About Our Lab
Our research aims to enhance the understanding of complex energy systems and to bridge the gap between power systems and nonlinear complex networks. We use a variety of tools and techniques, including control theory, complex networks, machine learning, and optimization. Specifically, our work focuses on discovering new theories, algorithms, and applications for improving power system stability and integrating energy storage systems.
We have an open Ph.D. student position available for Fall 2025 for candidates with a background in Control Theory or Nonlinear Systems. Familiarity with power systems stability or inverter design would be an added advantage.
- To apply, please send your resume and a writing sample (such as an IEEE paper or your M.S. thesis) to ziang.zhang@binghamton.edu. Be sure to include “prospective student” in the email subject line; this serves as a code to confirm that you’ve read the website.
- Candidates with a suitable background will be notified regarding the next steps in the application process.