Upcoming Doctoral Dissertations

"Traditional graph theory has been widely adopted to address a broad range of graph-structured data problems. Recent advances in artificial intelligence have successfully integrated neural network techniques into network analysis. In particular, Graph Neural Networks (GNNs) have demonstrated remarkable effectiveness in learning node representations and identifying clustering patterns in graph-structured data." Read more

"In the acute respiratory distress syndrome (ARDS), a form of acute lung injury, inflammation increases the permeability of pulmonary capillaries. As a result, proteinaceous liquid leaks from the capillaries into the smallest pulmonary airspaces, the alveoli. The condition is known as alveolar edema. Additionally, surface tension at the interface of a thin liquid layer that lines the alveoli is elevated. Edema and elevated surface tension impair oxygenation." Read more

"Point cloud data is often acquired in biomechanical and industrial applications to synthesize custom-fit components that conform to existing surface geometries. Converting these scans into usable CAD models remains largely manual, and automated alternatives fit surfaces with a single loss function applied across the entire geometry, yielding representations whose smoothness and fit quality are neither controlled nor quantified." Read more

"Electron transport in semiconductors can be significantly influenced by external magnetic fields, giving rise
to magnetotransport phenomena such as the quantum Hall effect, spin–orbit coupling, and magnetoresistance.
These effects have attracted considerable interest due to their potential applications in next-generation
optoelectronic and spintronic devices. Among semiconducting systems, two-dimensional (2D) materials are
particularly promising because of their tunable electronic and magnetic properties, strong spin-orbit coupling,
and diverse crystal symmetries." Read more

"The three essays examine how executive incentives, internal pay structures, and corporate governance shape public firms. They study CEO compensation across firm life cycles, executive pay dispersion under financing constraints, and changes in CEO relative pay and power following TCJA-induced tax windfalls." Read more