Personal profile
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 3 Good Health and Well-being
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SDG 7 Affordable and Clean Energy
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SDG 8 Decent Work and Economic Growth
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SDG 9 Industry, Innovation, and Infrastructure
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SDG 10 Reduced Inequalities
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SDG 11 Sustainable Cities and Communities
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SDG 12 Responsible Consumption and Production
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SDG 14 Life Below Water
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Dive into the research topics where Shenghan Zhou is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Data-driven human error accident risk control: A systematic review of data sparsity, causal explainability, and operational transformation
Li, C., Zhou, S., Pan, X., Ding, S. & Li, Z., 2026, (Accepted/In press) In: International Journal of Industrial Ergonomics. 103918.Research output: Contribution to journal › Review article › peer-review
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Risk Modeling and Robust Resource Allocation in Complex Aviation Networks: A Wasserstein Distributionally Robust Optimization Approach
Wen, J., Chen, Y., Chang, W., Wang, J. & Zhou, S., Feb 2026, In: Applied Sciences (Switzerland). 16, 4, 1959.Research output: Contribution to journal › Article › peer-review
Open Access -
A framework of data-driven real-time risks prediction method on UAV flight safety
Zheng, K., Li, C., Yang, L., Pan, X. & Zhou, S., 2025, Equipment Intelligent Operation and Maintenance - Proceedings of the 1st International Conference on Equipment Intelligent Operation and Maintenance, ICEIOM 2023. Yan, R. & Lin, J. (eds.). CRC Press/Balkema, p. 758-765 8 p. (Equipment Intelligent Operation and Maintenance - Proceedings of the 1st International Conference on Equipment Intelligent Operation and Maintenance, ICEIOM 2023; vol. 1).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
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A Physiological Signal-Based Flight Risk Prediction Model Using Pre-training and Fine-tuning LSTM strategy
Chen, X., Zhou, S., Chang, W., Wei, F. & Yang, L., 2025, In: Proceedings of International Conference on Computers and Industrial Engineering, CIE. 2025-October, p. 1082-1089 8 p.Research output: Contribution to journal › Conference article › peer-review
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A Two-Phase Task Offloading Model with Resource Reservation for Emergency Vehicular Edge Computing
Chen, Y., Chang, W., Wang, M., Zhou, H. & Zhou, S., 2025, In: Proceedings of International Conference on Computers and Industrial Engineering, CIE. 2025-October, p. 1072-1081 10 p.Research output: Contribution to journal › Conference article › peer-review