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Hi there ๐Ÿ‘‹

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 โ€œDandidroneโ€ 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

libcfd2lcs icon libcfd2lcs

Calculate Lagrangian Coherent Structures (LCS) from time dependent flows.

life icon life

A parallel lattice Boltzmann-immersed boundary-finite element (LIFE) solver for fluid-structure interaction.

machine-learning icon machine-learning

Implementation of different ML Algorithms from scratch, written in Python 3.x

machine-learning-and-simulation icon machine-learning-and-simulation

All the handwritten notes ๐Ÿ“ and source code files ๐Ÿ–ฅ๏ธ used in my YouTube Videos on Machine Learning & Simulation (https://www.youtube.com/channel/UCh0P7KwJhuQ4vrzc3IRuw4Q)

marl_les icon marl_les

Repository for data and scripts of "Automating Turbulence Modeling by Multi-Agent Reinforcement Learning"

mf-lbm icon mf-lbm

MF-LBM: A Portable, Scalable and High-performance Lattice Boltzmann Code for DNS of Flow in Porous Media

ml-cfd-lecture icon ml-cfd-lecture

Lecture material for machine learning applied to computational fluid mechanics

mltg_prfluids2019 icon mltg_prfluids2019

Sample code for machine learning based inflow turbulence generator by Fukami et al. (PRFluids, 2019)

modulo icon modulo

MODULO (MODal mULtiscale pOd) is a software developed at the von Karman Institute to perform Multiscale Modal Analysis of numerical and experimental data using the mPOD.

moose icon moose

Multiphysics Object Oriented Simulation Environment

naca icon naca

Generate 4 and 5 digit NACA airfoil sections

navier-stokes-numerical-solution-using-fdm-fvm-python-scripting icon navier-stokes-numerical-solution-using-fdm-fvm-python-scripting

Python script for Linear, Non-Linear Convection, Burgerโ€™s & Poisson Equation in 1D & 2D, 1D Diffusion Equation using Standard Wall Function, 2D Heat Conduction Convection equation with Dirichlet & Neumann BC, full Navier-Stokes Equation coupled with Poisson equation for Cavity and Channel flow in 2D using Finite Difference Method & Finite Volume Method.

new_website icon new_website

a fork of https://jonbarron.info/ for use in jekyll builds with markdown page updates

ofw16-training icon ofw16-training

Material for the preCICE training session at the OpenFOAM Workshop 2021

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