Dr. Hao Yu is Associate Professor and Program Leader of Industrial Engineering (MSc) at UiT The Arctic University of Norway. His research interests are real-problem-driven model development to solve complex decision-making problems in sustainable supply chains, reverse logistics, location and network design, service systems, scheduling, and smart manufacturing and logistics in Industry 4.0/5.0. These optimization/simulation models can be used to minimize carbon footprints and environmental risks of logistics systems, improve the accessibility and cost efficiency of service networks, locate the charging stations for electric/hydrogen vehicles, autonomously configure reconfigurable manufacturing systems, improve the lockage efficiency of a water conservancy project, and so forth. He has led or been a key member of 10+ international projects funded by the Research Council of Norway, the Directorate of Higher Education and Skills, Innovation Norway, Nordplus, and EU and EEA Programmes. He has authored and co-authored 50+ scientific papers with 1500+ citations and 18 H-Index. Currently, his research focuses on the combination of predictive analytics, prescriptive analytics, and descriptive analytics in an Industry 5.0-enabled Smart Digital Logistics Twin that can be used in, for example, reverse logistics, humanitarian/ epidemic logistics, and smart manufacturing/ remanufacturing systems.