Systemic Decision-making in Freight Electrification Under Uncertainty

Abstract: Electrifying heavy-duty logistics faces significant hurdles due to high energy requirements and infrastructure limitations. This presentation outlines systemic strategies to address these issues, specifically examining decision-making frameworks for infrastructure design, energy-aware routing, and real-time station management. By introducing our optimization and modeling methods, the speaker will provide practical insights into the multi-level decision-making challenges currently hindering freight electrification.

About the Speaker: Ruiting WANG is currently a Postdoctoral Fellow at KTH Royal Institute of Technology. She received her Ph.D. degree in Systems Engineering from the University of California, Berkeley, and her B.S. degree in Building Energy Engineering from Tsinghua University. Her work bridges technology and policy, using control, optimization, and machine learning to design robust societal-scale systems with applications in urban energy systems, intelligent transportation networks, and electric vehicle markets. She was selected as a Rising Star in Mechanical Engineering by MIT, and a Trailblazer in Engineering Fellow by Purdue University in 2025. She is also the recipient of the Energy System Best Paper award (as student) at American Control Conference 2024, and Best Paper Award (as mentor) at IEEE Forum for Innovative Sustainable Transportation Systems 2026.