Lei Shi
Papers
1
Total Citations
1
H-Index
1
About
Lei Shi is an emerging researcher whose work sits at the dynamic intersection of smart logistics, autonomous systems, and sustainable urban operations. Their most notable recent contribution, "Reconcile autonomous garbage truck and workload for multiple-period waste pickup schedule considering service frequency for industry 5.0" (2025), demonstrates a forward-thinking approach to integrating autonomous vehicle technology with intelligent waste management scheduling — a timely topic as cities worldwide grapple with resource efficiency and environmental sustainability. This work addresses the complex optimization challenge of balancing autonomous fleet deployment against variable service demands across multiple time periods, positioning it squarely within the Industry 5.0 paradigm that emphasizes human-machine collaboration and societal value. Though still accumulating citations with 1 to date, the research tackles genuinely pressing operational and technological challenges that are likely to attract growing scholarly attention as autonomous logistics systems mature. Shi's focus on practical scheduling frameworks for real-world urban infrastructure suggests a researcher committed to bridging theoretical optimization with implementable solutions, making their ongoing work particularly relevant for engineers, urban planners, and operations researchers navigating the rapidly evolving landscape of smart city technologies.
Research Focus
Key Achievements
Top Papers
- 1