Tanvi Saxena

M S Ramaiah University of Applied Sciences

Papers

Total Citations

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About

Dr. Tanvi Saxena is a forward-thinking researcher at the intersection of artificial intelligence, blockchain technology, and industrial automation. Her work primarily addresses the critical need for enhanced performance and security in modern industrial robotics, where she has pioneered the integration of AI-driven optimization with decentralized blockchain frameworks. Her most cited paper, "Enhancing Industrial Robotics Performance and Security With AI and Blockchain Technologies" (2023, 6 citations), lays foundational groundwork for creating resilient, intelligent manufacturing systems. Saxena also explores the transformative potential of AI in defense and security applications, as seen in her work "Artificial Intelligence for Defence" (2023, 3 citations), where she clarifies the distinct roles of AI and machine learning in military contexts. Her research bridges cutting-edge computational methods with real-world industrial and national security challenges. Though early in her career, Saxena’s contributions are already shaping conversations around secure, high-performance autonomous systems. Her work is essential reading for students and researchers interested in the convergence of AI, blockchain, and robotics for critical infrastructure.