I'm Susu Xu (徐素素). I'm currently a Postdoctoral Research Fellow at Stanford University and adjunct assistant professor at Stony Brook University. Before that, I was a Machine Learning Researcher at Qualcomm AI research. I received my Ph.D. in Advanced Infrastructure Systems and M.S. in Machine Learning from Carnegie Mellon University, advised by Prof. Hae Young Noh and Prof. Pei Zhang. I got my Bachelor's degree in Engineering from Tsinghua University.

The foci of my research include mobile sensing, machine learning, urban computing, and smart infrastructure systems. I work on developing and deploying crowdsensing systems, machine learning algorithms, and incentive mechanisms to help understand urban dynamics and enable a self-adaptive smart city. I'm particularly interested in

(1) developing tools to improve efficiency and fairness of urban crowdsensing networks;

(2) developing collaborative and physics-informed machine learning algorithms for urban computing;

(3) designing incentive mechanisms for efficient and resilient urban infrastructure systems.

Target applications include spatio-temporal urban sensing and data mining (air pollution, traffic, noise), large-scale infrastructure monitoring (buildings, bridges, and railway tracks).

My [CV], [Google Scholar], and [Github].

I will become a tenure-track assistant professor at the Department of Civil Engineering, State University of New York at Stony Brook (Stony Brook University) in Jan, 2021. I'm currently looking for 1-2 Ph.D. students in Cyber-Physical Systems. The students are expected to start in Jan or Aug, 2021. Please feel free to contact me at susux at stanford dot edu, or Susu.Xu at stonybrook dot edu.