Piyush Kumar Shukla

Rajiv Gandhi Technical University, Indian Institute of Technology Hyderabad

Papers

Total Citations

195

H-Index

About

Dr. Piyush Kumar Shukla is a leading researcher at the intersection of artificial intelligence, cybersecurity, and autonomous systems. His most impactful work addresses the societal threat of misinformation, with his highly cited 2022 study on machine learning-enabled fake news detection (115 citations) pioneering techniques for identifying deceptive content across diverse datasets. Dr. Shukla has also made significant contributions to secure communications, developing applied cryptography methods using chaos functions for fast digital logic systems in ubiquitous computing—a foundational approach for protecting data in resource-constrained environments. His research extends to Industry 4.0, where he proposed a reformist framework for improving human security in human-robot collaboration (29 citations), addressing critical safety challenges in modern manufacturing. Earlier in his career, Dr. Shukla advanced autonomous navigation through his work on fast randomized planners for SLAM automation, contributing to the field of simultaneous planning, localization, and mapping. With a portfolio spanning fake news detection, chaos-based encryption, and robotic safety, Dr. Shukla’s work demonstrates a consistent focus on creating secure, intelligent, and trustworthy systems for an increasingly digital and automated world.