Shraddha Dayananda

M S Ramaiah University of Applied Sciences

Papers

Total Citations

H-Index

About

Dr. Shraddha Dayananda is a forward-thinking researcher at the intersection of artificial intelligence, blockchain technology, and industrial automation. Her most-cited work, "Enhancing Industrial Robotics Performance and Security With AI and Blockchain Technologies" (2023, 6 citations), addresses the critical need for robust, secure, and high-performing robotic systems in modern manufacturing. Dr. Dayananda’s key contributions lie in demonstrating how AI can optimize robotic decision-making and operational efficiency, while blockchain provides an immutable, decentralized layer for data integrity and cybersecurity. This dual-pronged approach offers a pioneering framework for next-generation smart factories, tackling both performance bottlenecks and vulnerability to cyber threats. Her research is particularly notable for its practical relevance, bridging cutting-edge theoretical concepts with real-world industrial challenges. By proposing a synergistic model that leverages AI’s adaptability and blockchain’s transparency, Dr. Dayananda is helping to shape a future where industrial robotics are not only faster and more precise but also inherently trustworthy. Her work serves as a vital resource for engineers and researchers seeking to integrate advanced digital technologies into manufacturing ecosystems.