Browsing Division of Electrical, Electronics, and Computer Science (EECS) by thesis submitted date"2022"
Now showing items 1-20 of 47
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2-Level Page Tables (2-LPT): A Building Block for Efficient Address Translation in Virtualized Environments
Efficient address translation mechanisms are gaining more and more attention as the virtual address range of the processors keeps expanding and the demand for machine virtualization increases with cloud and data center-based ... -
Achieving practical secure non-volatile memory system with in-Memory Integrity Verification (iMIV)
Recent commercialization of Non-Volatile Memory (NVM) technology in the form of Intel Optane enables programmers to write recoverable programs. However, the data on NVM is susceptible to a plethora of data remanence attacks, ... -
Algorithms and Testbed for Synchronous Generator Parameter Estimation
The development of dynamic power system component models became increasingly important in the modern grids dominated by high penetration of renewables because of the increased dependency of planning and operational decisions ... -
Atomic-level Investigation and Proposals to Address Technological Roadblocks and Reliability Challenges in 2D Material Based Nanoelectronic Devices
The transistor scaling is witness to many extraordinary inventions during its consecutive miniaturization. The journey began from Dennard’s classical constant field scaling, crossing through the milestones like strain ... -
Charge Density Wave-driven Carrier Transport in Layered Heterostructures
Metal-based electronics remain one of the longstanding goals of researchers to achieve ultra-fast and radiation-hard electronic circuits. Generally, metals are primarily used as passive conductors in modern electronics and ... -
Compression for Distributed Optimization and Timely Updates
The goal of this thesis is to study the compression problems arising in distributed computing systematically. In the first part of the thesis, we study gradient compression for distributed first-order optimization. We ... -
A Context-Aware Neural Approach for Explainable Citation Link Prediction
Citations have become an integral part of scientific publications. They play a crucial role in supporting authors’ claims throughout a scientific paper. However, citing related work is a challenging and laborious task, ... -
Design, Fabrication and Characterization of ZnO based Thin Film Schottky Diodes and Transistors
The thesis focuses on the development of thin film Schottky diodes and thin film transistors (TFTs) based on ZnO. ZnO has been recognized as a promising candidates for the next generation of transparent and flexible ... -
Development of Microneedles for Transdermal and Intradermal Drug Delivery
Transdermal drug delivery has an enormous potential for painless therapeutics. Many drugs designed for systemic action are more efficient when delivered through the skin compared to oral administration as their degradation ... -
Device-Circuit Reliability Co-Design in High voltage and Power devices
For the last four decades, silicon CMOS technology has captured a significant share in IC, smart power IC, SoC, and the power device market. But there is aggressive research on other materials such as graphene & similar ... -
Efficient and Convergent Algorithms for High-Fidelity Hyperspectral Image Fusion
Hyperspectral (HS) imaging refers to acquiring images with hundreds of bands corresponding to different wavelengths of light. HS imaging has a wide range of applications such as remote sensing, industrial inspection, ... -
Efficient Resource Allocation for Underlay Device-to-device Communication Networks with Limited Channel State Information
Device-to-device (D2D) communication is finding applications in future wireless networks such as vehicular networks and internet-of-things. It offloads traffic from the base station (BS), improves energy efficiency, and ... -
An Evaluation of Basic Protection Mechanisms in Financial Apps on Mobile Devices
This thesis concerns the robustness of security checks in financial mobile applications (or simply financial apps). The best practices recommended by OWASP for developing such apps demand that developers include several ... -
Explainable and Efficient Neural Models for Natural Language to Bash Command Translation
One of the key goals of Natural Language Processing is to make computers understand natural language. Semantic Parsing has been one of the driving tasks for Natural Language Understanding. It is formally defined as the ... -
Fast Algorithms for Max Cut on Geometric Intersection Graphs
In this work, we design fast algorithms for max cut on geometric intersection graphs. In the maximum cut (a.k.a., max cut) problem, the input is an undirected graph, and the goal is to partition the vertex set into two ... -
Graph Neural Networks with Parallel Local Neighborhood Aggregations
Graph neural networks (GNNs) have become very popular for processing and analyzing graph-structured data in the last few years. Using message passing as their basic building blocks that aggregate information from neighborhoods, ... -
Hardware-based Device Identification for Systems with Commercially Off-the-shelf Components
The Identity of an electronic device is a fundamental property, that bootstraps several applications such as authentication and traceability. For the purpose of device identification, conventional methods generate a unique ... -
High-Throughput Computational Techniques for Discovery of Application-Specific Two-Dimensional Materials
Two-dimensional (2D) materials have revolutionized the field of materials science since the successful exfoliation of graphene in 2004. Consequently, the advances in computational science have resulted in massive generic ... -
Improved air-tissue boundary segmentation in real-time magnetic resonance imaging videos using speech articulator specific error criterion
Real-time Magnetic Resonance Imaging (rtMRI) is a tool used exhaustively in speech science and linguistics to understand the dynamics of the speech production process across languages and health conditions. rtMRI has two ... -
Improved Algorithms for Variants of Bin Packing and Knapsack.
We study variants of two classical optimization problems: Bin Packing and Knapsack. Both bin packing and knapsack fall under the regime of "Packing and Covering Problems". In bin packing, we are given a set of input items, ...