Personal Information
Full Name: Prof. Susmita Naskar
Room No: 201A, Aerospace Main Building
Phone: 25767107
Email: susmita[at]

Specialization: Structures


    Professional Experience:

    • Assistant Professor:  Indian Institute of Technology Bombay  (2019- present)

               Department of Aerospace Engineering

               Center for Machine Intelligence and Data Science (C-MInDS) 

    • Postdoctoral research fellow:  Johns Hopkins University (2018-2019)

                Whiting School of Engineering

                 Hopkins Extreme Materials Institute


     Educational background:

    • PhD in Engineering: University of Aberdeen, UK (2015-2018)
    • M. Tech. in Structures: Indian Institute of Technology Delhi, India (2012-2014)

Awards & Fellowships

    • Young Achievers Awarded by Institute of Scholars
    • Young Woman in Engineering Award by 5th Venus International Women Awards - VIWA 2020
    • Young Faculty Award by Indian Institute of Technology Bombay, Mumbai, India
    • Our paper Condition assessment and strengthening of aged structures: Perspectives based on a critical case study has been selected to be featured in the Editor’s Choice section of the Practice Periodical on Structural Design and Construction page in the ASCE Library​
    • Selected as a researcher to represent India for 70 ideas for 70 years campaign from the British Council, UK for pursuing research during Ph.D. at University of Aberdeen, UK​
    • Lloyd’s travel grant from LRF Centre for Safety and Reliability Engineering (2017) for attending International Conference on Composite Structures (ICCS20), Paris, France
    • Represented as the face of the university as a bright international student at the University of Aberdeen, UK.
    • Awarded the prestigious Lloyd’s Scholarship from LRF Centre for Safety and Reliability Engineering to pursue PhD at University of Aberdeen, UK
    • Commended for 'Best thesis' from IIT Delhi for FIIT award (2014)
    • M. Tech thesis has been selected among top 10 projects across the globe at the University of Trento, Italy during Smart Materials structures and Systems with fully funded scholarship (International Summer school program)
    • Received financial grant from MHRD for attending the International Conference on Advances in Mechanical, Automobile and Aerospace Engineering and the 7th ISSS International Conference on Smart Materials, Structures and Systems at IISc, Bangalore
    • Received gold medal in an inter-school competition in Mathematics organized by West Bengal Government.

Refereed Journal Publications:

 *note: All papers are indexed in SCI/ SCI Expanded/ WoS

  • Mukhopadhyay T., Naskar S., Adhikari S. (2020) Anisotropy tailoring in geometrically isotropic multi-material lattices, Extreme Mechanics Letters, Elsevier Publication (In Press)
  • Mukhopadhyay T., Mahata A., Naskar S., Adhikari S. (2020) Probing the effective Young's modulus of `magic angle' inspired multi-functional twisted nano-heterostructures, Advanced Theory and Simulations, Willey Publication (In Press)
  • Mukhopadhyay T., Naskar S., Chakraborty S., Karsh P. K., Choudhury R., Dey S., (2020) Stochastic oblique impact on composite laminates: A concise review and characterization of the essence of hybrid machine learning algorithms, Archives of Computational Methods in Engineering, Springer Publication (In Press)
  • Kumar R.R., Mukhopadhyay T., Naskar S., Pandey K.M., Dey S., (2019) Stochastic low-velocity impact analysis of sandwich plates including the effects of obliqueness and twist, Thin-Walled Structures, Elsevier Publication, 145 106411
  • Karsh P.K., Mukhopadhyay T., Chakraborty S., Naskar S., Dey S., (2019) A hybrid stochastic sensitivity analysis for low-frequency vibration and low-velocity impact of functionally graded plates, Composites Part B: Engineering. Elsevier Publication, 176 107221
  • Mukhopadhyay, T., Naskar, S., Dey, S., Chakrabarti, A. (2019) 'Condition assessment and strengthening of aged structures: Perspectives based on a critical case study'. Practice Periodical on Structural Design and Construction. ASCE Publication, 24 (3), 05019003
  •  Dey, S., Mukhopadhyay, T., Naskar, S., Dey, TK., Chalak, HD. & Adhikari, S. (2019) Probabilistic characterization for dynamics and stability of laminated soft core sandwich plates'. Journal of sandwich structures and materials. SAGE Publication, 21(1) 366 – 397
  • Naskar S., Mukhopadhyay T., Sriramula S., (2019) Spatially varying fuzzy multi-scale uncertainty propagation in unidirectional fibre reinforced composites, Composite Structures. Elsevier Publication, 209 940-967
  • Mukhopadhyay T., Naskar S., Karsh P. K., Dey S., You Z., (2018) Effect of delamination on the stochastic natural frequencies of composite laminates, Composites Part B: Engineering. Elsevier Publication, 154 242-256
  • Naskar S., Mukhopadhyay T., Sriramula S., (2018) Probabilistic micromechanical spatial variability quantification in laminated composites. Composites Part B: Engineering. Elsevier Publication, 151 291-325
  • Naskar, S., Mukhopadhyay, T., Sriramula, S. & Adhikari, S. (2017) Stochastic natural frequency analysis of damaged thin-walled laminated composite beams with uncertainty in micromechanical properties. Composite Structures. Elsevier Publication, 160 312-334 'Most Read Article' (as on January, 2017) 
  • Dey, S., Naskar, S., Mukhopadhyay, T., Gohs, U., Spickenheuer, A., Bittrich, L., Sriramula, S., Adhikari, S. & Heinrich, G. (2016). Uncertain natural frequency analysis of composite plates including effect of noise – A polynomial neural network approach. Composite Structures. Elsevier Publication, 143 130-142
  • Mukhopadhyay, T., Naskar, S., Dey, S. & Adhikari, S. (2016). On quantifying the effect of noise in surrogate based stochastic free vibration analysis of laminated composite shallow shells.  Composite Structures. Elsevier Publication 140 798–805
  • Naskar, S. & Bhalla, S. (2015) Metal-wire-based twin one-dimensional orthogonal array configuration of PZT patches for damage assessment of two-dimensional structures. Journal of Intelligent Material Systems and Structures. SAGE Publication, 27(11) 1440-1460

 Book Chapter:

  • Naskar S., Mukhopadhyay T., Sriramula S. (2018) A comparative assessment of ANN and PNN model for low-frequency stochastic free vibration analysis of composite plates, Handbook of Probabilistic Models for Engineers and Scientists, Elsevier Publication, Forthcoming 
R&D Areas/Projects: 

    Research Interest​:

    Machine Learning assisted Uncertainty quantification,  Nanocomposites, Finite Element, Energy Harvesting, Smart Materials, Digital manufacturing, Composite materials, 3D printing, Surrogate modeling, Finite elements, meshfree/particle methods, dynamics of flexible structures, Dynamic Deformation of Materials, Metamaterials, Optimization, and control

Courses Taught: 

Aerospace Structural Mechanics

AE669- Machine Learning based Uncertainty Qualification for Composites (*Introduced to the curriculum)