Shubham Sharma

Papers

Total Citations

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About

Shubham Sharma is a researcher at the forefront of cybersecurity and intelligent automation, with a primary focus on securing critical infrastructure in the era of smart manufacturing. His most impactful work, "Security in Manufacturing Systems in the Age of Industry 4.0: Pitfalls and Possibilities" (2021, 21 citations), provides a seminal analysis of the vulnerabilities inherent in interconnected production environments, offering a crucial roadmap for safeguarding industrial control systems against emerging cyber threats. This contribution has become a key reference for engineers and policymakers navigating the complex security landscape of Industry 4.0. Earlier in his career, Sharma demonstrated a flair for applied AI with his work on "Attendance System Based On Face Recognition By Using Raspberry Pi" (2016, 5 citations), where he developed a practical, low-cost automated attendance solution leveraging computer vision. This project showcased his ability to translate complex algorithms into tangible, real-world tools. By bridging the gap between theoretical security frameworks and hands-on intelligent systems, Shubham Sharma’s research continues to influence both the protection and the practical advancement of modern automated environments.