Alena Semivolos

Papers

Total Citations

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About

Alena Semivolos is a researcher focused on the intersection of artificial intelligence and logistics, with a particular emphasis on operational challenges during global crises. Her most-cited work, "The Application of Artificial Intelligence to the Process of Logistic During COVID-19" (2022, 4 citations), examines how AI technologies—such as driver assistance systems, parcel sorters, and inventory planners—were deployed to manage the unprecedented surge in parcel deliveries during the pandemic. Semivolos highlights the critical role of AI in alleviating the physical and mental strain on delivery drivers, whose workloads intensified as e-commerce orders skyrocketed. This contribution underscores her broader interest in optimizing supply chain resilience and worker well-being through intelligent automation. While her citation count is modest, her research addresses a timely and practical problem, offering insights into how AI can mitigate operational disruptions during public health emergencies. Semivolos’s work is particularly relevant for students and researchers exploring the human-centric applications of AI in logistics, as it bridges technological innovation with real-world workforce challenges. Her findings serve as a foundation for further studies on AI-driven crisis management in supply chains.