Geunyeong Byeon
Assistant Professor, School of Computing and Augmented Intelligence
Arizona State University
Optimization • Scientific Computing • Decision Making
My research develops mathematical and computational methodologies for optimization-based decision making, with particular interests in modular computational optimization, decomposition algorithms, optimization under uncertainty, distributed optimization, and modern energy systems.
Research Vision:
I seek to identify common mathematical and computational structure across optimization paradigms and translate it into reusable and extensible optimization methodologies. My long-term vision is to lower the barrier between a new decision-making idea and its mathematical, algorithmic, and computational realization.