Division of Electrical, Electronics, and Computer Science (EECS)
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Dictionary Based Channel Estimation and Precoding Techniques for Massive MIMO Wireless Communication Systems
Massive multiple-input multiple-output (MIMO) systems constitute a promising enabling technique for 5G/6G cellular networks as a benefit of their substantial spatial multiplexing gain in both time division duplex (TDD) and ... -
Reasoning about Safety of Camera-Based Neural Network Controlled Systems
Autonomous technologies are becoming increasingly prevalent due to the numerous benefits they offer, including improved safety and security, enhanced accessibility for mobility-challenged individuals, and the ability to ... -
Combinatorial Problems arising in Quantum Physics and Model counting
This thesis investigates some combinatorial problems arising in quantum physics and model counting. In particular, we develop new graph-theoretic techniques to resolve some open questions from quantum photonics. We also ... -
Algorithms for various cost criteria in Reinforcement Learning
In this thesis we will look at various Reinforcement Learning algorithms. We will look at algorithms for various cost criteria or reward objectives namely Finite Horizon, Discounted Cost, Risk-Sensitive Cost. For Finite ... -
Feature Tracking and Visual Analysis of Temporal Scalar Fields in the Ocean
The Bay of Bengal (BoB) has maintained its salinity distribution over the years despite a continuous flow of fresh water entering it through rivers on the northern coast, which can dilute its salinity. This can be ... -
Neuromorphic Vision: Asynchronous and Sparse Processing of Event Camera Data
Modern systems, including edge computing, autonomous vehicles and robotics, face constraints, such as limited processing power and restricted battery energy, making computational efficiency a critical bottleneck for their ... -
RSMA Architectures for Downlink Communication Systems
Demand for the internet is increasing day by day, and the number of internet users is also growing drastically. Multiple access (MA) plays an important role in the fifth-generation (5G) and upcoming sixth-generation (6G) ... -
Electronic Devices using Low-Dimensional van der Waals Materials and Their Heterojunctions
As the state of the art in computation, communication and sensing advances, there is an ever-increasing search for novel materials and device architectures to satisfy the growing demands for more functionality, performance, ... -
Global Methods for Camera Motion Estimation
This thesis is a contribution towards the problem of Structure-from-Motion (SfM), which has been of interest to the 3D computer vision community for many decades. Structure-from-Motion falls under the class of 3D reconstruction ... -
Investigations on Pulse Width Modulation Techniques for Split-Phase Induction Motor Drives
A split-phase induction motor (SPIM) has two sets of identical three-phase windings. These two sets of windings are separated by 30◦ in space, which are, typically fed by a three-phase voltage source inverter (VSI) each. ... -
Parallel Algorithms for Efficient Utilization of Multiprocessor Architectures for Transient Stability
Computer hardware capabilities have been enormously increasing over the years. Multicore processors, graphic processing units (GPUs), and field programmable gate array (FPGA) accelerators have grown significantly recently. ... -
Fault Creation, Detection and Classification Systems for Modern Power Grids
The power grid is changing with the exponentially growing penetration of inverter-based resources (IBRs). Keeping the power grid stable, reliable, and secure, and delivering quality power has become increasingly important ... -
Modulating Waveform Generation for Split-Phase Induction Motor Drives and Discrete Modelling of Switched Reluctance Motor Drives
The thesis focuses on the areas for improvement in non-permanent magnet-based electric drives, such as the asymmetrical six-phase (or split-phase) induction motor and the switched reluctance motor drives. In the first ... -
GPU-Accelerated Quantum Transport Solver to Explore 2D Material Space for Transistor Operation
For decades, silicon has been the mainstay of the semiconductor industry. However, to preserve the electrostatic integrity of MOSFETs (metal oxide semiconductor field effect transistors), technology downscaling necessitates ... -
Infimal convolution approaches for image recovery
The quality of image captured by acquisition devices has increased drastically over the years largely due to a revolution in imaging sensor capability. But, image acquisition under low illumination continues to be a ... -
Loop Transformations for Multi-/Many-Core Architectures using Machine Learning
Loop transformation techniques such as loop tiling, loop interchange and unroll-and-jam help expose better coarse-grain and fine-grain data-level parallelisms as well as exploit data locality. These transformations are ... -
Learning with Multi-domain and Multi-view Graph Data
In many applications, we observe large volumes of data supported on irregular (non-Euclidean) domains. In graph signal processing (GSP) and graph machine learning (GML), data is indexed using the nodes of a graph and ... -
Sequential Transfer in Multi-Armed Bandits using Reward Samples
We consider a sequential multi-task problem, where each task is modeled as a stochastic multi-armed bandit with K arms. We study the problem of transfer learning in this setting and propose algorithms based on UCB to ... -
Fair and Efficient Dynamic Memory De-bloating
The virtual memory abstraction simplifies programming and enhances portability but requires the processor to translate virtual addresses to physical addresses which can be expensive. To speed up the virtual-to-physical ... -
Developing Experimental Approaches to Gain Physical Insights into High Electric Field and Hot Electron Reliability of AlGaN/GaN HEMTs
Next-generation power conversion systems, designed to achieve environmental and economic sustainability, are required to be efficient and smaller in size. Advances in silicon-based power devices, which are the major driving ...
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