CDS – Computational Science Research admissions Information

M.Tech(Research)/Ph.D. admissions information

The detailed procedure along with the preference sheet for choice of labs is here

Interview Process:

           The interview process for the Computational Science stream has two stages: Written and Oral (both conducted on the same day).

  1. Written component (Duration: 30 minutes): Total Points 5×2=10
    (a) Two mandatory questions, one from polynomials, functions, plotting, etc  and another is a programing question
    (b) Answer any three out of five questions asked from the following subjects: Elements of Engineering Mathematics: Linear Algebra/Matrix Analysis, Probability and Statistics, Differential Equations and Numerical Methods.

  2. Oral Interview: Candidates who are successful in the written component will attend an oral interview before a CDS-CP faculty committee. In the oral interview, you will be questioned on:

–  Basic Area Subjects:  Linear Algebra; Numerical Methods; and Probability & Statistics. Final year engineering undergraduate level preparation is required

– Advanced Topics:  Any one of the topics:   Matrix Algebra, Numerical and Functional Analysis, Numerical Solution of ODEs and DAEs, Finite element methods, Signal processing, Stochastic Calculus,Computational Biology and Structural Bioinformatics, Graph Algorithms, Structural Biology and Bioinformatics

List of projects/research topics

Project titleLab/ Group Name
Modeling and Simulation of Crystallization ProcessesCM Group
Modeling and Simulation of Energy Extraction Processes in Fuel CellsCM Group
ParMooN – A Parallel (MPI+OpenMP) In-house Finite Element PackageCM Group
Computational Fluid Dynamics (Modeling and Simulation of Multiphase Flows, Modeling and Simulation of Turbulent Flows)CM Group
Constrained Dynamics with Uncertainty over Complex Systems: Stabilization, Path-Constraints and Bifurcation IssuesSCL
Data Assimilation to Path Constrained Dynamical SystemsSCL
HODLR: In-house fast linear algebra package for hierarchical matricesSAFRAN
Direct solvers for high frequency scatteringSAFRAN
Linear complexity solvers for finite element matricesSAFRAN
Fast algorithms for integral equations based inverse obstacle scatteringSAFRAN
Fast algorithms for integral equations based inverse medium scatteringSAFRAN
Linear complexity algorithms for computational statisticsSAFRAN
Algorithms for solving elliptic PDE’s with rapidly oscillating coefficient with applications to material homogenisationSAFRAN
Matrix Analysis: Pivoting algorithms and analysis of growth factorSAFRAN
Accurate multi-component diffusion in counterflow diffusion flameSAFRAN
Medical Imaging Group Research Contributions/AreasMIG
Development of computationally efficient strategies for deconvolution of diffusion weighted MRI dataMIG
Prediction of biomolecular function of proteins BCL
Analysis of large-scale genomic datasets BCL
Structure based analysis of protein interaction networks in biology BCL
Structural Biology and Bio-computing LabBio-computing Lab
CSPL projectsCSPL

(Updated on: June 2, 2016)

Frequently Asked Questions (FAQs) about admissions are here

For any queries/questions about admissions, please contact: (replace # with @)