Güzi̇n Bayraksan

Güzin Bayraksan works on stochastic and robust optimization, which involves making good decisions when future data or conditions are uncertain. Her recent work develops methods that use contextual information (like weather patterns or covariates) to improve decisions in areas such as power system scheduling, water resource allocation, and electric vehicle charging infrastructure planning. Much of this research is mathematical and methodological, focusing on proving theoretical guarantees and building solution algorithms for these optimization problems.

Publication output has been steady to slightly growing over the past decade, averaging about 3 publications per year over the last five years with a modest increase toward 2024-2026.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026