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An Investigation on Development of Novel Switched Capacitor Converter Topologies with Reduced Ratings for DC-AC & DC-DC Power Conversion
Switched Mode Power Converters (SMPCs), which utilize switches and passive components, are the standard for energy conversion in medium and high-power applications. These converters can be classified as isolated or ...
Learning from Limited and Imperfect Data
Deep Neural Networks have demonstrated orders of magnitude improvement in capabilities over the years after AlexNet won the ImageNet challenge in 2012. One of the major reasons for this success is the availability of ...
Improving Efficiency of Perovskite and Silicon Solar Cells by Reducing Surface Recombination, Bulk Recombination, and Thermalization Losses
Solar photovoltaic (PV) technology stands at the forefront of renewable energy solutions, driven by the urgent need to mitigate climate change and secure sustainable energy sources. As the demand for cleaner energy ...
Sparsification of Reaction-Diffusion Dynamical Systems on Complex Networks
Graph sparsification is an area of interest in computer science and applied mathematics. Spar-
sification of a graph, in general, aims to reduce the number of edges in the network while
preserving specific properties of ...
An arbitrary lagrangian eulerian volume of fluid method for floating body dynamics simulation
The floating body dynamics is treated as a Fluid-Structure Interaction (FSI) problem. A FSI problem is where the forces from the fluid move/deform the interacting structure, and the movement of the structure, in turn, ...
Study of Human Safety-centric Strategies for Human-Robot Coexistence
With the increasing integration of robots into various domains and their coexistence with humans, ensuring human safety has become a critical concern. This thesis highlights the challenges associated with human safety in ...
Development of Novel Deep Learning Models with Improved Generalizability for Medical Image Analysis
Medical imaging is a process of visualization of disease/tissue in a non-invasive manner. Several imaging techniques like computed tomography (CT), magnetic resonance imaging (MRI), optical coherence tomography (OCT), and ...
New Dimension in Senescence: Unraveling Cellular Senescence in Three-Dimensional Scaffolds
Aging is a ubiquitous process that results in the progressive and irreversible loss of
function. It is induced by accumulating damage caused by a variety of stressors, both internal
and external. Although the advancement ...
Deeply Scaled InAlN/GaN-on-Silicon High Electron Mobility Transistors for RF Applications
Wide bandgap gallium nitride (GaN) based high electron mobility transistors (HEMTs) are promising candidates for next-generation radio frequency (RF) power amplifier applications owing to high electron saturation velocity ...
Integrating Coarse Semantic Information with Deep Image Representations for Object Localization, Model Generalization and Efficient Training
Coarse semantic features are abstract descriptors capturing broad semantic information in an
image, including scene labels, crude contextual relationships between objects in the scene, or
even objects described using ...