About Me

I am Zida! I am a Ph.D. candidate in the Department of Electrical and Computer Engineering at UCLA, under the supervision of Prof. Ankur Mehta. Before joining UCLA, I earned my Master's degree from Shanghai Jiao Tong University and my Bachelor's degree from Xidian University.

My research lies at the intersection of Robotics, Machine Learning, and Game theory, focusing on scalable and robust solutions for complex multi-agent systems. 

 My current work includes three main directions:

1. Decision-Making in Multi-Agent Systems with Mean Field Game Theory:

Develop reinforcement learning methods to achieve Nash equilibrium policies without solving PDE/HJB functions, spanning both continuous and discrete scenarios, addressing safety constraints. 

2. Active Estimation, Planning, and Modeling for Unknown Event Monitoring:

Enable a fleet of drones to actively cover and track dynamic events, including structured disasters (e.g. flooding) and unstructured events (e.g. crowd surges), involving coverage control, graph theory, hypothesis testing, and generative models.

3. Decentralized State and Input Estimation in Spatio-Temporal Sensor Networks:

Develop decentralized state estimation for mobile targets with unknown inputs (e.g. wind disturbance on airship) with continuous or discrete constraints, involving convex optimization, sensor fusion, Kalman filter, and consensus algorithms.

Both research directions emphasize scalability, allowing systems to handle hundreds or even thousands of mobile agents interacting or cooperating. 

Email: zdwu[at]ucla[dot]edu

Github; Linkedin; CV