معرفی
Emir Demirel is a Visiting Professor in the School of Electronic Engineering and Computer Science at Queen Mary University of London. His research focuses on interdisciplinary applications of network science and artificial intelligence in supply chain optimization, food systems, and operations research. He explores innovative solutions to reduce food waste through 'ugly veg' supply chains and examines blockchain's role in supply chain finance.
Key research areas include supply chain surveillance using AI, dynamic network instability analysis, and adaptive systems modeling. His work bridges theoretical frameworks with practical implementations, addressing challenges in logistics, sustainability, and economic efficiency. Demirel's studies often integrate mathematical modeling with real-world data, emphasizing resilience and decision-making under uncertainty.
His publications highlight trends in digital supply chain transformation, leveraging network science to uncover systemic vulnerabilities and design robust frameworks. While no awards are explicitly listed, his contributions to food systems and blockchain applications reflect impactful interdisciplinary research.
Demirel collaborates with industry stakeholders on projects involving supply chain finance and agricultural policy. His work often intersects with global sustainability goals, advocating for technology-driven solutions to reduce inefficiencies in resource distribution.
