Dr. Sofen Kumar Jena
Advanced Modelling Specialist Bridging Industrial R&D and Academic Research in Green Hydrogen & Thermal-Fluid Sciences
Professional Engineer | Researcher | Author | Educator | Technical Consultant |
Advanced Modelling Specialist Bridging Industrial R&D and Academic Research in Green Hydrogen & Thermal-Fluid Sciences
Professional Engineer | Researcher | Author | Educator | Technical Consultant |
I am an industrial R&D expert in Thermal-Fluid Sciences, with a career defined by the fusion of advanced academic research and global industrial R&D. My expertise lies in deciphering complex physical phenomena to drive sustainable engineering breakthroughs.
Computational Modelling: Advanced mastery of Multiphase Flow and Turbulence Modelling (RANS/LES) to predict and optimise system behaviour.
Sustainable Energy: Specialised in Green Hydrogen production through high-fidelity modelling of alkaline water and PEM electrolysis.
Thermal Analysis: Expert in Heat Transfer optimisation and complex thermal management systems for industrial applications.
CFD Tools: ANSYS Fluent (UDF development) | Code_Saturne | STAR-CCM+
Programming: C | Python | Matlab
Pre-Processing: Space Claim | Fluent Mesher | WB Mesher | Hypermesh |
Post-Processing: Fluent | CFD Post | Tecplot 360 | Paraview
Mathematical and Statistical: Mathematica | Maple | SPSS
Documentation: LATEX | Beamer | Google slides |
LES of flow across circular cylinder for Re = 4000
With a PhD in Thermo-Fluid Science and over 11 years in global industrial R&D (Bosch, Whirlpool, Faurecia, TU Delft, UPPA, UofL), I specialise in transforming complex mathematical models into commercial innovations. My expertise spans Multiphase Flow, Turbulence (RANS/LES), and Green Hydrogen production. I am a lifelong learner dedicated to solving the next generation of renewable energy challenges through high-fidelity numerical simulation.
Volume of Fluid (VoF) | Mixture Model | Euler-Euler multiphase flow | Euler-Lagrange DPM model | Turbulent modelling (LES/RANS) | Thermal Radiation (S2S, DOM) | Porous Media Flow | Conjugate Heat Transfer | Natural Convection | Forced Convection | Mixed Convection
Extensive experience in large-scale parallel computing and numerical scalability, leveraging international supercomputing facilities, including:
GENCI-IDRIS (France): Orchestrated high-fidelity simulations using up to 1,600 parallel cores.
MCIA (Mésocentre de Calcul Intensif Aquitain): Managed complex workflows on 640 parallel cores.
DelftBlue (Netherlands) & Marvin (Germany): Conducted advanced CFD research on these premier HPC clusters.