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Communication Overlapping Krylov Subspace Methods for Distributed Memory Systems
Many high performance computing applications in computational fluid dynamics, electromagnetics etc. need to solve a linear system of equations $Ax=b$. For linear systems where $A$ is generally large and sparse, Krylov ...
Mitigating Domain Shift via Self-training in Single and Multi-target Unsupervised Domain Adaptation
Though deep learning has achieved significant successes in many computer vision tasks, the state-of-the-art approaches rely on the availability of a large amount of labeled data for supervision, collection of which is ...
Development of Solution Methodologies for Multi-Product, Multi-Component, Production-Inventory Planning Problem in a Component Remanufacturing Environment considering Backorders and Quantity Discounts
Closed loop supply chain has been an area of research which has evolved over the years. This thesis aims to address a problem in this domain, specifically from the perspective of an Original Equipment Manufacturer (OEM) ...
Gallium Oxide Vertical Power Devices - Modeling, Material Growth, and Hetero-epitaxial Integration with Silicon
𝛽-Ga2O3 is a candidate for a new generation of power semiconductors that can significantly lower the conduction losses and increase power density in the power converters. PFOM or power figure of merit (V2Br/Ron) is a ratio ...
Constrained Stochastic Differential Equations on Smooth Manifolds.
Dynamical systems with uncertain fluctuations are usually modelled using Stochastic Differential Equations (SDEs). Due to operation and performance related conditions, these equations may also need to satisfy the constraint ...
Data Driven Stabilization Schemes for Singularly Perturbed Differential Equations
This thesis presents a novel way of leveraging Artificial Neural Network (ANN) to aid
conventional numerical techniques for solving Singularly Perturbed Differential Equation (SPDE). SPDEs are challenging to solve with ...
Assessing protein contribution to phenotypic change using short, coarse grained molecular dynamics simulations
Understanding the functional mapping between genotype and phenotype is an important problem that has ramifications for various diseases. Various existing computational methods can infer these disease-related functional ...
Strain engineering of 2D NEMS for resonant sensing
2D material-based nanoelectromechanical systems have emerged as excellent tools for force measurement with extreme sensitivity levels. Most sensing methods with 2D nanoelectromechanical (2D NEMS) systems utilize frequency ...
Development and Performance Evaluation of the Flapping Wing with In-situ Piezoceramic Actuator
Unmanned Aerial Vehicles (UAV) are essentially automatic flight vehicles having dimensions, wingspan and airspeed, smaller than the conventional aerial vehicles. UAVs are employed widely in applications such as surveillance ...
Abstractions and Optimizations for Data-driven Applications Across Edge and Cloud
Modern data driven applications have a novel set of requirements. Advances in deep neural networks (DNN) and computer vision (CV) algorithms have made it feasible to extract meaningful insights from large-scale deployments ...