Parvinder Singh
Also known as: Singh P
Deenbandhu Chhotu Ram University of Science and Technology, Guru Jambheshwar University of Science & Technology
About
Prof. Parvinder Singh is working as Dean IT & CS and Professor Computer Science & Enginnering in Deenbandhu Chhotu Ram University of Science and Technology, Murthal, India. His research interests include Information Security, Image Processing and Big Data. He has published more than 100 research papers. He is recipient of 2 DST and one UGC grants. Presently he is working on India- Bulgaria Joint project "Contemporary Approaches for Processing and Analysis of Multidimensional Signals in Telecommunications", financed by the Department of Science and Technology (DST), India and the Ministry of Education and Science, Bulgaria. Six PhD scholars have received their degrees under his guidance till date. His biography was published in 27th edition of Marquis Who's is Who in World 2010 and his name was includedin the Top 100 Engineers - 2012 by Cambridge, England.
Employment
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Deenbandhu Chhotu Ram University of Science and Technology Professor2008 - Present
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Guru Jambheshwar University of Science & Technology Assistant Professor2004 - 2008
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (38)
- An In-Depth Review of Routing Protocols in IoT-Oriented Sensor Networks Save
- An Improved Content-Based Recommendation System Integrating Ontology-Based Inferences with Hybrid Causal Representation Learning and Reinforcement Learning Save
- TextRefine: A Novel approach to improve the accuracy of LLM Models Save
- A Comprehensive Review on Strategies to Detect, Diagnose and Classify Brain Tumors Save
- DDVM: dual decision voting mechanism for brain tumour identification with LBP<SUP align="right">2Q-SVM type classifier Save
- A systematic literature mapping on secure identity management using blockchain technology Save
- A secure identity and access management system for decentralising user data using blockchain Save
- An anti-phishing model based on similarity measurement Save
- Anti-phishing model based on relative content mining Save
- Comparative analysis of wavelet-based copyright protection techniques Save