Shivam Tiwari

Papers

Total Citations

H-Index

About

Shivam Tiwari’s research sits at the intersection of artificial intelligence, cybersecurity, and data governance. His work on the “Image Processing Based Intelligent Mini Robotic Face Recognition System” (2023) has already garnered 18 citations, demonstrating early impact in applying machine learning to real-time biometric identification and robotic vision. This contribution addresses the growing challenge of managing massive data streams from Internet-connected devices by embedding intelligent processing directly into hardware systems. Tiwari also explores the critical domain of data security, as seen in his study “Business Policies and Practices for Ensuring Data Security” (2023, 2 citations), which examines how formal and informal organizational rules must evolve to counter rising cyber threats. By bridging technical AI solutions with strategic policy frameworks, Tiwari offers a holistic perspective on secure, efficient data management. His work is particularly relevant for researchers and students interested in the practical deployment of machine learning in embedded systems and the governance challenges that accompany digital transformation. With a focus on both innovation and security, Tiwari is establishing himself as a thoughtful contributor to the future of intelligent, trustworthy technology.