Ziang Zhang

Ziang Zhang is an Associate Professor in the Department of Electrical and Computer Engineering at Binghamton University. His research focuses on complex energy systems, bridging power systems and nonlinear complex networks using control theory, graph theory, and optimization. Key areas include power system stability, energy storage integration, and real-time hardware-in-the-loop (HIL) simulations. He holds a BS from Beijing Institute of Technology, an MS from Purdue University, and a PhD from North Carolina State University, with postdoctoral experience at ABB US Corporate Research.

His research emphasizes enhancing grid resilience through advanced algorithms and machine learning. Notable projects include a $1.2 million NSF grant to assess power grid stability with increased renewables. He leads a lab offering PhD opportunities in control theory and nonlinear systems, with applications in power grid stability and inverter design.

Publications span topics like transient stability analysis, solar forecasting, and battery energy storage optimization. His work integrates theoretical frameworks with practical applications, addressing challenges in modern grid operations and renewable integration.