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Linear Dynamical Systems with Sparsity Constraints: Theory and Algorithms
This thesis develops new mathematical theory and presents novel recovery algorithms
for discrete linear dynamical systems (LDS) with sparsity constraints on either control
inputs or initial state. The recovery problems ...
Optimal Code Constructions for Some Multi-sender Index Coding Problems
An instance of the multi-sender index coding problem consists of a set of senders
collectively having all the messages demanded by a set of receivers. Each receiver
knows a subset of messages a priori, called its side ...
Algorithms for Processing RGBD Images and Videos for Depth-Based 3D Video Systems
In recent times, immersive visual media such as Virtual Reality (VR), Augmented Reality (AR),
3DTV and Free Viewpoint Television (FTV) have garnered tremendous interest. Immersive
visual media content typically provides ...
Learning to Adapt Policies for uSD card
Machine Learning(ML) for Systems is a new and promising research area where performance
of computer systems is optimized using machine learning methods. ML for Systems has outperformed
traditional heuristics methods in ...
Achieving Fairness in the Stochastic Multi-Armed Bandit Problem
The classical Stochastic Multi-armed Bandit (MAB) problem provides an abstraction for many
real-world decision making problems such as sponsored-search auctions, crowd-sourcing, wireless
communication, etc. In this work, ...
Experiences in using Reinforcement Learning for Directed Fuzzing
Directed testing is a technique to analyze user-specified target locations in the program. It reduces
the time and effort of developers by excluding irrelevant parts of the program from testing and
focusing on reaching ...
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 ...
Robust Algorithms for recovering planted structures in Semi-random instances
In this thesis, we study algorithms for three fundamental graph problems. These are NP-hard problems which have not been understood completely as there is a signifiicant gap between the algorithmic and the hardness fronts ...
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 ...
Sequential Controlled Sensing to Detect an Anomalous Process
In this thesis, we study the problem of identifying an anomalous arm in a multi-armed bandit as quickly as possible, subject to an upper bound on the error probability. Also known as odd arm identification, this problem ...