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HUMAN PANCREAS AND LIVER MATHEMATICAL MODELING FOR NORMAL AND DISEASED STATE STUDIES
(Johns Hopkins University, 2018-05-15)
Recent advances in biology, biochemistry, and medicine allow us to study – both qualitatively and quantitatively - the human body’s response to a variety of perturbations. So, for example, we know quantitatively what will ...
Optimization with mixed-integer, complementarity and bilevel constraints with applications to energy and food markets
(Johns Hopkins University, 2018-10-23)
In this dissertation, we discuss three classes of nonconvex optimization problems, namely, mixed-integer programming, nonlinear complementarity problems, and mixed-integer bilevel programming.
For mixed-integer ...
Information Exchange and Conflict Resolution in Particle Swarm Optimization Variants
(Johns Hopkins University, 2018-04-13)
Single population, biologically-inspired algorithms such as Genetic Algorithm and Particle Swarm Optimization are effective tools for solving a variety of optimization problems.
Like many such algorithms, however, they ...
MACHINE LEARNING AND OPTIMIZATION FOR HEALTHCARE AND ENERGY SYSTEMS
(Johns Hopkins University, 2018-05-11)
Healthcare and energy systems provide critical service to our society. Recent advancement in information technology has enabled these systems to keep retrieving and storing data. In this dissertation, we used machine ...
HUMAN BRAIN, MUSCLE AND ADIPOSE TISSUES MATHEMATICAL MODELING FOR NORMAL AND DISEASED STATE STUDIES
(Johns Hopkins University, 2018-05-15)
Recent advances in biology, biochemistry, and medicine allow us to study – both qualitatively and quantitatively - the human body’s response to a variety of perturbations. So, for example, we know quantitatively what will ...