Division of Electrical, Electronics, and Computer Science (EECS)
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A Framework for Privacy-Compliant Delivery Drones
We present Privaros, a framework to enforce privacy policies on drones. Privaros is designed for commercial delivery drones, such as the ones that will likely be used by Amazon Prime Air. Such drones visit a number of host ... -
Approximation Algorithms for Geometric Packing Problems
We study approximation algorithms for the geometric bin packing problem and its variants. In the two-dimensional geometric bin packing problem (2D GBP), we are given n rectangular items and we have to compute an axis-parallel ... -
Locally Reconstructable Non-malleable Secret Sharing
Non-malleable secret sharing (NMSS) schemes, introduced by Goyal and Kumar (STOC 2018), ensure that a secret m can be distributed into shares m1,...,mn (for some n), such that any t (a parameter <= n) shares can be ... -
Structured Sparse Signal Recovery for mmWave Channel Estimation: Intra-vector Correlation and Modulo Compressed Sensing
This thesis contributes new theoretical results and recovery algorithms for the area of sparse signal recovery motivated by applications to the problem of channel estimation in mmWave communication systems. The presentation ... -
Scaling Blockchains Using Coding Theory and Verifiable Computing
The issue of scalability has been restricting blockchain from its widespread adoption. The current transaction rate of bitcoin is around seven transactions/second while its size has crossed the 300 GB mark. Although many ... -
New Algorithmic and Hardness Results in Learning, Error Correcting Codes and Constraint Satisfaction Problems
Approximation algorithms are a natural way to deal with the intractability barrier that is inherent in many naturally arising computational problems. However, it is often the case that the task of solving the approximation ... -
Knowledge-driven training of deep models for better reconstruction and recognition
This thesis aims to efficiently solve many interesting and challenging problems by incorporating appropriate image processing techniques in a deep learning framework. We have proposed, implemented and tested efficient ... -
Speech enhancement using deep mixture of experts
Speech enhancement is at the heart of many applications such as speech com- munication, automatic speech recognition, hearing aids etc. In this work, we consider the speech enhancement under the framework of multiple ... -
Binaural Source Localization using subband reliability and interaural time difference patterns
Machine localization of sound sources is necessary for a wide range of appli- cations, including human-robot interaction, surveillance and hearing aids. Robot sound localization algorithms have been proposed using ... -
Dynamics of a Stratified Population of Optimum Seeking Agents on a Network
Very large scale multi-agent systems occur both naturally and in engineering applications. In many of these systems, the agents are either selfish or act with varying levels of coordination. Understanding the evolution of ... -
Battle of Bandits: Online Learning from Subsetwise Preferences and Other Structured Feedback
The elicitation and aggregation of preferences is often the key to making better decisions. Be it a perfume company wanting to relaunch their 5 most popular fragrances, a movie recommender system trying to rank the most ... -
Novel Reinforcement Learning Algorithms and Applications to Hybrid Control Design Problems
The thesis is a compilation of two independent works. In the first work, we develop novel weight assignment procedure, which helps us develop several schedule based algorithms. Learning the value function of a given policy ... -
Design and Development of ECA based Routing Protocols for Ubiquitous Network
The ubiquitous network is a heterogeneous wireless network comprising of computing devices such as laptops, smartphones, tablets, PDAs, etc., are connected to any device at any time, anywhere that enabling mobile users to ... -
Towards Effcient Privacy-Preserving Two-Party k-Means Clustering Protocol
Two-party data mining is a win-win game if played with a guarantee of data privacy from each other. This guarantee is provided by the use of cryptographic techniques in designing the two-party protocol. The need to ... -
Resource Allocation Schemes for 4G/5G based Interactive Multimedia Networks
Emerging interactive multimedia applications such as Virtual Reality (VR) and Augmented Reality are upcoming important applications in healthcare, autonomous transport, education, tactile internet, and industrial automation. ... -
Physics Based Design & Development of Gallium Nitride High Electron Mobility Transistors (HEMTs) & Schottky Barrier Diodes for Power and RF Applications
Silicon-based transistors such as MOSFETs have been the preferred choice for decades now for both power as well as high-frequency device applications. The meteoric rise of Silicon was fuelled by the quest for a highly ... -
Contributions on Index Coding, Coded Caching and Gradient Coding
In this thesis, we cover three major areas, namely, index coding, coded caching and gradient coding. We begin by considering unicast index coding problems where a server broadcasts coded messages over a noiseless channel, ... -
Revisiting Statistical Techniques for Result Cardinality Estimation
The Relational Database Management Systems (RDBMS) constitute the backbone of today's information-rich society, providing a congenial environment for handling enterprise data during its entire life cycle of generation, ... -
An Investigation into the Ancillaries, Parallel Operation of Machines with Voltage Source Inverters, and Development of Switched Capacitor Converters for a Microgrid
With the increase in energy demand worldwide, there is a push towards integrating distributed generation (DG) in parallel with the utility grid at the distribution level. The DGs are integrated into the electrical network ... -
Performance improvement of meshless methods for practical time domain electromagnetic analyses.
Solution of Maxwell's equations for practical antennas, filters, waveguides and other microwave devices requires use of numerical methods. Popular numerical methods include the finite difference time domain method (FDTD), ...
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