Pradeep Singh

Papers

Total Citations

H-Index

About

Pradeep Singh is a researcher at the forefront of artificial intelligence and cybersecurity, with key contributions spanning autonomous systems and web security. His most cited work, "Simulation of Self-driving Car using Deep Learning" (2020, 30 citations), demonstrates his expertise in applying deep learning models to revolutionize autonomous vehicle navigation, addressing critical challenges in robotic intelligence and algorithmic robustness. Singh also advances cybersecurity through his innovative "Web-S4AE: a semi-supervised stacked sparse autoencoder model for web robot detection" (2023, 5 citations), which introduces a novel approach to distinguishing malicious bots from legitimate users. This work showcases his ability to merge unsupervised and supervised learning techniques for practical security applications. Beyond these papers, Singh’s research reflects a commitment to bridging theoretical AI advances with real-world impact, particularly in safety-critical domains like self-driving cars and web security. His growing citation record underscores the relevance of his contributions to both academia and industry, positioning him as an emerging voice in deep learning and intelligent systems.