Muhammad Ikram
Papers
1
Total Citations
2
H-Index
1
About
Muhammad Ikram is a leading researcher at the intersection of sustainable supply chain management, artificial intelligence, and operations research. His work focuses on integrating advanced computational methods—such as queuing theory and ant colony optimization—to solve complex logistical challenges, particularly in the context of unmanned aerial vehicles (UAVs) and green supply chains. His most-cited paper, "Role of unmanned air vehicles in sustainable supply chain: queuing theory and ant colony optimization approach" (2024), has already garnered 2 citations, signaling early impact in a rapidly evolving field. Ikram’s contributions are notable for bridging theoretical optimization models with practical sustainability goals, offering data-driven solutions to reduce carbon footprints and enhance efficiency in modern logistics. His research is particularly relevant for students and practitioners seeking to understand how AI and UAVs can transform supply chain resilience and environmental performance. Beyond his published work, Ikram is recognized for advancing interdisciplinary approaches that merge engineering, environmental science, and computer science, making him a key voice in the push toward smarter, greener supply chains.
Research Focus
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Top Papers
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