Ruiting Wang earned her bachelor's degree in 2020 in building environment and energy engineering from Tsinghua University, China, and is set to graduate this summer from the University of California, Berkeley, with a PhD in systems engineering. Next up is a postdoctoral fellowship at KTH Royal Institute of Technology, Sweden. Her research has focused on data-driven optimal routing and charging of heavy-duty electric trucks. She has developed stochastic routing algorithms for heterogeneous truck fleets under energy uncertainty, addressed charging access disparities across diverse communities, and designed battery-swapping station networks for heavy-duty trucks in California. For this work, she won the Energy Systems Best Paper Award at the 2024 American Control Conference. As the speakers co-director with Beyond Academia (BA) at UC Berkeley, she has coordinated logistics, led speaker recruitment, and managed public outreach for two major conferences. Earlier this year, she was recognized with the Oski Student Leadership Award for Outstanding Graduate Student Organization. Her future research program will expand into new frontiers at the intersection of energy efficiency, system design, and human mobility. She also plans to introduce a seminar series to connect researchers across career stages, foster interdisciplinary dialogue, and expose students to cutting-edge experimentation. Wang believes that students learn best when they see purpose in their work and when learning goes beyond chasing grades and connects to real-world impact.

Research Interests

Electric vehicle, system design, optimization, control