Prof. Shiqi(Shawn) Ou, is the head of the Transportation Research & AI-driven New-Energy Sustainability (TRANS) Laboratory. His research focuses on dynamic modeling and intelligent optimization of road, waterborne, and air transportation energy systems to support overall economy-wise carbon net zero strategy. The research centers on the coupling of alternative fuels vehicles including PEVs, connected and autonomous vehicles, energy storage, and the power energy market. It employs advanced methodologies such as transportation big data mining and analysis, AI, operations research, and multi-threaded parallel computing.
The team develops multi-powertrain system simulation and optimization models reflecting real-world conditions and vehicle driver travel behaviors. These models integrate mathematical modeling and AI algorithms to quantify transportation market energy demand, life-cycle energy consumption, and carbon emissions under various vehicle powertrain technologies and energy policies. This research aims to optimize vehicle energy efficiency, planning of recharging/refueling infrastructure, and total cost of ownership (TCO), while assessing life-cycle carbon emissions and resource allocation for different vehicle powertrain technologies. It also forecasts transportation demand and energy evolution, ultimately supporting and advancing national decarbonization goals in the transportation sector.
TRANS Lab recruits PhD and Master students annually, welcoming applicants from diverse STEM backgrounds, particularly those with expertise in computer science, engineering in transportation, electric or mechanical engineering. The team also actively seeks assistant professors, postdoctoral researchers, and research assistants to join its efforts.
Contact：
- Email： sou [at] scut [dot] edu [dot] cn，translab_scut [at] hotmail [dot] com
- Address： School of Future Technology, South China University of Technology