Assi. Pro. Dr. Pardeep Kumar is an active researcher in artificial intelligence, machine learning, cybersecurity, edge computing, and intelligent healthcare systems, with contributions spanning advanced encryption, blockchain-based medical systems, wireless sensor networks, Industry 4.0 security, medical data privacy, and applied data analytics. His work includes notable studies on lightweight privacy-preserving mechanisms using elliptic curve cryptography, AI-driven optimization for edge-computing federations, clinical data analysis, smart agriculture using IoT, adaptive image enhancement, and machine-learning-based fault prediction. He has also contributed patents in medical and pollution-monitoring technologies, along with research on distributed agile software development, cloud resource sharing, and neural-network-driven secure communication systems. With 247 Scopus citations, 13 Scopus-indexed documents, and an h-index of 6, his research demonstrates a consistent impact across interdisciplinary computing domains, particularly in secure intelligent systems and data-driven solutions.
Profiles: Scopus | Orcid
Featured Publications :
Behaviour-constrained support vector machines for fMRI data analysis. (2023). AIP Conference Proceedings. DOI: 10.1063/5.0109861.
Certain investigation of clinical nursing analysis and the embedded web medical system. (2022). Journal of Pharmaceutical Negative Results.
A decentralized secured grid integration system using APEBC technique with multi access AI framework. (2022). Sustainable Computing: Informatics and Systems. DOI: 10.1016/j.suscom.2022.100777.
Multi-objective optimization of AI driven mechanism algorithm for dynamic application deployment in federations of edge computing. (2022). NeuroQuantology.
Task allocation in distributed agile software development using machine learning approach. (2021). International Conference on Disruptive Technologies for Multi-Disciplinary Research and Applications (CENTCON). DOI: 10.1109/centcon52345.2021.9688114.