|
Bhavesh Shrimali |
|
I am a Lead Scientist in the Virtual and Digital R&D team in the Corporate Research Organization at Kimberly-Clark (KC). I work on all aspects of Modeling and Simulation as well as Machine Learning as it applies to KC products and services. I hold a Ph.D. in Computational Mechanics from UIUC where I was advised by Prof. Oscar Lopez-Pamies. I also hold a MS in Computer Science (Scientific Machine Learning) where I was advised by Prof. Arindam Banerjee. Prior to this I graduated with a Master's in Civil Engineering, with a minor in Computational Science and Engineering (2017), from UIUC. Earlier still, I graduated with a B.Tech in Civil Engineering from IIT Guwahati in 2015, where I was an Institute Silver medalist, ranking first in the graduating class. During my undergraduate degree, I spent two wonderful summers as a research intern at TU Braunschweig, as a DAAD-WISE fellow in 2014, and at HKUST in 2013. I also hold the NTSE (2007) and KVPY (2009) fellowships both awarded by the Govt. of India. Email / CV / GitHub / Google Scholar / LinkedIn |
|
|
I'm interested in solving fundamental problems in Solid Mechanics, Applied Math and Machine Learning. I have been very fortunate to have gotten a chance to work on various fundamental problems in Mechanics, spanning from Homogenization to Fracture in solids. More recently as part of my Master's thesis in Machine Learning, I have been working on theoretically understanding why the recent Scientific Machine Learning models (such as DeepONets/FNO's) work, and more importantly why do they converge. Roughly, the following are the two major thrusts of my current research: 1. High Performance FE Codes: I work on developing parallel FE solvers often wrapped around the FEniCS (dolfin/dolfinx) library and PETSc to solve multiphysics problems. I am also profcient in programming Abaqus User Subroutines (UHYPER/UEL). A sample implementation illustrating our recent work is here and an old UEL implementation (Fortran) is here 2. Developing Macroscopic Theories: I also work on developing homogenization-based solutions (often grounded in variational techniques) to describe the multiphysics response of heterogeneous materials. A fundamental goal is to obtain mathematical bounds on the finite-macroscopic-mechanical response of heterogeneous materials. 3. OSS Contributions: During my free time, I like to contribute to open-source FE codes. Most notably, I have contributed to scikit-fem and Ferrite.jl. 1. Neural Operators: I am interested in developing fast Neural Operators to approximate solution operators of parametric PDEs. I'm also interested in proving convergence properties of these operators vis-a-vis optimization. 2. Hybrid NN+FE Solvers: I am working on developing hybrid solvers that can leverage both the classical approaches and modern ideas such as PINNs, FNOs etc. |
|
|
 |
The trousers fracture test for viscoelastic elastomers.
|
 |
The delayed fracture test for viscoelastic elastomers
|
 |
The “pure-shear” fracture test for viscoelastic elastomers and its revelation on Griffith fracture
|
 |
The nonlinear viscoelastic response of suspensions of vacuous bubbles in rubber: I — Gaussian rubber with constant viscosity
|
 |
The nonlinear viscoelastic response of suspensions of rigid inclusions in rubber: I — Gaussian rubber with constant viscosity
|
 |
The remarkable bending properties of perforated plates
|
 |
A simple explicit model constructed from a homogenization solution for the large-strain mechanical response of elastomeric syntactic foams
|
 |
A simple explicit homogenization solution for the macroscopic elastic response of isotropic porous elastomers
|
|
1. International Journal of Nonlinear Mechanics 2. Extreme Mechanics Letters 3. Journal of Applied Mechanics 4. Acta Mechanica 5. Journal of Thermal Stresses |
|
|
|
|
|
|
|
| IIT Guwahati 2011-2015 |
HKUST, Hong Kong Summer 2013 |
TU Braunschweig, Germany Summer 2014 |
DAAD Young Ambassador 2014-2015 |
UIUC 2015-2023 |
|
|
| May 2023 | Started working at Kimberly-Clark (KC) as a Lead Scientist in the Virtual R&D team. |
| April 2023 | Defended my thesis and graduated with a Ph.D. in Mechanics and MS in Computer Science. |
| Mar 2020 | Recipient of the annual travel fellowship by the Structures group at UIUC (awarded annualy to ~5 students from the department). |
| Dec 2019 | I was ranked as an "Outstanding TA" for the second time. [Jupyter Notebooks] |
| Sep 2019 | SES 2019 Minisymposium on Soft materials: I presented our work on "Homogenization of Porous Elastomers" at SES 2019, St. Louis. [slides] |
| May 2019 | Competed my first semester as a TA for an advanced Ph.D course (CEE598) on "Constitutive Modeling". |
| Dec 2018 | Completed my second term as the TA for "Structural Mechanics". Also, formally completed the coursework requirements for my Ph.D. |
| May 2018 | Completed my first semester as the TA for a graduate course on "Finite Element Methods" where I also taught two lectures. |
| Dec 2017 | Completed my first semester as the TA for "Structural Mechanics". I was ranked as an "Outstanding TA". |
| May 2017 | I graduated with a MS in Civil Engineering and with minor in Computatioal Science and Engineering. Continuing for Ph.D. at Illinois. |
| May 2017 | Completed my first term as the TA for CS 357: "Numerical Methods". Held office hours and designed problem sets and (auto-graded) solutions through RELATE. Also, post-processed MOSS results. |
| Mar 2017 | Delivered a 3 hour hands-on workshop on using LATEX in scientific writing. |
| Dec 2016 | Completed two semesters as a TA for CS 125. My duties included holding office hours and designing machine problems in Java. |
| Jun 2015 | Graduated with a B.Tech in Civil Engineering from IIT Guwahati. I received the Institute Silver Medal for ranking first in the graduating class. Also delivered the graduating speech (video) |
| Template credits Jon and Unnat. |