AI for Energy and Energy for AI
Our goal is to ensure that the energy sector can not only accommodate the rapid growth in electricity demand driven by AI technologies, but also harness AI itself to improve […]
Honghui Zheng is a first-year PhD student in Civil and Systems Engineering (CaSE), Ralph O’Connor Sustainable Energy Institute (ROSEI), and the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University. He is passionate about learning to optimize, decision-focused learning, and optimal control for sustainable energy systems. Honghui’s research focuses on developing optimization-aware learning architectures that integrate machine learning with optimization theory to enable real-time, high-quality decision-making for energy infrastructure. His work aims to bridge computational efficiency and solution optimality in energy systems engineering.