Shangyan Zou

Contact

shangyan@mtu.edu
906-487-2129
R. L. Smith 802

Assistant Professor, Mechanical and Aerospace Engineering

PhD, Mechanical Engineering-Engineering Mechanics, Michigan Technological University

Biography

Dr. Zou is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at Michigan Technological University (MTU). Prior to this appointment in 2022, he was a Postdoctoral Researcher in the Department of Civil and Construction Engineering at Oregon State University (OSU) from 2021 to 2022. And he was a Postdoctoral Researcher in the Department of Aerospace Engineering at Iowa State University (ISU) before joining the Pacific Marine Energy Center at OSU (from 2018 to 2021). He received his PhD in the Department of Mechanical Engineering-Engineering Mechanics at MTU in 2018. Dr. Zou has research interests in dynamics and control with applications to ocean renewables, multi-agent systems (autonomy), machine learning, optimization, and state estimation. Dr. Zou has a strong interest in making renewable energy more economically viable in the future energy market. He currently serves as the guest editor of the special issue of the journal Electronics. In addition, he also serves as the session chair of the 16th International Conference on Motion and Vibration Control (IFAC-MoVic 2022).

PhD Funded Student Position Available in Marine Renewable Energy

Seeking applications for 1 PhD student in the area of marine renewable energy (e.g., offshore wind, wave) and control (or machine learning). The student will receive full financial support including a stipend and tuition coverage. The candidate will be working with the research group lead by Dr. Shangyan Zou investigating the modeling, control, networking, and swarm behavior of marine renewable energy systems to improve the economic index of marine renewables.

Learn More and Apply

Areas of Expertise

Dynamics and Control
Wave-Structure Interaction
Multi-Agent Systems
State Estimation

Research Interests

Dynamics modeling and control of ocean renewable systems
Swarm behavior of networked marine energy systems
Fluid-structure interaction of soft ocean energy converters
Control and automation of unmanned underwater vehicles

Recent Publications

Shangyan Zou, Xiang Zhou, Irfan Khan, Wayne W. Weaver, and Syed Rahman, Optimization of the Electricity Generation of a Wave Energy Converter Using Deep Reinforcement Learning, Ocean Engineering, vol. 244, pp. 110363, 2022, doi: https://doi.org/10.1016/j.oceaneng.2021.110363
Shangyan Zou and Ossama Abdelkhalik, ''Modeling of a Variable-Geometry Wave Energy Converter,'' IEEE Journal of Oceanic Engineering, pp. 1-12, Sept. 2020, doi: 10.1109/JOE.2020.3016073
Shangyan Zou and Ossama Abdelkhalik, ''Collective Control in Arrays of Wave Energy Converters,'' in Renewable Energy, vol. 156, pp. 361-369, Aug. 2020, doi: https://doi.org/10.1016/j.renene.2020.04.069.
Shangyan Zou and Ossama Abdelkhalik, ''Consensus Estimation in Arrays of Wave Energy Converters,'' in IEEE Transactions on Sustainable Energy, vol. 10, no. 2, pp. 943-951, July 2018, doi: 10.1109/TSTE.2018.285 6118
Shangyan Zou, Ossama Abdelkhalik, Rush Robinett, Giorgio Bacelli, and David Wilson, ''Optimal control of wave energy converters.'' in Renewable Energy, vol. 103, pp. 217-225, Apr. 2017, doi: https://doi.org/10.101 6/j.renene.2016.11.036

Teaching Experience

Dynamic Systems and Control
Linear Systems
Nonlinear Systems