Dr. Manju Khari
Jawaharlal Nehru University, Netaji Subhas University of Technology
About
Dr. Manju Khari is a Professor at Jawaharlal Nehru University, New Delhi,
prior to the university she worked with Netaji Subhas University of Technology, East
Campus, Under Govt. Of NCT Delhi. Her PhD is in Computer Science and Engineering
from the National Institute of Technology Patna and She received her master's degree
in Information Security affiliated with Guru Gobind Singh Indraprastha University,
Delhi, India. She has 100+ published papers in refereed National/International Journals
and Conferences (viz. IEEE, ACM, Springer, Inderscience, and Elsevier), 10 book
chapters in a Springer, CRC press, IGI Global, Auerbach. She is also co-author of two
books published by NCERT of XI and XII and co-editor of 10 edited books. She has
also organized 05 International conference sessions, 03 Faculty Development
Programmes, 02 workshops, and 01 industrial meet in her experience. She delivered an
expert talk, guest lecturer in International Conferences and was a member of the
reviewer/technical program committee at various International Conferences. Besides
this, she was associated with many International research organizations as Associate
Editor/ Guest Editor of Springer, Wiley and Elsevier books, and a reviewer for various
International Journal.
Employment
-
Jawaharlal Nehru University Faculty2021 - Present
-
Netaji Subhas University of Technology Dr.2006 - 2021
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (88)
- Edge Computing Fundamentals Save
- Edge Computing for Evaluating Healthcare System Efficiency Save
- Leveraging Machine Learning for Proactive Credit Card Fraud Detection Save
- Security and Privacy Considerations in Edge AI Save
- Systematic Study of Machine Learning Algorithms for Botnet Detection Save
- Towards Intelligent Neurodiagnostic: A Systematic Assessment of EEG-Based Learning Models for Mental Illness Detection Save
- Retraction Note: The perception systems used in fully automated vehicles: a comparative analysis Save
- Statistical Feature Fusion Driven Enhanced Network Intrusion Detection Save
- Edge Artificial Intelligence Save
- Iris Recognition System in the Context of Authentication Save