معرفی
Bojie Shen is a Research Fellow in the Department of Data Science & AI at Monash University. His research lies at the intersection of artificial intelligence, data science, and algorithmic transportation systems, with a focus on efficient and eco-friendly route planning for electric vehicles, public transport, and multi-agent systems.
His primary research interests include:
- Artificial Intelligence and Multi-Agent Path Finding
- Graph Algorithms and Route Planning
- Energy-Efficient Navigation for Electric Vehicles
- Public and Multi-Modal Transport Routing
- Combinatorial Search and Optimization
- Sustainable Mobility and Green Logistics
The analysis of his recent publications reveals a consistent trajectory in developing scalable, exact, and energy-aware routing algorithms. His work frequently appears in high-impact venues such as IEEE Transactions on Intelligent Transportation Systems and AAAI conferences, demonstrating strong technical rigor and relevance to real-world transportation challenges. A significant portion of his research contributes to UN Sustainable Development Goals related to sustainable cities and climate action.
Notable scientific contributions include:
- Taxonomy and survey of eco-friendly route planning algorithms
- Efficient public transport routing using transfer connection databases
- Advancements in multi-agent path finding beyond pairwise constraints
- Exact and dynamic shortest path computation for electric vehicles
Dr. Shen actively collaborates with leading researchers including Muhammad Aamir Cheema, Daniel Harabor, and Peter Stuckey. While no formal advising or grant information is available in the text, his publication volume and co-authorship network suggest active involvement in funded research projects and potential mentorship roles within the department.
He is affiliated with a vibrant research group in data science and AI at Monash University, contributing to advancements in intelligent transportation systems and combinatorial search algorithms.
