MS THESES: Recent submissions

  • Class Field Theory and Introduction to Iwasawa Theory 
    JANGLE, ASHUTOSH (2021-06)
    The central objective of this thesis is to state and prove the main theorems of local and global class field theory. We first give a brief overview of basic algebraic number theory followed by group cohomology. Then, we ...
  • Privacy-Preserving Distributed learning in the Healthcare sector 
    MADAAN, HARSHIT (2021-07)
    In this thesis, we compare three privacy-preserving distributed learning techniques: federated learning, split learning, and SplitFed. We use these techniques to develop binary classification models for detecting tuberculosis ...
  • Lipschitz Extension Problem 
    GHUMMAN, MANRAJ (2021-06)
    This project is mainly concerned with the understanding of the problem of extending Lipschitz functions from the boundary of some set to inside it in some special way. This extension is minimal/least fluctuating in some ...
  • A review on the definitions and forms of dispersal syndromes 
    SUBHADARSINI, SUBHASHREE (2021-07)
    Dispersal plays an important role in species response to adverse climate changes. It is a complex multi-stage process that involves multiple components, making its measurement and interpretation challenging. Dispersal ...
  • Working with Small Datasets 
    SETH, JITESH (2021-07)
    Deep learning semantic segmentation algorithms can localise abnormalities or opacities from chest radiographs. However, collecting and annotating training data is expensive and requires expertise which remains a bottleneck ...
  • Applications of Topology to Data Analysis 
    S., SHAMBHAVI (2021-07)
    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 ...
  • Optimal Spin Control in Nitrogen Vacancy Centers in Diamond 
    JHA, ROUNAK (2021-07)
    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 ...
  • Role of Myosin II and its regulators in cortical cap remodeling in the syncytial Drosophila embryo 
    SWAMINATHAN, AMRUTA (2021-05)
    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 ...
  • Role of Rainfall in urban floods: A case of Pune city 
    SINGH, AYUSHMAN (2021-07)
    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 ...
  • Slow dynamics of dense colloidal suspensions in two and three dimensions 
    PANDIT, ATHARVA (2021-05)
    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 ...
  • Conditional Molecule Generation Using Transformer Decoder 
    BAGAL, VIRAJ (2021-07)
    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. ...
  • Interactions between Sustainable Development Goals (SDGs): A systematic literature review focusing on SDG 2 and SDG 6 
    SHIRSATH, PRAFUL (2021-06)
    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 ...
  • Developing and testing Unfolding Algorithms 
    PARMAR, NUKULSINH (2021-07)
    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 ...
  • Characterization of Historical Mortars 
    DHAVALE, ATHANG (2021-05)
    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 ...
  • The impact of the genetic architecture of dispersal and local adaptation on predicting range expansions 
    DESHPANDE, JHELAM N. (2021-07)
    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 ...
  • Analysis of Ising model using neural networks 
    PR, DINESH (2021-07)
    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 ...
  • Engineering dipolar quantum matter via inter-layer interactions 
    NAYAK, PRANAY (2021-07)
    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 ...
  • Effect of inbreeding on microbiota-mediated host traits in Drosophila melanogaster 
    MUDUNURI, AKHILA (2021-07)
    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 ...
  • Applications of Deep Learning: Sequence Modelling in Industrial Sound Analytics 
    CHOUDHARY, ABHISHEK (2021-06)
    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 ...
  • Role of inter-chain tunneling in an extended Bose-Hubbard ladder 
    SANTRA, GOPAL CHANDRA (2021-07)
    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, ...

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