Zihao Song
Papers
1
Total Citations
4
H-Index
1
About
Zihao Song is a rising researcher at the intersection of operations research, healthcare engineering, and intelligent optimization. His work focuses on improving the efficiency and cost-effectiveness of critical medical supply chains and robotic systems through advanced algorithmic frameworks. In his most cited study, “Application of the adaptive sparrow search algorithm in medical supply engineering,” Song develops an integrated forecasting-optimization model that combines SARIMA-based weekly demand prediction with a novel adaptive sparrow search algorithm. This approach enhances long-term resource planning for vascular robotic systems in clinical settings, addressing real-world challenges in medical logistics and automation. His contributions are particularly notable for bridging predictive analytics with metaheuristic optimization, offering practical solutions for hospital resource management. With a growing citation impact and a focus on translational engineering, Song’s work is gaining attention among researchers in healthcare systems and industrial engineering. His innovative use of bio-inspired algorithms for medical applications marks him as a promising voice in the field of smart healthcare and supply chain resilience.
Research Focus
Key Achievements
Top Papers
- 1