Rijwan Khan

Papers

Total Citations

H-Index

About

Rijwan Khan is a leading researcher at the intersection of artificial intelligence and food safety, whose work is shaping the future of automated quality control in the food industry. His most cited research, "Artificial Intelligence and Machine Learning in Food Industries: A Study" (2021, 31 citations), critically examines how AI and machine learning are revolutionizing food production, from optimizing supply chains to ensuring systematic delivery, while also addressing the societal implications of reduced human interaction. Complementing this, his highly influential paper "Safety of Food and Food Warehouse Using VIBHISHAN" (2021, 29 citations) introduces an innovative framework for maintaining food quality at its most vulnerable point—the warehouse. This work underscores Khan's commitment to developing practical, technology-driven solutions for food safety, recognizing that quality must be protected from the very first step of storage. With a combined 60 citations on these foundational studies, Khan's research provides essential insights for students and professionals seeking to understand how intelligent systems can enhance food security and operational efficiency. His contributions are particularly valuable for those exploring AI applications in agriculture, supply chain management, and public health.