognition and Digital Image Processing
2 Dr. Mamta Dahiya Professor, CSE-SET, MRIIRS Geo spatial technologies, Data science and Machine Learning
3 Dr. Supriya P. Panda Professor, CSE, SET, MRIIRS Machine learning, Data Science, Soft computing,Optimization
4 Dr. Suresh Kumar Professor CSE-SET, MRIIRS Networks, Data Science, Artificial Intelligence, Machine learning
5 Dr. Indu Kashyap Professor CSE-SET, MRIIRS Data Science, Machine learning, Networks
6 Dr. Deepa Bura Professor CSE-SET, MRIIRS Data mining, software engineering
7 Dr. Poonam Tanwar Professor CSE-SET, MRIIRS Artificial Intelligence & its application , Data Science, Machine learning, Image processing , Medical Imaging
8 Dr. Meeta Singh Professor CSE-SET, MRIIRS Cloud Computing, Mobile Ad-hoc Network
9 Dr. Rashima Mahajan Professor CSE-SET, MRIIRS Biomedical signal Processing, Image Processing, Machine Learning
10 Dr. Rosy Madaan Professor CSE-SET, MRIIRS Data mining, information retrieval
11 Dr. Poonam Chahal Professor, CSE, SET, MRIIRS Machine learning, AI
12 Dr. Kamlesh Sharma Professor, CSE, SET, MRIIRS Data mining, machine learning
13 Dr. Sudhanshu Maurya Professor, CSE, SET, MRIIRS Artificial Intelligence, GenAI, Quantum Computing, Security and Cloud Computing
14 Dr. Satyajee Srivastava Professor, CSE, SET, MRIIRS Artificial Intelligence
15 Dr. Savita Associate Professor CSE-SET, MRIIRS IOT, Cloud computing, adhoc networks, wireless sensor network, WBAN
16 Dr. Nitasha Soni Associate Professor, CSE, SET, MRIIRS Cloud computing, Big Data and AI
17 Dr. Kritika Taneja Associate Professor, CSE, SET, MRIIRS cyber security, cloud computing, blockchain
18 Dr. Rosy Madaan Associate Professor CSE-SET, MRIIRS Data mining, information retrieval
19 Dr. Poonam Chahal Professor, CSE, SET, MRIIRS Machine learning, AI
20 Dr. Kamlesh Sharma Professor, CSE, SET, MRIIRS Data mining, machine learning
21 Dr. Shobha Tyagi Associate Professor, CSE-SET, MRIIRS MANET, Networks
22 Dr.R.C. Sahoo Associate Professor, CSE-SET, MRIIRS Cybersecurity and ML
23 Dr. Tanvi Associate Professor, CSE-SET, MRIIRS Cloud computing, web mining, text mining, machine learning
24 Dr. Ginni Sehal Associate Professor, CSE-SET, MRIIRS Machine learning, AI
25 Dr.Ravindra Kumar Chahar Associate Professor, CSE-SET, MRIIRS Machine learning, Data science, Big Data
26 Dr Yogita Khatri Associate Professor, CSE-SET, MRIIRS Software fault prediction
27 Dr Rachna Behl Associate Professor, CSE-SET, MRIIRS Location Based Social Networks
28 Dr Shilpi Gupta Associate Professor, CSE-SET, MRIIRS Image processing,Machine Learning
29 Dr. Priyanka Rastogi Assoiate Professor, CSE-SET, MRIIRS Medical Imge processing, Machine learning, deep learning
30 Dr Shweta Sharma Assoiate Professor, CSE-SET, MRIIRS Computer Vision and Machine Learning
31 Dr Pronika Chawla Assoiate Professor, CSE-SET, MRIIRS Security and Cloud Computing
32 Dr. Shefali Singhal Assoiate Professor, CSE-SET, MRIIRS Machine learning, Predictive Modeling, Image Analysis, Prompt Engineering
33 Dr. Naina Pal Assistant Professor, CSE-SET, MRIIRS Multi-network clustering
34 Dr. Srishti Jindal Assistant Professor, CSE-SET, MRIIRS Artificial Intelligence, NLP, Data Mining
35 Dr. Kanishka Raheja Assistant Professor, CSE-SET, MRIIRS AdHoc Networks, Cryptography
36 Dr. Monika Shah Assistant Professor, CSE-SET, MRIIRS Networks
37 Dr. Junith Ahmed S Assistant Professor Computer Vision
38 Dr. Tanvi Chawla Assistant Professor Big Data and Semantic web
39 Dr. Ali Abbas Assistant Professor NLP and Machine Learning

 

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