• Challenge: Systematic underprediction of drug and osmotic agent release rates in a dual-compartment co-delivery device, driven by a time-varying solid–liquid interface and nonlinear solubility dependencies not captured by CFD models.

• Method: Built a 2D multiphysics COMSOL model coupling Navier–Stokes, convection–diffusion mass transport, and Population Balance dissolution ODEs. Automated parametric sweeps via a Python–COMSOL API pipeline with RMSE-guided Bayesian optimization, then trained Random Forest surrogate models on the CFD-generated dataset.

• Achievement: Identified and formulated a dynamic convective flux mechanism, closed the osmotic agent mass balance, and replaced computationally expensive finite-element parametric runs with fast ML surrogates — drastically reducing design-space search time.

• Challenge: Optimizing mass transport and selectivity performance parameters during extraction of lithium ions from black mass leachates using ED system.

• Method: Developed and cross-validated comprehensive CFD transport frameworks focusing closely on Selective Monovalent Cation Exchange Membranes (SCEM).

• Achievement: Contributed functional system metrics assisting internal CAD module designs and targeted parameters for custom manufacturing loops.

• Challenge: Overcoming fluidic mass transport dead-zones and high overpotentials present in standard rectangular electrolysis cell form factors.

• Method: Designed and simulated a distinct round-cell geometry utilizing multiphase fluid transport mechanics combined with automated Balance of Plant (BOP) analytical code.

• Achievement: Successfully verified mass tracking configurations that yielded up to a 30% reduction in net electrochemical energy expenditure.

• Challenge: Bypassing the prohibitive economic investment required for noble-metal catalysts within standard green hydrogen stacks.

• Method: Evaluated the multi-physics behavior of a high-performance hydroxyl exchange membrane (HEM) system utilizing porous Nanomesh configurations.

• Achievement: Validated a robust, noble-metal-free ceramic membrane system execution that successfully preserves strong operational yields.

• Challenge: Ensuring optimal fluid percolation distributions in gas diffusion layers under intense mechanical compression stack forces.

• Method: Constructed non-linear stress-coupled electrochemical transport models mapping structural boundaries for a 300 cm² setup.

• Achievement: Precisely tracked critical percolation threshold metrics, protecting large-scale CO₂ electrolyzer units from physical mass flow chokes.

• Challenge: Isolating high-durability, efficient selective layers capable of supporting concurrent electrochemical synthesis during lime production lines.

• Method: Deployed continuum fluidic transport simulations inside COMSOL to map local chemical boundaries and ionic degradation rates.

• Achievement: Formulated structured criteria guiding membrane screening steps for low-carbon industrial production generating calcium hydroxide.

• Challenge: Mitigating heavy coke deposits formed during ethylene-ethane pyrolysis that spike fuel consumption, drop throughput, and force regular, costly shutdowns every 45–60 days.

• Method: Developed high-fidelity CFD simulations coupling complex aerothermal fields (combustion, conduction, convection, radiation) with transient thermal stresses to optimize insulated, heat-resistant bottom-injection manifolds.

• Achievement: Officially patented and successfully deployed an in-situ combustion technology at a live petrochemical plant, routing coke effluents directly into combustion chambers to eliminate decoke drum operations and reduce greenhouse gas emissions.

• Challenge: Secondary flow losses in industrial process pumps restrict flow capacity and compromise plant operating efficiency.

• Method: Implemented high-fidelity 3D CFD models (ANSYS-CFX) to evaluate operational parameters and optimize internal impeller blade geometry.

• Achievement: Validated redesigns delivered a 10.6% to 59.6% capacity increase across four process pumps while maintaining required head delivery.

• Challenge: Achieving high oxygen concentration uniformity during throughput expansion scaling loops in industrial Monoethylene Glycol (MEG) arrays.

• Method: Conducted a rigorous high-velocity multi-component mixing CFD evaluation optimizing internal geometric injector nozzle properties.

• Achievement: Validated a re-engineered internal profile layout that yields elevated mixing qualities across targeted flow streams.

• Challenge: Preventing localized hotspot build-up and extreme thermal degradation in high-capacity LiFePO4 battery packs during elevated discharge rates.

• Method: Conducted high-fidelity advanced CFD simulations coupled with electrochemical-thermal transient multi-field modeling approaches.

• Achievement: Engineered a novel coolant flow field that limited overall thermal gradients to within 5K while preserving an optimal 25-40°C threshold at 4C discharge states.

• Challenge: Mitigating species crossover and tracking complex electrokinetic fluxes that degrade capacity over time in large-scale energy storage flow cells.

• Method: Built advanced multi-physics transport models strictly resolving the coupled Poisson-Nernst-Planck (PNP) equations inside ion-selective layers.

• Achievement: Accurately simulated dynamic charge distributions and ionic flux pathways, giving explicit criteria to optimize membrane selectivities.