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Browsing by Author "Hien Tran, Co-Chair"

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    A Comparison of Physiologically-Based Pharmacokinetic (PBPK) Models of Methyl-Tertiary Butyl Ether (MTBE).
    (2017-12-07) Smith, Nikki Shavon; Hien Tran, Co-Chair; Marina Evans, Co-Chair; Leonard Stefanski, Graduate School Representative; Jesus Rodriguez, Member; Xiao-Biao Lin, Member
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    Blood Glucose Forecasting: Data-driven Model, Physiological Model, and Hybrid Approaches.
    (2021-07-01) Zhang, Meng; Hien Tran, Co-Chair; Kevin Flores, Co-Chair; Arvind Krishna Saibaba, Member; Alun Lloyd, Member; Paul Williams, Graduate School Representative
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    Compartmentalizing the Sunlight Vitamin: Physiologically Based Pharmacokinetic Modeling and Vitamin D.
    (2013-06-20) Sawyer, Megan Elizabeth; Hien Tran, Co-Chair; Marina Evans, Co-Chair; John Franke, Member; Alun Lloyd, Member; Huaiyu Dai, Graduate School Representative
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    Modeling Heart Rate Regulation by the Baroreflex.
    (2014-11-05) Haargaard Olsen, Christian; Mette Olufsen, Co-Chair; Hien Tran, Co-Chair; Ralph Smith, Graduate School Representative; Ralph Smith, Member; Johnny Ottesen, Member; Jesper Mehlsen, External
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    Monte Carlo Techniques for Predicting Electron Backscattering
    (2001-12-17) Kapraun, Dustin F.; Fred Lado, Chair; Hien Tran, Co-Chair; Michael Paesler, Member
    The objective of this research is to develop and implement an algorithm that can accurately and efficiently predict backscatter yield and the trajectories and energies of electrons backscattered by solids. Taking into account the energy and direction of an incident electron, as well as the atomic number, atomic mass and density of the solid, our program determines a statistically reasonable path for the electron through the solid via Monte Carlo techniques. Such a model can and has been used in a variety of applications, but in this case we are interested in predicting the behavior of backscattered electrons. When applied to large numbers of electrons, the program provides statistically accurate results. In particular, excellent agreement is seen between the backscatter coefficients measured by Hunger and Kuchler and those predicted by our program. Furthermore, the angular distributions and energy distributions of backscattered electrons predicted by our program are consistent with those measured by Bishop.
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    Nonlinear Feedback Controllers and State Estimators: Theory Applications, and Real-Time Implementation.
    (2020-05-11) King, Ethan Andrew; Hien Tran, Co-Chair; Tien Khai Nguyen, Co-Chair; Kazufumi Ito, Member; Jason King, Graduate School Representative; Kevin Flores, Member
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    Optimal Feedback Strategies of a Debt Management Problem and Fine Regularity for Nonlocal Balance Law.
    (2021-06-02) Gilmore, Steven J; Hien Tran, Co-Chair; Tien Khai Nguyen, Co-Chair; Roger Mayer, Graduate School Representative; Lorena Bociu, Member; Alina Chertock, Member

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