Basma Tech
Physics-Based Simulation, Engineering Automation, and ML-Assisted Product Development
Physics-Based Simulation, Engineering Automation, and ML-Assisted Product Development
Physics-Based Simulation, Engineering Automation, and ML-Assisted Product Development.
Tariq Dinar, Ph.D. — Independent Engineering Consultant
Basma Tech is the independent engineering consultancy of Tariq Dinar, Ph.D. — a computational scientist and mechanical engineer with 20+ years of experience building high-performance simulation software, automated CFD and FEA pipelines, and ML-driven engineering workflows.
My work sits at the intersection of physics-based simulation, scientific computing, and machine learning — delivering engineering solutions that are rigorous, reproducible, and scalable.
Core conviction: Virtual trials replace costly physical ones. Every engagement is built around that principle.
OpenFOAM-based CFD for internal and external flow, multiphase simulation, conjugate heat transfer, and reactive transport. Fully automated parametric pipelines deployed on Google Cloud HPC infrastructure — reducing simulation wall time from weeks to hours.
Nonlinear FEA using Abaqus and Marc — plasticity, fracture, fatigue, thermo-mechanical coupling, and contact mechanics. Custom UMAT subroutine development extending Abaqus constitutive modeling capabilities for specialized material behavior.
Gaussian Process surrogate models trained on large-scale simulation datasets for efficient design space exploration, inverse problem solving, and parameter recovery. Bayesian-style optimization using L-BFGS-B for systematic identification of optimal designs with minimal simulation runs.
End-to-end parametric pipelines from geometry generation through post-processing — integrating CAD, meshing, solver execution, and results extraction into automated workflows operable by engineering teams without deep CFD or FEA expertise.
Google Cloud Platform deployment of simulation workloads using Spot Virtual Machines for cost-efficient HPC. Automated pipeline orchestration, containerization, and CI/CD for engineering workflows.
Environmental Hydraulics, 2026
OpenFOAM interFoam VoF optimization of baffle configurations for fish passage across two engagements — a 10.5m AASHTO corrugated pipe-arch and a DN1200 concrete pipe with tailwater-controlled outlet conditions. Delivered a single parametric Python pipeline covering STL generation, snappyHexMesh dictionaries, boundary condition templates, and post-processing renders. GCP HPC deployment reduced wall time from weeks to hours.
Oil and Gas R&D, 2025–2026
Built an automated inversion pipeline using large-scale parametric OpenFOAM CFD runs and a Gaussian Process surrogate to recover kinetic parameters from experimental etch profiles. Best-fit result outperforms all prior attempts on this system — demonstrating the power of surrogate-driven optimization for expensive simulation campaigns.
2024–Present
Cloud-native API integrating parametric toroidal and conventional propeller geometry generation using CadQuery and OCCT, automated OpenFOAM CFD pipelines, and Gaussian Process surrogate optimization deployed on Google Cloud Platform. Currently in final validation and regulatory compliance review prior to deployment.
OpenFOAM simulation campaigns for internal flow, external aerodynamics, conjugate heat transfer, free surface flow, and reactive transport. Automated parametric pipelines with cloud HPC deployment.
Nonlinear FEA for structural integrity, fatigue life estimation, thermal analysis, and thermo-mechanical coupling using Abaqus and Marc. Custom UMAT subroutine development for specialized material models.
Gaussian Process surrogate models trained on simulation datasets for design space exploration, inverse problem solving, and optimal design identification — reducing simulation overhead while expanding engineering insight.
Python-based automation of CAD-to-solver workflows, parametric study execution, results extraction, and post-processing. Reusable, version-controlled pipelines delivered through Git repositories.
Customized training programs in CFD, FEA, and simulation-driven product development for engineering teams in Oil and Gas, Petrochemical, Aerospace, and Industrial applications.
Tariq Dinar, Ph.D.
support@basma-tech.com
Weehawken, NJ, USA
LinkedIn
Available for consulting engagements, long-term collaborations, and research partnerships in simulation, CFD, FEA, and ML-assisted engineering.