Ramtin Madani, Ph.D.

Research Interests:

• Energy: Optimization and machine learning algorithms for power grids
• Control: Decentralized and distributed control
• Optimization: Parallelizable numerical algorithms for distributed platforms, Computational methods for nonlinear and discrete optimization

Funded Research Topics & Sponsoring Agency(ies):

• Massively Scalable Computational Methods for Power System Scheduling (NSF)
• Reliable and Massively Scalable Grid Optimization via Low-complexity Convex Relaxation (U.S. Department of Energy ARPA-E)

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