As Science Advisor to MJB, Dr. Golabi specializes in designing optimization models and solution methods for large-scale, complex, multi-objective decision problems. During the last twenty-five years, the focus of his work has been on the design and development of planning, optimization and risk management systems for infrastructure and energy networks. He has also contributed to the theory and application of stochastic dynamic systems, probabilistic inventory theory, multi-objective optimization models, and economic models for energy and natural resources. Dr. Golabi is President and Chief Scientist of Optima, Inc, and has served as consultant and advisor to numerous international and national organizations, foreign governments, state agencies, research institutes and corporations. He has won the Franz Edelman Prize, awarded by the the Institute for Operations Research and the Management Sciences, and has been published widely. Dr. Golabi received a BS in Process Engineering from the Abadan Institute of Technology, Iran, an MS in Industrial Engineering and Operations Research from the University of California, Berkeley, and a Ph.D. in Management Science/Operations Research from the University of California, Los Angeles.