Prof.Nanhay Singh
Netaji Subhas University of Technology, Kurukshetra University
0000-0002-3303-1386
About
Dr. Nanhay Singh is working presently as Professor and served as Head
of Computer Science and Engineering Department at NSUT East Campus, Geeta
Colony, Delhi-110031 (Formerly Ambedkar Institute of Advanced Communication
Technologies and Research, Govt. of NCT. of Delhi) four years. He obtained his
M.Tech. (Computer Science and Engineering) and Ph.D. degree from Kurukshetra
University, Kurukshetra. He has more than 22 years of teaching experience. He has
served Harcourt Butler Technical University, Kanpur (Formerly H.B.T.I Kanpur, Govt.
of U.P.) from 2007 to 2011 as Assistant Professor. He has supervised one Ph.D.
research scholar and eight research scholars are doing research under his guidance. He has published more than 50 research articles in the reputed International Journals,Conferences and Books. He has organized 5 International Conferences and Faculty Development Programs and Workshops. He is the BOS member of several Universities and Institutes. He is also awarded Institute Research and Academic Activity Award in 2016 and 2017. He has delivered more than 30 expert talks in various reputed Universities and Institutes. He is the editor of two books published by International IGI Publisher. He has been editor and reviewer for various reputed International Journals and Conferences. He is a life time member of ISTE. Dr. Singh has worked administrative works in the capacities of Head of Department of Computer Science and Engineering, Examination In-charge and Computer Centre In-charge. He has been an expert member of various selection panels and committees constituted by various State Govt. and Govt. of India.
Employment
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Netaji Subhas University of Technology Professor
Education
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Kurukshetra University Ph.D.
Projects & Funding
Projects & funding information is unavailable.
Publications (12)
- Multilevel authentication protocol for enabling secure communication in Internet of Things Save
- Water quality assessment of a river using deep learning Bi-LSTM methodology: forecasting and validation Save
- An approach for predicting missing links in social network using node attribute and path information Save
- Survey on Machine Learning and Deep Learning Applications in Breast Cancer Diagnosis Save
- Machine learning techniques in river water quality modelling: a research travelogue Save
- An ensemble hyper-tuned model for IoT sensors attacks and anomaly detection Save
- A new approach buffer-efficient disruption tolerant protocol in vehicular delay-tolerant network Save
- SECSIX: security engine for CSRF, SQL injection and XSS attacks Save
- A Survey on the Detection of SQL Injection Attacks and Their Countermeasures Save
- A Probabilistic Analysis of Path Duration Using Routing Protocol in VANETs Save