MS THESES: Recent submissions

  • Monte Carlo-Data validation for Electron Ion Collider Group 
    MITHRAN, AKHIL (2021-06)
    The upcoming Electron Ion collider facility is aimed at providing more information on the structure inside the hadrons. As part of improving the detector development and integra- tion of software into the main workflow ...
  • Momentum space correlators in parity-violating CFT3 
    ADITHYA, S. (2021-06)
    Conformal field theory in momentum space has a wide range of applications but has been studied much lesser compared to its position space counterpart. In this thesis, we calculate momentum space 3- point functions in a ...
  • Average Frobenius Distribution in Families of Elliptic Curves 
    CHAKRABORTY, ARIJIT (2021-06)
    An elliptic curve $E$ over a field $\mathbb{F}$ can be defined by the equation $$y^2 = x^3 + ax+ b,$$ where $a, \, b \in \mathbb{F}.$ For any $r \geq 1$, let $a_E{(p^r)}$ denote the trace of the Frobenius endomorphism ...
  • Algebras with involutions and the classical groups 
    ROY, AVINASH (2021-07)
    This thesis deals with the problem of correspondence between semisimple algebraic groups defined over some base field 'k' and semisimple algebras with involutions over 'k'. This fundamental problem was first explored by ...
  • Optothermoelectric assembly of plasmonic nanoparticles 
    KHANDELWAL, UTKARSH (2021-05)
    Reversible agglomeration of plasmonic nanoparticles has a plethora of applications in material science, nanophotonics and life sciences. Very high power density requirement and increased temperature of trapped metal particle ...
  • Understanding ENSO related tropical teleconnections using Quasi-equilibrium tropical circulation model 
    S, SOHAN (2021-05)
    Atmospheric teleconnections are remote impacts associated with atmospheric processes transmitted through planetary-scale waves like the Rossby wave. Tropical heat sources like El Nino Southern Oscillation (ENSO) could force ...
  • Signal propagation and Initialization in Deep Neural Networks 
    SINGH, DAYAL (2021-07)
    Despite their successful application in various fields of science and technology, deep neural networks remain poorly understood. The ability of overparameterized neural networks to express complex functions (expressivity) ...
  • Growth Study and electrical transport of thin film coordination polymers 
    KUMAR, MANISH (2021-07)
    Porous Coordination Polymers (CPs), a class of hybrid organic-inorganic materials, with permanent porosity, popularly known as Metal-Organic Frameworks (MOFs), have garnered a lot of attention in the last two decades ...
  • Modelling radio interferometric observations of the Sunyaev-Zel’dovich effect signal from clusters of galaxies 
    CHOUDHURI, SANKALP (2021-07)
    Modelling the mass distribution of galaxy clusters is pivotal to understand the mass accretion history of the Universe since they are the most massive gravitating objects ever discovered. The Sunyaev-Zel’dovich effect is ...
  • 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. ...

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