Chin-Yao Chang


Research Activity per Year


Personal Profile

Chin-Yao Chang's research is mainly on control and optimization with applications to power systems and microgrids. Recent research focus areas are measurement-based algorithms, optimal power flow, and quantum computing. His research draws diverse methods from control theory, optimization, graph theory, integer programming, and networked control systems. 

Professional Experience

Postdoctoral Researcher, University of California, San Diego (2016–2018)

Education/Academic Qualification

Bachelor, Physics, National Taiwan University

PhD, Electrical and Computer Engineering, The Ohio State University


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Collaborations and Top Research Areas From the Past 5 Years

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