معرفی
Dr. Xin Chen is an Assistant Professor in the Department of Electrical and Computer Engineering at Texas A&M University, leading the SPEED Lab. His research focuses on scalable learning-assisted control, distributed algorithms, and human-cyber-physical systems, particularly in advancing grid decarbonization and sustainable power systems. He holds a Ph.D. from Harvard University and postdoctoral experience at MIT.
Dr. Chen received notable awards including the IEEE PES Outstanding Doctoral Dissertation Award and multiple best paper awards. His work integrates control theory, optimization, and machine learning to address challenges in power grid reliability and sustainability. Key contributions include model-free optimization frameworks, carbon-aware power flow models, and distributed inverter coordination.
Recent research highlights include developing regression-based zeroth-order optimization algorithms and carbon-aware demand response mechanisms. He has secured grants from the U.S. Department of Energy and NSF, addressing grid resilience and climate impacts. His lab collaborates on projects such as the Grid Resilience and Climate Change Impacts Analysis (GRACI) initiative.
