Division of Electrical, Electronics, and Computer Science (EECS): Recent submissions
Now showing items 181-200 of 1278
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OTFS Modulation in MIMO Visible Light Communication Systems
Visible light communication (VLC) technology is emerging as an attractive technology for wireless communication in indoor and vehicular environments. In VLS systems, light emitting diodes (LED) and photo diodes (PD) ... -
Deep Learning Methods For Audio EEG Analysis
The perception of speech and audio is one of the defining features of humans. Much of the brain’s underlying processes as we listen to acoustic signals are unknown, and significant research efforts are needed to unravel ... -
Variational Bayes Algorithms for mmWave and Massive MIMO-OFDM Systems with Low Resolution ADCs
In this thesis, we develop novel low-complexity algorithms for massive multiple-input multiple-output (MIMO) systems under practical non-idealities and theoretically analyze their performance. The first problem we consider ... -
Modeling of Permittivity Variations in Stochastic Computational Electromagnetics
With the evolution of 5G systems offering high data rates, major changes are required in the design approach of the components of communication systems. Furthermore, building complex electromagnetic systems at the terahertz ... -
Addressing the Performance and Reliability Bottlenecks in 2D Transition Metal Dichalcogenide (TMD) Based Transistor Technology
In this thesis, we presented different contributions towards the development of 2D material technology. Firstly the realization of desired dimensions over singlecrystal high-quality MoS2 material through dry etching ... -
Algorithms for Fair Clustering
Many decisions today are taken by various machine learning algorithms, hence it is crucial to accommodate fairness in such algorithms to remove/reduce any kind of bias in the decision. We incorporate fairness in the ... -
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 ... -
Investigations on Polygonal Voltage Space Vector Structure generation with lower order harmonic suppression using switched capacitive filter throughout modulation range for Drive Applications
Multilevel inverters (MLI) are widely used in a host of industrial applications ranging from renewable energy systems, to electric vehicles, to distributed generation. Due to the switching nature of the output voltage, MLI ... -
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 ... -
Nature-inspired Algorithms for Automated Deployment of Outdoor IoT Networks
A vast majority of the Internet of Things (IoT) devices will be connected in a topology where the edge-devices push data to a local gateway, which forwards the data to a cloud for further processing. In sizeable outdoor ... -
Novel First-order Algorithms for Non-smooth Optimization Problems in Machine Learning
This thesis is devoted to designing efficient optimization algorithms for machine learning (ML) problems where the underlying objective function to be optimized is convex but not necessarily differentiable. Such non-smooth ... -
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 ... -
Reinforcement Learning Algorithms for Off-Policy, Multi-Agent Learning and Applications to Smart Grids
Reinforcement Learning (RL) algorithms are a popular class of algorithms for training an agent to learn desired behavior through interaction with an environment whose dynamics is unknown to the agent. RL algorithms ... -
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 ... -
Neural Models for Personalized Recommendation Systems with External Information
Personalized recommendation systems use the data generated by user-item interactions (for example, in the form of ratings) to predict different users interests in available items and recommend a set of items or products ... -
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 ... -
Design and Analysis of a Re-Entrant Microwave Cavity and Its Application for a High-Performance Accelerometer
Accelerometers with high resolution are required for tracking and navigation in launch vehicles, spacecrafts, missiles and other strategic applications. Pendulous integrating gyroscopic accelerometer and force balanced ... -
Revealing Disocclusions in Temporal View Synthesis
We consider the problem of temporal view synthesis, where the goal is to predict a future video frame from the past frames using knowledge of the depth and relative camera motion. The problem has applications in frame rate ... -
Microengineered Force Sensors and Haptic Feedback System for Catheter Contact Force
Minimally Invasive Surgery (MIS) pursues the highest attention in various medical procedures globally because of the reduced complicated process compared with traditional surgery, short postprocedural convalescence, and ... -
Spatially Adaptive Regularization for Image Restoration
Image restoration/reconstruction refers to the estimation of an underlying image from measurements generated by imaging devices. This problem is generally ill-posed since the measurements are corrupted by the physical ...