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Fernando Ordonez is an Adjunct Research Professor at the Daniel J. Epstein Department of Industrial and Systems Engineering at the University of Southern California. He studied Mathematical Civil Engineering at the University of Chile, where he received his engineering degree in 1997. He further pursued his Ph.D. in Operations Research at the Massachusetts Institute of Technology, completing his studies in 2002. Prior to joining USC, Dr. Ordonez worked for several years as a Research Engineer at ENDESA, a leading electric utility company in Chile. His research interests include convex optimization, condition number theory, relevance complexity optimization, and sensitivity analysis, with a focus on practical predictive power. He is also adept in algorithms, high-performance computing, and robust optimization, and has made significant contributions to the application of optimization in areas such as pattern recognition, energy production planning, and structural design. Dr. Ordonez has presented papers at several prestigious conferences, including the AAMAS 2009, where he received recognition for his work in the industry track. He is actively involved in advancing research that applies operational and systems engineering principles to real-world challenges.
Requires general GRE for all graduate degrees.