Browsing Division of Electrical, Electronics, and Computer Science (EECS) by thesis submitted date"2023"
Now showing items 21-40 of 63
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Fragile Interpretations and Interpretable models in NLP
Deploying deep learning models in critical areas where the cost of making a wrong decision leads to a substantial financial loss, like in the banking domain, or even loss of life, like in the medical field, is significantly ... -
Generalized Likelihood Ratio Procedures for Early Detection of Machine Faults
Condition monitoring of industrial machinery is an important example of a cyber physical system (CPS), in which measurements on a machine, transmitted over a wireless network, are used to make inferences about the health ... -
Graph Clustering Approaches for Speaker Diarization of Conversational Speech
In this era of advanced machine intelligence, real-world speech applications need to be equipped to deal with conversations involving multiple speakers. An essential first step in speech information extraction from ... -
High Dimensional Quantum Information Technology Using Photonics: Protocol Development and Implementation Schemes
This thesis explores the realm of high-dimensional quantum information processing through the lens of photonics, focusing on developing and implementing quantum technologies based on d-level quantum systems known as qudits. ... -
High-Level Synthesis of Geant4 Particle Transport Application for FPGA
Geant4 is a software toolkit that simulates particle transport in matter and is widely used in high energy, nuclear, and medical physics applications. The toolkit offers a wide range of physics models and geometry ... -
Improved approximation bounds on maximum edge q coloring of dense graphs
The anti-Ramsey number ar(G,H) with input graph G and pattern graph H, is the maximum positive integer k such that there exists an edge coloring of G using k colors, in which there are no rainbow subgraphs isomorphic to ... -
Index Coding over Noisy Channels and Some Applications
A broadcast channel that is very effective for disseminating common content becomes highly inefficient when the users request different content. To address this inefficiency of the broadcast channel over which a server ... -
Integrated Optic Waveguide Bragg Grating Devices in Silicon-on-Insulator and Their Applications: Design, Analysis and Fabrication
Integrated Waveguide Bragg Gratings are on-chip counterparts of Fiber Bragg Gratings. The working principles are similar, and functionalities could be explained with Coupled Mode Theory. Periodic index contrast required ... -
Integrated Photonic Devices in Near-IR to Mid-IR for Agricultural and Environmental Sensing Applications
Near to mid infrared (NIR-MIR) chemical sensing is a remarkably influential analytical technique that capitalizes on the interaction between matter and infrared radiation within a specific wavelength range. Predominantly ... -
Investigations on Extending the Linear Modulation Range of Multilevel Inverter Fed Induction Motor Drives
Multilevel inverter topologies find extensive industrial and automobile applications due to their utilization of lower voltage-rated switches and enhanced harmonic performance. Incorporating Pulse Width Modulation (PWM) ... -
Investigations on Voltage Control of Stacked DC-link Series Capacitors with a Nine-Level Inverter for an Induction Motor Load
Multilevel Inverters offer several advantages over two-level inverters in applications involving medium voltage and high power levels. A variety of applications are now available for MLI technology, ranging from variable ... -
A Learnable Distillation Approach For Model-agnostic Explainability With Multimodal Applications
Deep neural networks are the most widely used examples of sophisticated mapping functions from feature space to class labels. In the recent years, several high impact decisions in domains such as finance, healthcare, law ... -
Maximum Independent Set of Rectangles - An Empirical Study
We study the Maximum Independent Set of Rectangles (MISR) problem. The problem involves a collection of n axis-parallel rectangles in 2D with weights. For the unweighted case, the goal is to find the maximum number of ... -
An MLIR-Based High-Level Synthesis Compiler for Hardware Accelerator Design
The emergence of machine learning, image and audio processing on edge devices has motivated research towards power-efficient custom hardware accelerators. Though FPGAs are an ideal target for custom accelerators, the ... -
Modeling of Lightning Attachment to Aircraft and a Novel Methodology to Quantify Strike Rate
Air transport plays a vital role in global economic growth and long-distance commutation. The aviation industry is found to double its fleet size every fifteen years. According to Air Transport Action Group (ATAG), 45 ... -
Multimodal sleep staging and diagnosis of sleep disorders
Sleep is not a single uniform state, but rather a cyclical pattern involving multiple stages such as rapid eye movement (REM) and non-REM (NREM stages N1, N2, and N3). Polysomnography (PSG) is considered as the gold standard ... -
Novel Algorithms for Improving Agricultural Planning and Operations using Artificial Intelligence and Game Theory
This dissertation work is motivated by the critical need to address a perennial global problem, namely, how to mitigate the distress of the small and marginal agricultural farmers in emerging economies. Key reasons behind ... -
Opacity and its Trade-offs with Security in Linear Dynamical Systems
Opacity is notion of privacy that is well-studied in computer science and discrete-event systems. In our work, we extend the opacity notion to linear dynamical systems. Opacity describes an eavesdropper’s inability to ... -
Performance Analysis of Orthogonal Time Frequency Space Modulation in High-Doppler Channels
Next generation wireless systems are envisioned to offer dependable and consistent user experience across a wide range of environments, including high-mobility scenarios involving high-speed trains, aircrafts, and ... -
Privacy in Information Retrieval, Delivery and Distributed Computing
The aim of our work is to address the challenges of privacy in information retrieval, information delivery, and in distributed computing systems. We focus on reducing the download and upload costs and decreasing the ...