Hao Yu

Hao Yu is a tenured Associate Professor and Program Leader for the Master in Industrial Engineering at UiT The Arctic University of Norway, Department of Industrial Technology. His research focuses on real-problem-driven model development and applied operations research for sustainable supply chains, reverse logistics, location/network design, service systems, and smart logistics in Industry 4.0/5.0. He combines predictive, prescriptive, and descriptive analytics in Industry 5.0-enabled Smart Digital Logistics Twins to address challenges in reverse logistics, epidemic logistics, and remanufacturing systems.

• Current Projects:
  • Industry 5.0 enabled Smart Logistics (2023-2026) - HK-dir/UTFORSK
  • Digital Reverse Logistics Twin 5.0 (2026-2029) - FRIPRO
  • AI for Cyber-Sustainable Engineering Education (2025-2026) - Nordplus
• Professional Affiliations:
  • NORS (Norwegian Operations Research Society)
  • EWGSSC (EURO Working Group on Sustainable Supply Chains)
  • EWGLA (EURO Working Group on Location Analysis)
  • EURO Working Group on Practice of OR
• Editorial Roles:
  • Associate Editor - IEEE Transactions on Intelligent Transportation Systems
  • Associate Editor - World Journal of Engineering
  • Editorial Board - Science Progress, Discover Sustainability, Logistics, Eng
• Teaching Portfolio:
  • SB_ME_IIT_0001_Prosjektledelse (Microcredential, 2026-)
  • INE-3612 Industry X.0 (Master, 2023-)
  • INE-3800 Operations Research 1 (Master, 2022-)
  • INE-3605 Project Management (Master, 2015-2022)
  • TEK-6005 Industry 4.0 (EVU, 2020)
  • INE-3609 Supply Chain Management (Postgraduate, 2019 & 2022-)

Hao Yu's recent publications (2022-2025) demonstrate expertise in electric vehicle infrastructure modeling, railway cold chain forecasting, maritime scheduling, and digital twin applications. His work spans optimization/simulation models addressing sustainable logistics, reverse supply chains, and Industry 4.0/5.0 transitions, with case studies focused on Norway and the oil/gas sector.