Ivan Ehsan

COMPUTATIONAL FLUID DYNAMICS RESEARCHER · IIT BOMBAY

I study transport phenomena in complex, real-world geometries — from airflow, heat and aerosol transport in CT-reconstructed human airways to flow and combustion in engineering systems — combining patient-specific CFD simulation with hands-on experimental validation.

Open to opportunities in fluid mechanics and related fields

Research

Patient-specific biofluid mechanics

3D CFD simulations using CT-scan-reconstructed human airway geometries: airflow, heat and moisture exchange, and aerosol and nanoparticle transport under varying, unsteady respiratory conditions. Built on polyhedral meshing, species-transport modelling, Lagrangian–Eulerian particle tracking, and custom boundary conditions through user-defined functions, with systematic validation against published experimental data.

Unsteady fluid dynamics & complex flow physics

Transient simulation of fluid and particle transport under time-varying boundary conditions; high-velocity hydrogen mixing and combustion in CONVERGE CFD; custom Fluent UDF development for unsteady wall and dynamic-meshing conditions.

CFD–experiment coupled studies

At IIT Bombay, CFD analysis and experimental testing of domestic pressure regulators for LPG systems and hydrogen–air premixed micro-combustors. Earlier, at CSIR-CMERI and IIT Jodhpur: SI-engine combustion simulation, bio-fuel combustion, and design and fabrication of a micro gas turbine test rig with full optical and emissions instrumentation.

Proposed research directions

PATIENT-SPECIFIC HEMODYNAMIC MODELLING

Translating clinical imaging (CT/MRI) into high-resolution cardiovascular geometries; transient, pulsatile blood-flow physics under resting and stressed physiological conditions.

COUPLED COMPUTATIONAL–EXPERIMENTAL FRAMEWORKS

Workflows where high-fidelity CFD metrics — wall shear stress, pressure drops — are directly validated with optical and pressure–flow diagnostics on physical setups.

NUMERICAL CUSTOMISATION & DIAGNOSTIC OPTIMISATION

Custom code development (UDFs) and data-driven analysis that turn complex hydrodynamic data into clear, interpretable metrics supporting clinical decision-making.

Computational & experimental skills

ComputationalExperimental analogs
CFD solvers: ANSYS Fluent, CONVERGE, OpenFOAM, BasiliskFlow loops: DAQ systems, ALICAT mass-flow meters, Testo 350 gas analyzer
Customisation: Fluent UDF coding (C), MATLAB analysisVisualisation: High-speed Phantom cameras, CCD, StellarNet spectrometer
Post-processing: Tecplot, ANSYS post, OriginLabDiagnostics: FLIR thermography, exhaust and emissions analysis

Publications

Tracing aerosols in the human airways: The hidden role of temperature gradients
S. Samanta, I. Ehsan, H. Hirani, S. Chakraborty
International Communications in Heat and Mass Transfer, 2026
KEY FOCUS — Thermophoretic aerosol transport in CT-reconstructed nasal and oral airways using a coupled airflow–heat–particle framework.
doi:10.1016/j.icheatmasstransfer.2026.110882
Anatomically-trained patient-specific in-silico simulations for predicting thermo-regulation and humidification in human body upper respiratory pathways
S. Samanta, I. Ehsan, H. Hirani, S. Chakraborty
International Journal of Thermal Sciences, 2026
KEY FOCUS — Heat and water-vapor transport analysed across two distinct airway geometries: a nasal and an oral airway model.
doi:10.1016/j.ijthermalsci.2025.110461
Patient-specific simulation of particle dynamics in the respiratory airways from CT-scan-reconstructed images using a continuous phase modelling framework
S. Samanta, I. Ehsan, H. Hirani, S. Chakraborty
Computer Methods and Programs in Biomedicine, 2025
KEY FOCUS — Baseline computational framework for patient-specific airway reconstruction and particle dynamics.
doi:10.1016/j.compbiomed.2025.110354
Virtual experiments reveal how human anatomy shapes risk from airborne nanoparticles Under review
S. Samanta, I. Ehsan, H. Hirani, S. Chakraborty

Education

Bachelor of Technology, Mechanical Engineering

National Institute of Technology Mizoram · Aizawl, India
2018 – 2022
  • Final-year research project: Power Generation from Freestream Water Using a Hydrokinetic Savonius Turbine
  • GATE 2025 qualified (Mechanical Engineering)
Full academic CV — education, research experience, publications and skills. Download CV (PDF)

Contact

I am always happy to discuss research, collaboration, or PhD opportunities in computational fluid dynamics and biofluid mechanics.