معرفی
Jiming Peng is an Associate Professor in the Department of Industrial Engineering at the University of Houston's Cullen College of Engineering. His work focuses on optimization modeling, algorithm design, and their applications in healthcare systems, financial engineering, energy systems, and big data analytics. He holds a PhD and has contributed extensively to scientific computing through innovative optimization frameworks.
His research addresses complex challenges such as battery energy storage system planning, mobile health clinic deployment, and financial systemic risk management. Notable contributions include developing biconvex optimization models for energy storage investments, stochastic optimization approaches for portfolio execution, and multi-period curve fitting for pandemic forecasting.
Peng's methodologies span nonlinear programming, integer programming, and robust optimization, with applications in electricity markets, healthcare logistics, and cybersecurity. His work bridges theoretical advancements with practical implementations in smart grids, financial networks, and public health systems.
Recent publications emphasize energy arbitrage models, decentralized power distribution systems, and strategic investments in renewable energy infrastructure. His algorithms have been applied to improve decision-making under uncertainty in various sectors.
No scientific awards or grants are explicitly mentioned in the provided texts. His advising and collaborations focus on optimization-based solutions, though specific student names or grant details are not listed here.
