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Ingyu Lee
 





Assistant Professor
Sorrell College of Business
Troy University
212, Bibb Graves Hall
Troy, AL, 36081
Email: inlee @ troy . edu
 


My research concerns developing an efficient scientific computing algorithms using high performance computing architectures and its applications to real world problems. This research enables computational modeling and simulation to understand complex systems or phenomena as a complementary to the traditional approaches of theory and experiment. These scientific and engineering phenomena could be described by nonlinear partial differential equations whose solution time is dominated by a sparse linear solver. Consequently, an efficient sparse linear solver optimally utilizing cache hierarchies and data partitioning for multiprocessors enables large scale scientific and engineering simulations. The demand for efficient sparse linear solvers are increased with the popularity of computational modeling and simulation. In addition, my research lies on applying these computational algorithms to solve a variety of real world problems including information retrieval and data mining to create knowledge out of structured or unstructured data, computational finance to compute option pricing and portfolio management, and decision support systems to provide an optimal solution using mathematical modeling. Along with the popularity of Internet, we have tremendous data in various formats. My research concerns on extracting useful information out of this tremendous data using mathematical models and linear algebra algorithms.

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