CV

Education

Worcester Polytechnic Institute, Worcester, MA, USA
PhD in Robotics Engineering | GPA: 4.0/4.0 | August 2025 - Present

University of Wisconsin-Madison, Madison, WI, USA
Master of Science in Mechanical Engineering (Research-track) | September 2022 - May 2024

Eidgenössische Technische Hochschule Zürich (ETH Zurich), Zurich, Switzerland
Visiting Student | May 2023 - September 2023

Beijing University of Chemical Technology, Beijing, China
Bachelor of Engineering in Automation | September 2017 - July 2021

Experience

Contract-based Hierarchical Multi-rate Control Framework
Research Assistant | Advisor: Prof. Xiangru Xu, ARC Lab, University of Wisconsin-Madison | April 2022 - May 2024

• Proposed a hierarchical multi-rate control framework involving robust MPC, control barrier function (CBF), and linear matrix inequality
• Proved the recursive feasibility of the proposed framework

Koopman Operator-based Data-Driven Predictive Control For Nonlinear Systems
Semester Project | Advisor: Mingzhou Yin, Prof. Roy S Smith, Automatic Control Lab, ETH Zurich | May 2023 - September 2023

• Implemented a kernel-based learning technique to learn a data-driven representation of a nonlinear system
• Proposed a constraint tightening generation to minimize the effect of generalization error

Smart Power Supply For UAV Agility Enhancement Using DNN
Remote Research Intern | Advisor: Prof. Rui Liu, CRAI, Kent State University | December 2020 - September 2021

• Proposed a mechanism in hardware and learning algorithms architecture to enable UAV agile obstacle avoidance
• Trained two deep neural networks, Graph NN and Bayesian NN, to predict the UAV power consumption
• Validated the effectiveness of the method via simulations based on ROS+Gazebo

Learning Control Algorithm Design for Distributed System
Research Assistant | Advisor: Prof. Dong Shen, DAI, Renmin University of China (RUC) | April 2019 - November 2020

• Proposed a collaborative learning MPC method for decentralized systems to achieve optimal control result
• Proved the related property, including feasibility, convergence along time axis, convergence along iteration axis, and optimality, to demonstrate the effectiveness of CLMPC

Publications

Chen Liu, Xiaoe Ruan, Yanze Liu, Chiang-Ju Chien. "Optimization-based iterative learning control scheme for point-to-point tracking of nonlinear systems." Nonlinear Dynamics 113.3 (2025): 2487-2503.

Yanze Liu, Xuhui Chen, Mengsha Hu, Yibei Guo, Yanhai Du, Xuhui Chen, Rui Liu. "Smart Hybrid Power Supply for UAV Agility Enhancement Using Deep Neural Networks." arXiv preprint arXiv:2201.02838 (2022).

Yanze Liu, and Shen Dong. "An efficient algorithm for collaborative learning model predictive control of nonlinear systems." ISA transactions 121 (2022): 1-10.

Dong Shen, Yanze Liu, Qijiang Song. "Collaborative Tracking Systems Using Decentralized Iterative Learning Control." The 39th Chinese Control Conference (CCC), Shenyang, China, 27-29 July, 2020.

Skills

Programming Languages & Tools: Python, PyTorch, MATLAB, ROS, C++