Browsing Division of Electrical, Electronics, and Computer Science (EECS) by thesis submitted date"2023"
Now showing items 1-20 of 65
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Adaptive Wideband Microwave Signal Processing Using Reconfigurable Integrated Photonics
The advancement of wireless communications in domains such as satellites, radars, 5G, and future technologies necessitates the utilization of broadband microwave and millimeter wave signal processing. Unlike their electronic ... -
Algorithmic Problems on Vertex Deletion and Graph Coloring
In the thesis, we mainly discuss variants of two well-studied graph theoretical problems - vertex deletion problem and graph coloring problem - both have been used to tackle many real-world problems in diverse fields. Vertex ... -
Algorithms for Achieving Fairness and Efficiency in Matching Problems
Matching problems arise in numerous practical settings. Fairness and efficiency are two desirable properties in most such real world scenarios. This dissertation work presents new approaches and models for capturing and ... -
Algorithms for Geometric Packing and Covering Problems
We study two fundamental problems related to geometric packing and covering, and design algorithms with improved worst-case performance guarantees for them. These problems have numerous applications in resource allocation, ... -
Algortihms for Individual and Collective Fairness Measures
The problem of fair allocation has been a central topic in economic theory, and the literature on fair division has provided fundamental insights on how to allocate resources among agents in a fair manner. By drawing upon ... -
Audio-Visual association learning in Humans and Multimodal Networks
We easily learn audiovisual associations when we give visual objects their names. While humans easily learn the names of new objects while retaining previously learned information, deep neural networks forget old ... -
Automatic speech recognition for low-resource Indian languages
Building good models for automatic speech recognition (ASR) requires large amounts of annotated speech data. Recent advancements in end-to-end speech recognition have aggravated the need for data. However, most Indian ... -
Average Reward Actor-Critic with Deterministic Policy Search
The average reward criterion is relatively less studied as most existing works in the Reinforcement Learning literature consider the discounted reward criterion. There are few recent works that present on-policy average ... -
Capacity Computation and Coding for Input-Constrained Channels
The setting of the transmission of information over noisy, binary-input, memoryless channels is today well-understood, owing to the work of several information theorists, beginning with Claude Shannon. It is known that it ... -
CodeQueries: Benchmarking Query Answering over Source Code
Software developers often make queries about the security, performance effectiveness, and maintainability of their code. Through an iterative debugging process, developers analyze the code to find answers to these ... -
Coding Schemes for Secure and Reliable DNA-Based Data Storage
In DNA-based data storage, the desired information is encoded into the quaternary sequence of synthetic DNA molecules, called oligos. We look at secure communication via information-containing oligos in the usual three-party ... -
Deep Learning Based Channel Estimation in Wireless Communications
Deep learning techniques which employ trained neural networks to solve problems have witnessed widespread adoption in diverse fields like medicine, architecture, robotics, autonomous vehicles, wireless communications, ... -
Dereverberation of Speech Using Autoregressive Models of Sub-band Envelopes
Automatic speech recognition (ASR) based technologies are radically changing the way we interact with digital services and information. Most of these application leverage on hands-free speech, where talkers are able to ... -
Developmental Studies on a Multistage Induction Coilgun-Based Electromagnetic Launcher
The archetypal chemical propellant-based launchers (e.g., guns, missiles, spacecraft launchers, etc.) with their hot trailing plume (hence, known as the “hot-launching system”) has been widely deployed over the decades by ... -
Dual-Mode Operation of Grid-tied Inverters: Modeling, Islanding Detection and Transfer of Control
Increased penetration of renewable energy sources like solar and wind is fundamentally altering the power flow dynamics in modern distribution networks. These distributed generations (DG) boost system reliability by enabling ... -
Electro-optically Tunable General-Purpose Microwave Photonic Processors: Platforms, Device Analysis, and Auto-routing Algorithms
Photonic Integrated Circuits (PICs) have been primarily developed as application-specific PICs (ASPICs), relying on time-consuming fabrication processes and exhibiting insertion losses between interconnected ASPICs. To ... -
Energy-efficient Hardware and Algorithmic Techniques for Design of Low-power Intelligent Systems
Low-power design techniques involving hardware and algorithms framework are a fundamental challenge of the modern electronic system. The internet connects devices (IoTs) with advanced capabilities in sensing and processing ... -
ESD Design for Advanced CMOS and Analog nodes
The study of Electrostatic Discharge (ESD) reliability within Integrated Circuits (IC) is crucial due to its direct influence on electronic device performance, longevity, and functionality. As semiconductor technology ... -
Event-Related Potential Interpretation Approaches for Neonatal Hearing Screening
Biopotentials are the electrical discharges generated from the human body. They reflect the status underlying the phenomenon and are frequently used to assess the real-time physiological status of the human body. ... -
Excitonic complexes in semiconducting monolayers and their twisted heterojunctions
Monolayers of transition metal dichalcogenides (TMDCs) host excitons, a bound state of electron and hole. Excitonic many-body complexes dominate the optical spectra obtained from this system and manipulating these complexes ...