Hemant Singh Sengar

Hemant Singh Sengar is a researcher and co-author of several publications in the fields of computer science and engineering. His work spans network protocols for mobile ad-hoc networks, data security in communication systems, and deep learning applications in biometric systems and public health. He has collaborated with experts like Arpit Jain, Om Goel, and others across multiple institutions.

Research interests include secure communication in non-ideal environments, cryptographic protocols for smart grids, and machine learning-driven approaches to data aggregation, intrusion detection, and medical imaging. His recent publications focus on optimizing network efficiency and enhancing security in emerging technologies.

Key contributions include modeling MANET protocols (2025), lightweight authentication for smart grids (2024), and non-invasive blood group prediction via EfficientNet (2024). Earlier work addresses face mask detection (2023), biometric spoofing (2022), and data-driven product management strategies (2020).