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Hi there πŸ‘‹

Dr. Chandan Bose has recently joined as an Assistant Professor of Aerospace Engineering at the School of Metallurgy and Materials, University of Birmingham. His research group will be focussed on investigating a variety of complex multiphysics problems involving coupled nonlinear interactions, among which unsteady aerodynamics, nonlinear aeroelasticity, and bio-inspired fluid-structure interaction problems will be of primary interest.

Before joining the University of Birmingham, Dr. Bose played a pivotal role as a senior postdoctoral research associate contributing to an ERC project β€œDandidrone” at the Vortex Interaction Laboratory, University of Edinburgh. His work revolved around deciphering the intricate fluid-structure interaction dynamics inherent in dandelion seed propulsion, culminating in its application to the development of microdrones. Additionally, he also served as an adjunct lecturer at the School of Engineering, University of Edinburgh.

Earlier in his career, Dr. Bose embarked on a postdoctoral endeavor at the University of Liege, Belgium, during which he was bestowed with the Wallonie Bruxelles International Excellence Postdoctoral Fellowship and FNRS Postdoctoral Fellowship. This tenure was dedicated to unraveling the complexities of nonlinear aeroelasticity.

His academic journey commenced at the Department of Applied Mechanics, Indian Institute of Technology Madras, India, where he earned both his master's and Ph.D. degrees in 2019. His Ph.D. research was on the dynamical analysis of the unsteady flow phenomena around a flapping wing through high-fidelity numerical simulations and wind tunnel experiments. Noteworthy accolades, including the Institute Research Award and V. Ramamurthy Best Thesis Award (both from IIT Madras), as well as the esteemed Indian National Academy of Engineering Innovative Project Award, underscored the significance of his contributions to doctoral research. His educational voyage commenced with a graduation in Civil Engineering from Jadavpur University, India, where he clinched the university gold medalist title, standing at the pinnacle of his batch.

His broad areas of interest are:

  • Fluid-Structure Interactions
  • Unsteady Aerdynamics.
  • Multi-Phase Flows.
  • Nonlinear Dynamics and Chaos.
  • High Performance Computing.
  • Machine Learning in Fluid Mechanics.

Publications

Google Scholar ResearchGate

Contact

I would love to hear from enthusiastic individuals/groups actively working in the broad area of my research interest to explore possible corridors of collaboration. You can reach me at: [email protected]/ [email protected]

Chandan Bose's Projects

6s083 icon 6s083

Materials for MIT 6.S083 / 18.S190: Computational thinking with Julia + application to the COVID-19 pandemic

aerosolved icon aerosolved

AeroSolved is a Computational Fluid Dynamics code, based on the OpenFOAM software package, for simulation of the generation, transport, evolution and deposition of multispecies aerosol mixtures.

basics icon basics

πŸ“š Learn ML with clean code, simplified math and illustrative visuals.

basics_of_hpc icon basics_of_hpc

The example codes discussed in the course are available here.

build-instructions icon build-instructions

Contains build scripts and instructions for software on a variety of UK HPC resources

cfd3d icon cfd3d

A CFD solver using the incompressible Navier-Stokes equations in 3D.

cfd_from_scratch icon cfd_from_scratch

2D incompressible Navier Stokes solver written in Python for a lid-driven cavity

cfdpython icon cfdpython

A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

cnn-sindy-mlrom icon cnn-sindy-mlrom

Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.

cphy icon cphy

Class materials for computational physics course

cupydo icon cupydo

FSI tools for partinioned coupling between generic solid and fluid solvers

cxxexplorer icon cxxexplorer

This repo builds a JupyterHub/Jupyter notebook server which offers an interactive C++ experience. The primary interface for this is through cling notebooks (cling is the C++ interpreter). We extend the cling notebook with certain magics, (namely %%writefile and %%bash). However, additionally, we provide a %%cling magic cell for python notebooks, and a @py11 decorator--a way to create on-the-fly C++ functions using Pybind11.

datadrivendynsyst icon datadrivendynsyst

Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems

deepfoil icon deepfoil

Deep Learning based method to try and learn the problem of inverse Navier Stokes and model the flow for an oscillating airfoil.

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