Metropolitan area consists of huge population density, one or more urban areas, satellite cities, rural areas and towns. It highly concentrates economic activities to attract people from rural areas and is a complex ...

This thesis presents results relating to the application of error-correcting codes with different aims and in different settings; to achieve low-latency communication, to improve decoding performance and to enable the ...

The discovery of single photon emitters (SPEs) in van der Waals materials, in particular, from point defects in Tungsten Diselenide (WSe2) and hexagonal Boron Nitride (hBN), has sparked tremendous research interest in the ...

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 ...

Layered transition metal dichalcogenides (TMDCs) host a variety of strongly bound exciton complexes that control the optical properties in these materials. Apart from spin and valley, layer index provides an additional ...

Guided mode resonant (GMR) structures are interesting from the point of view of enhanced light-matter interaction and find applications in sensing, filtering, and miniaturized photonic components. The Guided mode resonance ...

In this thesis, we investigate some of the problems concerning the safety and security of power systems. Since the operational safety of the power system itself is a vast area of research, we choose to investigate the ...

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 ...

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 ...

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, ...