This thesis aims to serve as an introduction to Topological Data Analysis (TDA), a collection
of methods that seek to quantify the topological and geometric features of data using
algebraic topology. The theory behind ...
In this thesis, we explore the effect of single qubit (electron) control techniques like Rabi
oscillations, Free Induction Decay (FID) and Dynamical Decoupling (DD), using microwave
(MW) pulse sequences. We characterize ...
Cell shape change is crucial to many biological processes such as cell migration and cytokinesis. The cortical actin cytoskeleton controls cell shape remodeling. Drosophila embryogenesis offers a suitable model to study ...
The frequency of floods and disasters have been increasing in the past few decades. The
reason behind these incidents could be varied: Climate change, urbanisation and change in
land-use patterns. We have taken the case ...
We develop computer codes to efficiently & accurately locate and track particles in 2D & 3D images obtained from confocal microscopy. We prepare 2D & 3D colloidal systems with area/volume fractions (phi) close to the glass ...
Deep learning is being widely used for de novo generation of molecules. Molecules can
be represented in the form of string of characters, SMILES representation, which allows the implementation of transformer architectures. ...
We have ten more years to achieve the ambitious 17 Sustainable Development Goals (SDGs) set up by the United Nations in 2016. Looking at the 169 target and 230 indicators under the 17 SDGs, we see they are interconnected ...
The observed kinematic distributions of the particles produced in proton-proton collision events are generally different from what is expected for an ideal detector mainly because of the detector effects like imperfect ...
Historical monuments are the cultural heritage of any nation. They serve as points of
remembrance and can facilitate tourism. In this project, there is an attempt to
characterize mortar samples obtained from different ...
Predicting range expansions and biological invasions is a central challenge in global change research. While already non-trivial in a purely ecological context, this task becomes truly challenging when rapid evolution comes ...
This work attempts to study the simplest classical model systems
that describe the physics of phase transitions- nearest neighbour Ising models
using neural networks which are often associated with artificial ...
This thesis discusses how inter-layer dipole-dipole interactions (DDIs) introduce structural modifications in dipolar Bose-Einstein condensates (DBECs). We demonstrate this in a bi-layer system with three DBECs. We also ...
Microbiota play an important role in regulating host development, physiology and behavior. The hologenome theory suggests that the host and microbiota form the holobiont upon which selection acts. Variation in the host or ...
In today's world of data and information, deep learning has proven to be the ace in data science applications. While we hear much of deep learning concerning computer vision, NLP (Natural Language Processing), audio analysis ...
In this thesis, we study the ground-state phases of an extended Bose-Hubbard ladder using the density-matrix renormalization group (DMRG) algorithm. Each chain in the ladder is characterized by an onsite interaction U, ...
Quantum field theory has been a useful framework for analyzing and understanding the fundamental forces of nature, including electromagnetism, weak and strong interactions. However, when one tries to apply the usual ...
We study infectious disease spread through the Indian transportation network in this thesis. We
use a hazard index to quantify the risk faced by 446 Indian cities for an epidemic starting from
any city. This hazard index, ...
Experimental evolution is an important tool used to study the long-term effects of
multidrug resistance in bacterial populations. Two major factors that can potentially
affect the evolution of resistance are fluctuations ...
On 14th September, 2015, the LIGO detectors at Hanford and Livingston observed a gravitational wave signal originating from the merger of two stellar mass black holes. Since then, LIGO has reported the observation of 11 ...
Rotation curves of galaxies trace their gravitational potential and provide key information about the mass distribution within them. These were one of the first indicators about the presence of a new form of matter that ...