Browsing Division of Electrical, Electronics, and Computer Science (EECS) by thesis submitted date"2021"
Now showing items 21-40 of 85
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Dynamics of a Stratified Population of Optimum Seeking Agents on a Network
Very large scale multi-agent systems occur both naturally and in engineering applications. In many of these systems, the agents are either selfish or act with varying levels of coordination. Understanding the evolution of ... -
Efficient Hardware Architectures for Error Correcting Codes Applicable to Data Storage
Error correcting codes (ECCs) are essential to transmission and data storage sys-tems to protect the information from errors introduced by noisy communication channels. There are two main classes of ECCs, namely algebraic ... -
Energy-Efficient Data Fusion Techniques for Wireless Sensor Networks
Wireless sensor networks (WSNs) are finding increasing use in applications such as environmental monitoring, military surveillance, and healthcare due to their low cost and ease of deployment. However, the nodes in a ... -
Enhancing Coverage and Robustness of Database Generators
Generating synthetic databases that capture essential data characteristics of client databases is a common requirement for enterprise database vendors. This need stems from a variety of use-cases, such as application testing ... -
ESD Reliability Physics and Reliability Aware Design of Advanced High Voltage CMOS & Beyond CMOS Devices
Electrostatic Discharge (ESD) reliability is one of the major reliability concerns in integrated circuits (IC), which if not addressed while designing devices and circuits, can lead to a permanent damage to the Integrated ... -
Excitons in monolayer transition metal dichalcogenides
Excitons are quasiparticles formed due to electrostatic attraction between the electrons and the holes in a semiconductor. This Coulomb attraction is very strong in the mono- layers of Transition Metal Dichalcogenides ... -
First principles-based study of monolayer WSSe and metal interface.
The semiconductor-metal interface is universal for any electron device. Two-dimensional semiconductors have the advantages of free dangling bonds and atomically flat surfaces, making them promising materials to substitute ... -
First-principles based study of graphene inserted tellurene-metal interface
Atomically thin two-dimensional (2D) materials have attracted extensive research interest since the journey started with the successful isolation of graphene in 2004. 2D materials have shown remarkable advancement in the ... -
A Framework for Privacy-Compliant Delivery Drones
We present Privaros, a framework to enforce privacy policies on drones. Privaros is designed for commercial delivery drones, such as the ones that will likely be used by Amazon Prime Air. Such drones visit a number of host ... -
Generalizing Cross-domain Retrieval Algorithms
Cross-domain retrieval is an important research topic due to its wide range of applications in e-commerce, forensics etc. It addresses the data retrieval problem from a search set, when the query belongs to one domain, and ... -
High Performance GPU Tensor Core Code Generation for Matmul using MLIR
State of the art in high-performance deep learning is primarily driven by highly tuned libraries. These libraries are often hand-optimized and tuned by expert programmers using low-level abstractions with significant effort. ... -
How are visual object representations organized and used to perform tasks ?
We rely heavily on vision for our daily activities, and around 40% of our brain is dedicated to vision. It is known that during a visual task, the visual information falling on the retina is processed in a hierarchy of ... -
Hybrid Electromagnetic Solvers for EMIEMC
With advances in technology and increased design complexity in the automotive industry, Electromagnetic Interference (EMI) and Electromagnetic Compatibility (EMC) issues are becoming increasingly important. An accurate ... -
Hypothesis Testing under Communication Constraints - Theory and an Application in IoT
Applications in the Internet of Things (IoT) often demand enabling low-compute devices to perform distributed inference and testing by communicating over a low bandwidth link. This gives rise to a plethora of new problems ... -
Imitation Learning Techniques for Robot Manipulation
Robots that can operate in unstructured environments and collaborate with humans play a major role in raising productivity and living standards as societies age. Unlike the robots currently used in industrial settings for ... -
Integrated optic devices on thin film lithium niobate for few-mode optical communications
Mode division multiplexing is a remarkable strategy to meet the explosively increasing bandwidth requirements in optical communication systems and interconnects. This scheme harnesses the orthogonality of modes to scale ... -
Inverse Problems in 3D Full-wave Electromagnetics
An inverse problem in Electromagnetics (EM) refers to the process of reconstructing the physical system by processing the measured data of its electromagnetic properties. Inverse problems are typically ill-posed, and this ... -
An Investigation into the Ancillaries, Parallel Operation of Machines with Voltage Source Inverters, and Development of Switched Capacitor Converters for a Microgrid
With the increase in energy demand worldwide, there is a push towards integrating distributed generation (DG) in parallel with the utility grid at the distribution level. The DGs are integrated into the electrical network ... -
Large Time Behaviour and Metastability in Mean-Field Interacting Particle Systems
This thesis studies the large time behaviour and metastability in weakly interacting Markov processes with jumps. Our motivation is to quantify the large time behaviour of various networked systems that arise in practice. The ... -
Learning Non-linear Mappings from Data with Applications to Priority-based Clustering, Prediction, and Detection
With the volume of data generated in today's internet-of-things, learning algorithms to extract and understand the underlying relations between the various attributes of data have gained momentum. This thesis is focused ...