The Systems Optimization and Computing Laboratory (SOCL) explores the potential of mathematical programming techniques to solve various optimization problems. SOCL encourages interdisciplinary research with engineers, scientists, mathematicians, and industrial representatives. We focus on developing robust mathematical models, computational algorithms, and related software to make significant contributions to industry while maintaining high quality academic research. Current projects include robust optimization approach in radiation treatment planning, optimization applications in radiotherapy, optimization in hazardous material transportation, and stochastic dynamic programming models in inventory control.


SOCL will eventually evolve into a center for applied optimization and systems engineering (CAOSE). CAOSE will be an interdisciplinary center for joint research and development among faculty members and industrial representatives in engineering, science, mathematics, and business. Annual conference will be held in Houston to exchange ideas and further collaboration.