معرفی
Bo Sun is a Postdoctoral Scholar and Sessional Lecturer at the University of Waterloo. His research focuses on online algorithms, resource allocation, energy systems optimization, and machine learning applications. He is affiliated with the Post Doctoral Scholars, Visitors, and Sessional Lecturers groups at the institution. His work bridges theoretical computer science with practical challenges in energy networks, telecommunications, and distributed systems.
Key research interests include developing fair and efficient algorithms for dynamic resource allocation problems, integrating machine learning predictions into competitive online algorithms, and optimizing spatiotemporal workloads with carbon-aware strategies. His publications address topics like group fairness in multi-class systems, carbon footprint reduction in workload management, and energy-efficient resource allocation in 5G networks.
Recent work has explored Pareto-optimal algorithms for energy markets, robust online mechanisms with switching costs, and uncertainty-quantified predictions in algorithm design. Despite prolific publication activity, no scientific awards or grants are explicitly mentioned in the provided information.
Bo Sun advises no formally listed students but has contributed to collaborative projects involving electric vehicle networks, battery swapping stations, and microgrid energy management. His research often involves interdisciplinary approaches combining operations research, computer science, and applied mathematics to solve real-world optimization challenges.
