About me
Greetings🧚🏻♀️! My name is Xudong Wang, which means “sun rises from the east in the morning 🌅” in Chinese. I am a postdoctoral researcher in the Department of Civil Engineering at McGill University, working with Prof. Luis Miranda-Moreno and Prof. Lijun Sun. My research leverages data to drive innovation in intelligent and sustainable transportation systems, from highways 🚗 to bike-sharing networks 🚴♂️.
I specialize in applying/developing machine learning, statistical modeling, optimization, and transportation network analysis to uncover insights and create impactful solutions from vast, multi-modal transportation datasets. Dive deeper into my work on Google Scholar, LinkedIn, or reach out via email.
In my free time, I stay active through running and cycling, and I enjoy planting to bring a touch of nature into my space.
Recent News 🔥：
07/2024: Our paper “Headwind or tailwind? The evolution of bike-sharing and ride-hailing demand during the COVID-19 pandemic” has been accepted by the Journal of Transport Geography. [Full paper]
06/2024: Our paper “ Structured Tensor RPCA: Anomaly Detection in Traffic Data” has been accepted by the TRC-30 conference, to be held in Crete, Greece 🇬🇷. I’m excited to attend! [Full paper]
05/2024: I joined the IMaTS Lab at McGill University as a postdoctoral researcher 👩🏻💻.
01/2024: I have successfully passed my Ph.D. defense and am now officially a Ph.D.! 🎉 🥳
05/2023: My paper “Anti-circulant dynamic mode decomposition with sparsity-promoting for highway traffic dynamics analysis” has been accepted by Transportation Research Part C. [Full paper]
02/2023: My paper “Low-Rank Hankel Tensor Completion for Traffic Speed Estimation” has been accepted by IEEE Transactions on ITS. [Full paper]
01/2023: I presented three papers at TRB 2023 and had a fantastic week in Washington, D.C.! It was great to reconnect with old friends and meet new ones ☕️!