// experience
Computational Scientist
Feb 2024 – PresentScience and Technology Facilities Council (STFC – UKRI), UK
- ›Led SPH–DEM GPU simulation of a novel hydropower turbine design using DualSPHysics, modelling air–water multiphase free-surface flow with fluid–solid coupling via Project Chrono.
- ›Implemented a dynamic Langmuir adsorption boundary condition in OpenFOAM (scalar transport + mass transfer coupling) for CO₂ direct air capture (DAC) process design.
- ›Developed reactive multiphase CFD for industrial CO₂ absorption into NaOH solvent; results used by UK industrial partners for scale-up decisions.
- ›Ported sections of the NEMO ocean model to GPU using OpenACC (Met Office collaboration); re-implemented a vector-borne disease model in JAX/XLA for GPU-accelerated parameter sweeps on real Wirral geographic data.
- ›Scoped projects jointly with industrial partners, defining work packages and milestones; presented technical results to engineering and non-technical audiences.
Process Modeller & Data Scientist
Apr 2023 – Jan 2024Pfizer
- ›Calibrated cohesive contact models in EDEM (powder blending) and Rocky (tablet compaction) against angle-of-repose, shear cell, and bulk density data for OSD manufacturing.
- ›Set up HyperStudy DoE and parametric sweep workflows, automating batch DEM runs to map mixing performance and reduce physical experiments per formulation.
- ›Built Python pipelines (Pandas, Scikit-learn) for data-driven fitting of DEM contact coefficients, replacing manual trial-and-error.
- ›Trained 3–5 engineers on EDEM from scratch; team now runs independent DEM blending studies. Delivered scale-up recommendations to formulation scientists and project governance.
Research Associate (Post-Doctoral)
Mar 2022 – Mar 2023University of Edinburgh, UK
- ›Led development of SHDEM — a spherical harmonic-based DEM package inside LAMMPS for non-convex particle geometries. Published in Computer Physics Communications (2024).
- ›Implemented contact detection for non-spherical particles; parallelised with MPI and OpenMP for large-scale HPC runs.
- ›Collaborated with EPCC and Sandia National Laboratory; authored Sphinx-based documentation, verification cases, and worked examples.
PhD Researcher
2016 – 2022Monash University – IIT Bombay (Joint Programme)
- ›Extended LAMMPS in C++ with custom fixes for self-propelled particle dynamics. Published in Soft Matter (2021).
- ›Developed stochastic simulation methodologies for active matter systems and dense suspension rheology.
// education
Ph.D., Computational Biophysics
Monash University – IIT Bombay
M.Tech., Chemical Engineering
IIT Guwahati
B.Tech., Chemical Engineering
Aligarh Muslim University
// technical-skills
Commercial Simulation Tools
Open-Source Frameworks
Simulation Methods
HPC & Parallel Computing
Programming & Data
Workflow & Optimisation
// publications-and-conferences
Imaran et al. "Spherical harmonic-based DEM in LAMMPS: implementation, verification and performance assessment." Computer Physics Communications, 2024.
doi:10.1016/j.cpc.2024.109290 →Imaran et al. "Cluster and conquer: morphodynamics of invasion of a compliant substrate by active rods." Soft Matter 17:7459–7465, 2021.
doi:10.1039/d1sm00860a →Imaran et al. "Modelling of complex-shaped granular particles using spherical harmonics." APS March Meeting, 2023; Advances in Particle Technology, Leeds, 2022.
Imaran et al. "Stigmergic furrowing by an active suspension in a soft substrate." 22nd AFMC, Brisbane, 2020.
M. Imaran & A. Singh. "Stokesian dynamics simulation of shear rate dependent rheology of dense suspensions." Int. Congress on Rheology, Kyoto, 2016.
// awards-and-fellowships
- ›Society of Rheology Student Travel Grant (2020)
- ›IITB-Monash Institute Fellowship (2016–2021)
- ›GATE Fellowship, Government of India (2014–2016)
- ›II Prize, AMU Future Energy Leaders Conclave (2013)