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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) ...
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 ...
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 ...
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 ...
Machine Learning for Decoding Imagined words and Altered State of Consciousness from EEG
In the first part of the thesis, the results of our studies on the classification of phonological categories in imagined words are presented. We have investigated whether there are any statistically significant differences ...
Design of Non-Cartesian k-space Trajectories for Reduced Scan Time in Magnetic Resonance Imaging Systems
Magnetic resonance imaging (MRI) is a non-invasive and safe medical imaging technique. This imaging modality collects samples in the Fourier domain, called as the k-space. The k-space is traversed along continuous trajectories ...
Wideband Microstrip Patch Antennas and their Modifications for Practical Applications
Printed antennas play an significant role in satellite, mobile, and other wireless communications networks, military systems and several more emerging applications in-
cluding radar sensing and imaging. Several of these ...
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, ...
Reinforcement Learning in Large and Structured Environments
In a reinforcement learning (RL) problem, a learner takes actions to control the state of
an initially unknown environment so as to maximize the sum of the rewards he obtains. This has several applications in many practical ...
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 ...