School of Electrical and Computer Engineering Theses and Dissertations
Original work in partial fulfillment of a graduate degree in the School of Electrical and Computer Engineering.
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Recent Submissions
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Inkjet-Printed Broadband Energy Harvesters, Rectifiers For 5G and IoT Applications Featuring Broad Range Matching Capabilities
(Georgia Institute of Technology, 2022-12-23)The need for 5G and the constant improvement in connecting broadband networks to devices has been a research area which has been advancing since recent times. With its ability to support millions of devices along with ... -
Gaussian Control Barrier Functions : A Gaussian Process based Approach to Safety for Robots
(Georgia Institute of Technology, 2022-12-16)In recent years, the need for safety of autonomous and intelligent robots has increased. Today, as robots are being increasingly deployed in closer proximity to humans, there is an exigency for safety since human lives may ... -
Reliable Sensor Intelligence in Resource Constrained and Unreliable Environment
(Georgia Institute of Technology, 2022-12-14)The objective of this research is to design a sensor intelligence that is reliable in a resource constrained, unreliable environment. There are various sources of variations and uncertainty involved in intelligent sensor ... -
Understanding Data Manipulation and How to Leverage it To Improve Generalization
(Georgia Institute of Technology, 2022-12-14)Augmentations and other transformations of data, either in the input or latent space, are a critical component of modern machine learning systems. While these techniques are widely used in practice and known to provide ... -
Learning Dynamic Priority Scheduling Policies with Graph Attention Networks
(Georgia Institute of Technology, 2022-12-13)The aim of this thesis is to develop novel graph attention network-based models to automatically learn scheduling policies for effectively solving resource optimization problems, covering both deterministic and stochastic ... -
Design of a Robotic Platform for Plant Root Imaging and Biomass Estimation
(Georgia Institute of Technology, 2022-12-15)Plant health and analysis has historically been a difficult undertaking due to both cost barriers and complex experimental setup. Our project focuses on analyzing the growth of lettuce plants grown in hydroponic systems. ... -
Stray Flux Monitoring and Multi-Sensor Fusion Condition Monitoring for Squirrel Cage Induction Machines
(Georgia Institute of Technology, 2022-12-07)This research work investigates the ability of external magnetic flux-based condition monitoring to detect rotor-related faults and incipient stage bearing faults in squirrel-cage induction machines (SCIMs). This work also ... -
Curve Sign Inventorying Method Using Smartphones and Deep Learning Technologies
(Georgia Institute of Technology, 2022-12-07)The objective of the proposed research is to develop and assess a system using smartphones and deep learning technologies to automatically establish an intelligent and sustainable curve sign inventory from videos. The ... -
Advanced Control of a Multi-Port Autonomous Reconfigurable Solar Power Plant
(Georgia Institute of Technology, 2022-12-13)The multi-port autonomous reconfigurable solar power plant (MARS), which is an integration of photovoltaic (PV) and energy storage system (ESS) to the transmission ac grid and a high-voltage direct current (HVdc) link, is ... -
Applications of Nonlinear Dynamics in Semiconductor Lasers With Time-Delayed Feedback in Microwave Photonics
(Georgia Institute of Technology, 2022-12-06)The main objective of this research is to investigate the rich nonlinear dynamics of a semiconductor \gls{LD} subjected to time-delayed optoelectronic (OE) feedback, emphasizing applications in microwave photonics and ... -
Scattering and Optimization Methods for Radar and Millimeter Wave Applications
(Georgia Institute of Technology, 2022-12-06)Analysis of EM waves from both the scattering model and hardware sides has grown exponentially since the requirements of electrical devices have become stricter in order to serve various applications. High performance ... -
GNNBuilder: An Automated Framework for Generic Graph Neural Network Accelerator Generation, Simulation, and Optimization
(Georgia Institute of Technology, 2022-12-08)There are plenty of graph neural network (GNN) accelerators being proposed. How- ever, they highly rely on users’ hardware expertise and are usually optimized for one specific GNN model, making them challenging for practical ... -
Evaluating the role of lightning-induced electron precipitation towards radiation belt electron loss
(Georgia Institute of Technology, 2022-12-06)Lightning-induced electron precipitation (LEP) is one of the principle mechanisms for electrons to be drained from the radiation belts. An LEP event progressess with Very Low Frequency (VLF) radio wave propagation from ... -
Design Space Extrapolation and Inverse Design using Machine Learning
(Georgia Institute of Technology, 2022-12-13)Modern electronic systems need to be analyzed and designed carefully for their operation at higher frequencies and many control parameters. This process takes up a huge time for computations and design cycles. To this ... -
A Hybrid Platform for Wideband Reconfigurable Nonlinear Metamaterials
(Georgia Institute of Technology, 2022-12-06)Optical frequency conversion processes, such as second- and third-harmonic generations, are commonly realized in nonlinear optics, offering application opportunities in photonics, chemistry, material science, and biosensing. ... -
Architecture and Circuit Design Optimization for Compute-In-Memory
(Georgia Institute of Technology, 2022-11-21)The objective of the proposed research is to optimize computing-in-memory (CIM) design for accelerating Deep Neural Network (DNN) algorithms. As compute peripheries such as analog-to-digital converter (ADC) introduce ... -
Reliability and Security of Compute-In-Memory Based Deep Neural Network Accelerators
(Georgia Institute of Technology, 2022-11-21)Compute-In-Memory (CIM) is a promising solution for accelerating DNNs at edge devices, utilizing mixed-signal computations. However, it requires more cross-layer designs from algorithm levels to hardware implementations ... -
Developing Transferable Deep Models for Mobile Health
(Georgia Institute of Technology, 2022-11-29)Human behavior is one of the key facets of health. A major portion of healthcare spending in the US is attributed to chronic diseases, which are linked to behavioral risk factors such as smoking, drinking, unhealthy eating. ... -
Morphological Variability Analysis of Physiologic Waveform for Prediction and Detection of Diseases
(Georgia Institute of Technology, 2022-11-22)For many years it has been known that variability of the morphology of high-resolution (∼30-1000 Hz) physiological time series data provides additional prognostic value over lower resolution (≤ 1Hz) derived averages such ... -
Understanding and Mitigating Privacy Vulnerabilities in Deep Learning
(Georgia Institute of Technology, 2022-11-17)Advancements in Deep Learning (DL) have enabled leveraging large-scale datasets to train models that perform challenging tasks at a level that mimics human intelligence. In several real-world scenarios, the data used for ...
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