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Design of multi-view graph embedding using multiple kernel learning

The graph embedding is the process of representing the graph in a vector space using properties of the graphs. The existing graph embeddings rely mostly on a single property of graphs for data representation which is found to be inappropriate to capture all the characteristics of the data. Hence we designed graph embedding using multi-view approach, where each view is an embedding of the graph using a graph property. The input space of multi-view learning is then taken as the direct sum of the subspaces in which the graph embedding lie.

Approximations of fluid flow problems:

The mathematical model of fluid flow problems consists of coupled nonlinear partial differential equations, and hence obtaining analytical solutions or even closed-form solutions will be very difficult. Moreover, their numerical simulation in complicated scenarios (such as domains with diverse types of boundary and transmission conditions) remains far from trivial. Therefore, in collaboration with Prof. Ricardo Ruiz-Baier ( Monash University Australia), Prof.

Parameter-uniform fractional step hybrid numerical scheme for 2D singularly perturbed parabolic convection–diffusion problems

The aim of underlying research work is to achieve higher-order uniformly convergent numerical approximation to the solutions of a class of singularly perturbed parabolic partial differential equations (PDEs). These types of model problems can be viewed, for instance, as the unsteady Navier-Stokes equation with large Reynolds number; and generally possess boundary layers.

Virtual element method for the nonlinear convection-diffusion-reaction equation on Polygonal meshes

Virtual element method (VEM) is a newly born baby from Finite element method (FEM) Galerkin approach. In recent years, this method has been extensively studied for a variety of problems such as linear elliptic, parabolic, hyperbolic, stokes problems and so on. We are the first group to work on VEM in India. Our research work mainly focuses on the VEM discretization for the nonlinear equations. The major challenge in devising the computable VEM scheme is due to the fact that the basis functions are not known explicitly.

Multivariate Finite Support Phase Type Distributions

Phase type (PH) distributions, which are defined on the non-negative real line, became quite popular in the last decades as they have been used in a wide range of applications of stochastic models. It forms a dense subset in the space of all distributions defined on the non-negative real numbers and at the same time it is numerically tractable because of its underlying Markovian structure. We could find a multivariate distribution, defined on any k-orthotope in [0,∞)k , having the analogous properties of the PH class.

INFORMATION GEOMETRY

Information geometry is a branch of Mathematics that applies the techniques of differential geometry to the field of probability theory. The family of probability distributions which constitutes a statistical model has a rich geometric structure as a manifold with Riemannian metric and dual connections. Using this geometric interpretation one can obtain new insight into the framework of statistical inference and can develop new techniques for inference.

Lower dimensional approximation of eigenvalue problem for thin piezoelectric shells with non-uniform thickness.

We first consider thin piezoelectric shallow shells with variable thickness and show that the eigenvalues of the three dimensional problem are order square of thickness the corresponding scaled eigensolutions converge to the eigensolutions of a two dimensional model.

Dynamics and Rheology of Suspensions

Dynamics of micro particles in fluids and the change in rheological parameters due to particle dynamics occur across many industries including many processes relevant to space programs. We developed solutions for some of the problems and the study will be continued. A set of ordinary differential equations governing the migration of an arbitrary forced spheroid in quiescent/ simple-shear/ uniform/ oscillating/ oscillating-shear flows at low Reynolds number is formulated and discussed, assuming a sufficiently diluted suspension to neglect the particle-particle interactions.

Weak stability boundary (WSB) and low thrust transfer trajectories to planets

To understand the dynamics of WSB trajectories and develop algorithms to obtain WSB trajectories from Earth to Moon and Mars. The role of periodic orbits (PO) and manifolds associated with them in ballistic lunar capture is studied. As a first step towards orbiter missions, planar fly-by trajectories to the Moon were studied in the framework of Restricted three-body problem (RTBP). We attempt the construction of a WSB trajectory toMoon in the restricted four-body problem (RFBP) and its dynamics. An algorithm is developed to obtain WSB trajectories to the moon in a full force model.

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