Shashank Awasthi

Papers

Total Citations

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About

Shashank Awasthi is an emerging researcher whose work sits at the intersection of cybersecurity and intelligent systems, with a particular focus on practical, real-world applications. His most recognized contribution, "A Comparative Study of Various CAPTCHA Methods for Securing Web Pages," has garnered 11 citations and explores how pattern-matching algorithms can enhance user verification while thwarting automated attacks. This work addresses a fundamental challenge in web security: balancing robust protection with seamless user experience. More recently, Awasthi has turned his attention to the transformative potential of artificial intelligence in supply chain management. His 2025 study on "Simplification Process in Supply Chain Management Through Artificial Intelligence" investigates how machine learning, deep learning, and neural networks can streamline complex logistics, reduce inefficiencies, and enable predictive decision-making. Though early in his career, Awasthi demonstrates a clear trajectory toward integrating AI-driven solutions into critical infrastructure. His research reflects a growing need for intelligent automation in both cybersecurity and operational management, positioning him as a thoughtful contributor to the next generation of applied AI research.