Papers
5
Total Citations
293
H-Index
4
About
Kashif Ahmad is a prominent researcher at the intersection of artificial intelligence, big data, and industrial computing, with a particular focus on the evolving landscape of smart manufacturing and cybersecurity. His most influential work, "The Duo of Artificial Intelligence and Big Data for Industry 4.0" (2021), has garnered an impressive 264 citations, establishing him as a leading voice in the integration of AI, Industrial Internet of Things (IIoT), and robotics within modern industrial ecosystems. Ahmad's research traces the full arc of industrial evolution, from Industry 4.0's data-driven automation to Industry 5.0's human-AI collaborative paradigm, where he has made significant contributions to explainable AI (XAI)-based intrusion detection systems — a critical area as interconnected manufacturing environments face mounting cybersecurity threats. His work on SLAM-based head tracking further demonstrates a versatile technical breadth spanning robot navigation and localization. Through systematic reviews and comprehensive overviews, Ahmad consistently bridges theoretical frameworks with practical industrial challenges, identifying research gaps and charting future directions. His growing citation record reflects increasing recognition from the global research community, making his work essential reading for anyone studying AI applications in next-generation industrial systems.
Research Focus
Key Achievements
Top Papers
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- 4HEAD BASED TRACKING4 citations · 2020
- 5