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 ...

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 ...

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 ...

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 ...

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, ...

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, ...

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 ...

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), ...

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 ...

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 ...