Ahmed Almeldein

Postdoctoral Research Associate - Computational Fluid Dynamics @Oak Ridge National Laboratory

Oak Ridge, TN, US
MOBILE NUMBERS
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WORK HISTORY

Jul 2024 — Present

Postdoctoral Research Associate - Computational Fluid Dynamics @Oak Ridge National Laboratory

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Oak Ridge, TN, US

EDUCATION

N/A

University of Massachusetts Lowell

Doctor of Philosophy - PhD, Mechanical Engineering

2007 — 2011

Cairo University

Master of Science (M.Sc.), Aerospace Engineering

2001 — 2006

Institute of Aviation Engineering and Technology (IAET)

Bachelor's degree, Aeronautical/Aerospace Engineering

SKILLS

Heat TransferSimulinkFluid MechanicsFinite Element AnalysisProject PlanningTeam BuildingHypersonicMatlabTurbinesModelingCompositesTeam LeadershipAeroelasticityMathematical ModelingResearchData AnalysisMicrosoft OfficeSimulationsFluid DynamicsSolidworksPropulsionStructural AnalysisAerodynamicsProgrammingOptimizationAerospace EngineeringAnalysisAeronauticsNumerical AnalysisStructural DynamicsTurbulenceAlgorithmsTecplotPublic SpeakingTeachingTurbomachineryComputational Fluid Dynamics (Cfd)CfdAnsysAircraft Design

ABOUT AHMED ALMELDEIN

Computational Scientist | Multiphysics Modeling & Physics-Informed MLI work at the intersection of physics-based modeling and machine learning to transform complex simulations into efficient, predictive tools. My approach focuses on identifying the relevant physical phenomena in a system and applying the most appropriate modeling framework to enable scalable engineering solutions.Current Work (ORNL):• Fusion energy: ML-integrated OpenFOAM solvers for helium-cooled first-wall channels (≈20× speedup)• Combustion systems: Optimization of hydrogen-flexible industrial burners• Nanoparticle synthesis: Reduced-order PBM models (weeks → <1 hour)• Additive manufacturing: Modeling of coupled thermal-fluid and material processes (early-stage work)Research Background:• Physics-Informed ML (PhD): PINN & MoE architectures replacing chemical kinetics solvers (≈200× GPU speedup)• Data-driven combustion modeling (ANL): PCA & clustering for flamelet acceleration• Multiphysics systems: Nanofluid combustion (KAIST) and propulsion modeling (M.Sc.)My work is focused on enabling efficient simulation, design, and optimization of advanced energy and process systems.

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