Feature

Professor

Department of Civil Engineering
Indian Institute of Science
Bangalore, 560 012. India.
Phone: +91-80-2293-2818
E-mail: dghosh at iisc.ac.in

Research interest

Computational mechanics, Stochastic finite elements, Probabilistic methods, Domain decomposition techniques, Multiscale mechanics, Parallel computing.


Education

  • PhD in Civil Engineering 2005, The Johns Hopkins University
  • M.E. in Civil Engineering (Structures) 2001, Indian Institute of Science, Bangalore
  • B.E. in Civil Engineering 1997, Bengal Engineering College

Experience

  • Professor, Dept of Civil Engineering, Indian Institute of Science, 2020 -
  • Associate Professor, Dept of Civil Engineering, Indian Institute of Science, 2014 - 2020
  • Project Associate Professor, Graduate School of Frontier Sciences, The University of Tokyo, Oct-Dec 2017
  • Assistant Professor, Dept of Civil Engineering, Indian Institute of Science, 2008 - 2014
  • Postdoctoral Scholar, Dept of Mechanical Engineering, Stanford University, 2005 - 2008
  • Visiting Scholar, Dept of Civil and Environmental Engineering, University of Southern California, Jan - Sept 2005
  • Software Engineer, Geometric Software Soln. Ltd., Pune, India, 2001.
  • Design Engineer, Arora Associates, New Delhi, India, 1997-1998.

Publications

Journal

Nagaraja AM, Abhiram BR, Ramesh C, Ghosh D, and Gururaja S. Multiscale modeling for mechanical property estimation of polymer matrix composites with nano- and micro-scale reinforcements, Journal of Reinforced Plastics and Composites, Accepted

Sachdeva R and Ghosh D. Aperiodicity induced robust design of metabeams: Numerical and experimental studies, International Journal of Mechanical Sciences, 283, 109650, 2024

Bharti C and Ghosh D. A novel LSTM-integrated non-intrusive ROM for reliability analysis of hysteretic systems with large stochastic dimension, International Journal of Non-Linear Mechanics, 165, 104803, 2024

C Bharti and D Ghosh. A novel non-intrusive ROM for randomly excited linear dynamical systems with high stochastic dimension using ANN, Probabilistic Engineering Mechanics, 75, 103570, 2024

HP Lal, BR Abhiram, and D Ghosh. Prediction of nonlocal elasticity parameters using high-throughput molecular dynamics simulations and machine learning, European Journal of Mechanics-A/Solids, 103, 105175, 2024

BR Abhiram and D Ghosh. Influence of nanofiller agglomeration on fracture properties of polymer nanocomposite: Insights from atomistic simulation, Engineering Fracture Mechanics, 290, 109503, 2023

BR Abhiram and D Ghosh. Atomic investigation on optimal interfacial bonding for enhanced fracture properties in polymer nanocomposites, Engineering Fracture Mechanics, 281, 109078, 2023.

Hossain Md. N, Bharti C, and Ghosh D. Energy preservation in POD based reduced order models for linearly vibrating systems, Mechanics Research Communications, 128, 104056, 2023.

Ajith G and Ghosh D. A novel method for solving nonlinear stochastic mechanics problems using FETI‐DP, International Journal for Numerical Methods in Engineering, 123 (10), 2290-2308, 2022.

Hossain Md. N and Ghosh D. A random process based novel training scheme for reduced order models of spatially periodic vibrating systems, Journal of Sound and Vibration, 116923, 2022.

Ajith G and Ghosh D. A FETI-DP-based parallel algorithm for solving high dimensional stochastic PDEs using collocation , International Journal for Uncertainty Quantification, Volume 12, Number 3, 2022.

Hossain Md. N and Ghosh D. Adaptive reduced order modeling for nonlinear dynamical systems through a new a posteriori error estimator : Application to uncertainty quantification, International Journal for Numerical Methods in Engineering, Volume 121, Issue 15, Pages 3417-3441, 2020.

Dasgupta A and Ghosh D. Failure probability estimation of linear time varying systems by progressive refinement of reduced order models, SIAM/ASA Journal on Uncertainty Quantification, Volume 7, Issue 3, Pages 1007–1028, 2019.

Hossain Md. N and Ghosh D. Reduced order modeling of random linear dynamical systems based on a new a posteriori error bound, International Journal for Numerical Methods in Engineering, Volume 116, Issue 12-13, Pages 741-758, 2018.

Pranesh S and Ghosh D. Cost reduction of stochastic Galerkin method by adaptive identification of significant polynomial chaos bases for elliptic equations, Computer Methods in Applied Mechanics and Engineering, Volume 338, 0-15, 2018.

Sarkar K, Ganguli R, Ghosh D, and Elishakoff I. Random eigenvalue characterization for free vibration analysis of axially-loaded Euler-Bernoulli beams, AIAA Journal, Volume 56, Number 9, 3757-3765, 2018.

Pranesh S and Ghosh D. A FETI-DP based parallel hybrid stochastic finite element method for large stochastic systems, Computers and Structures, Volume 195, 64-73, 2018.

Krishnan A N M and Ghosh D. Mechanics of metal-nanocomposites at multiple length scales: Case of Al-BNNT, Journal of Nanomechanics and Micromechanics, ASCE, Volume 7, Issue 4, 04017014-1-10, 2017.

Suryawanshi A and Ghosh D. A semi-intrusive stochastic perturbation method for lift prediction and global sensitivity analysis, Artificial Intelligence for Engineering Design, Analysis and Manufacturing, Volume 31, Issue 3, 277-285, 2017.

Chandra A, Krishnan A N M, Patra P K, and Ghosh D. Coaxial Boron-Nitride/Carbon nanotubes as a potential replacement for double-walled carbon nanotubes for high strain applications, Journal of Nanoscience and Nanotechnology, Volume 17, Number 8, 5252-5260, 2017.

Krishnan A N M and Ghosh D. Buckling analysis of cylindrical thin-shells using strain gradient elasticity theory, Meccanica, Volume 52, Issue 6, 1369-1379, 2017.

Pranesh S and Ghosh D. Addressing the curse of dimensionality in SSFEM using the dependence of eigenvalues in KL expansion on domain size, Computer Methods in Applied Mechanics and Engineering, Volume 311, 457-475, 2016.

Sarkar K, Ganguli R, Ghosh D, and Elishakoff I. Closed-form solutions and uncertainty quantification for gravity-loaded beams, Meccanica, Volume 51, Issue 6, 1465-1479, 2016

Suryawanshi A and Ghosh D. Reliability based optimization in aeroelastic stability problems using polynomial chaos based metamodels, Structural and Multidisciplinary Optimization, Volume 53, Issue 5, 1069-1080, 2016.

Hossain Md. N, Sarkar S, and Ghosh D. Identification of dominant modes in random dynamical and aeroelastic systems, Journal of Sound and Vibration, Volume 357, 128-144, 2015.

Sarkar S and Ghosh D. A hybrid method for stochastic response analysis of a vibrating structure, Archive of Applied Mechanics, Volume 85, Issue 11, 1607-1626, 2015.

Pranesh S and Ghosh D. Faster computation of the Karhunen-Loeve expansion using its domain independence property, Computer Methods in Applied Mechanics and Engineering, Volume 285, 125-145, 2015.

Suryawanshi A and Ghosh D. Wind speed prediction using spatio-temporal covariance, Natural Hazards, Volume 75, 1435-1449, 2015.

Krishnan A N M and Ghosh D. Defect induced plasticity and failure mechanism of boron nitride nanotubes under tension, Journal of Applied Physics, Volume 116, 044313 (1-6), 2014.

Krishnan A N M and Ghosh D. A novel method for studying the buckling of nanotubes considering geometrical imperfections, Applied Physics A, Volume 117, 945-953, 2014.

Krishnan A N M and Ghosh D. Chirality dependent elastic properties of single-walled boron nitride nanotubes under uniaxial and torsional loading, Journal of Applied Physics, Volume 115, 064303 (1-5), 2014.

Ghosh D and Suryawanshi A. Approximation of spatio-temporal random processes using tensor decomposition, Communications in Computational Physics, Volume 16, Number 1, 75-95, 2014.

Ghosh D. Probabilistic interpretation of conjugate gradient iterations in spectral stochastic finite element method, AIAA Journal, Technical note, Volume 52, No. 6, 1313-1316, 2014.

Ghosh D. Application of the random eigenvalue problem in forced response analysis of a linear stochastic structure, Archive of Applied Mechanics, Volume 83, 1341-1357, 2013.

Ghosh D and Ghanem R. An invariant subspace based approach to the random eigenvalue problem of systems with clustered spectrum, International Journal for Numerical Methods in Engineering, Volume 91, Number 4, 378- 396, 2012.

Ghosh D. Some interesting properties of the response covariance of stochastic linear dynamical systems, International Journal of Engineering Under Uncertainty: Hazards, Assessment and Mitigation, Volume 2, 141-149, 2010.

Ghosh D, Farhat C, and Avery P. A FETI-preconditioned conjugate gradient method for large-scale stochastic finite element problems, International Journal for Numerical Methods in Engineering, Volume 80, 914-931, 2009.

Ghosh D and Farhat C. Strain and stress computations in stochastic finite element methods, International Journal for Numerical Methods in Engineering Volume 74, Issue 8, 1219-1239, 2008.

Ghosh D and Ghanem R. Stochastic convergence acceleration through basis enrichment of polynomial chaos expansion, International Journal for Numerical Methods in Engineering Volume 73, Issue 2, 162-184, 2008.

Ghanem R and Ghosh D. Efficient characterization of the random eigenvalue problem in a polynomial chaos decomposition, International Journal for Numerical Methods in Engineering Volume 72, Issue 4, 486-504, 2007.

Ghosh D, Ghanem R, and Red-Horse J. Analysis of eigenvalues and modal interaction of stochastic systems, AIAA Journal, Volume 43, No. 10, pp. 2196-2201, 2005.

Book chapters

Gupta S and Ghosh D. Uncertainty quantification in structural engineering: current status and computational challenges, DOI: 10.1142/9789814730587_0005, Uncertainty Quantification in Computational Science: Theory and Application in Fluids and Structural Mechanics, World Scientific Publishing, ISBN-13: 978-9814730570, 2016.

Abhinav S, Ghosh D, and Manohar CS. Substructuring methods for finite element analysis, Encyclopedia of Earthquake Engineering, Springer, ISBN 978-3-642-35343-7, 3691-3704, 2015.


Teaching

Mathematics for Engineers
Solid Mechanics
Optimization Methods
Introduction to Finite Elements
Computation is Structural Mechanics
Structural Dynamics
Nonlinear Structural Mechanics
Uncertainty Modelling and Analysis


Students

Current PhD students

Avi Biswas
Rudradeep Das
Trisha Chakravorty
Rohit Sachdeva
Varsha P

Current MTech students

Harika T
Sonesh Basineni

Former students

Chandan Bharti
Abhiram B R, PhD
Gopika Ajith, PhD
Hridya P, Postdoctoral Scholar
Md. Nurtaj Hossain, ME followed by PhD
Srikara Pranesh, PhD
Soumyadipta Sarkar, PhD
Anup Suryawanshi, PhD
Anoop Krishnan, PhD
Santhosh Kumar Tutika, ME
Shalu Choudhary, MSc(Engg.)
Mohd. Ataullah Khan, ME
Subhayan De, ME (Jointly supervised by Prof. C S Manohar)
Madhav S Kumar, ME
Mriganka Roy, ME
Agnimitra Dasgupta, MTech
U Chandrasekhar, MTech
Chandan Bharti, MTech
Rupesh Yawale, MTech
Shashikant Kumar, MTech
Satyam Jha, MTech
Rohit Sachdeva, MTech (Jointly supervised by Prof. C S Manohar)
Sanjay Amritraj, MTech
Ayush Kumar, MTech
Subham Bose, MTech
Pavan Kalyan, MTech
Umesh Malviya Kumar, MTech
Samarthya Tomar, MTech
Prashank Singh Yadav, MTech
Abhishek, MTech