About Our Lab
Our research goal is to understand complex energy systems’ behavior and bridge the gap between power systems and nonlinear complex networks. Control theory, complex networks, reinforcement learning, and optimization are used to discover theories, algorithms, and applications. Energy storage systems and renewable energy systems are our main applications.
New Position in Fall 2022
I’m looking for a student with a background in Control Theory and Power System Stability Analysis to join our team. In addition, hands-on experience with Python is desired.
Please send your resume and a writing sample (an IEEE paper or your M.S. thesis) to firstname.lastname@example.org, with “prospective student” in your email title (Very important! This is our secret code, so I know you have read my website). Students with suitable backgrounds will be notified of the next step.