Arvind Kumar Shukla
Papers
2
Total Citations
3
H-Index
1
About
Arvind Kumar Shukla is a pioneering researcher at the intersection of artificial intelligence, cybersecurity, and sustainable technology. His work focuses on developing intelligent systems for real-time applications, with particular emphasis on securing robotic networks and advancing precision agriculture through computational intelligence. In his highly cited 2023 paper on "Robotics in Real-Time Applications Using Bayesian Hyper-Tuned Artificial Neural Network," Shukla addresses the critical vulnerability of Real-time Location Systems (RtLSs) in mobile robotics, demonstrating how Bayesian optimization can enhance neural network defenses against cyberattacks—a contribution that has already garnered attention in the robotics security community. His equally innovative work on "Swarm Intelligence Embedded Data Mining for Precision Agriculture Advancements" explores how collective intelligence algorithms can revolutionize farming practices by uncovering hidden patterns in agricultural data. Though early in his citation trajectory, Shukla’s research represents a vital convergence of AI safety and agricultural sustainability, tackling two of the most pressing challenges in modern technology: securing autonomous systems and feeding a growing global population. His interdisciplinary approach positions him as an emerging voice in the next generation of AI researchers.
Research Focus
Key Achievements
Top Papers
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