I build research software and data-driven mechanics methods that make structural simulation faster, more reliable, and easier to translate into resilient infrastructure.
My work sits at the intersection of computational mechanics, high-performance computing, and AI-assisted engineering simulation.
Error-driven refinement and inter-mesh transfer for accurate, efficient structural simulation.
Read the PyAdMesh case study →02 · COMPUTEResearch software that makes finite-element workflows faster, reproducible, and open.
See PyAdMesh research →03 · AI FOR ENGINEERINGEvolutionary and policy-learning methods for difficult exploration, inverse problems, and engineering intelligence.
Read the CMA-MAPPO case study →These projects connect published methods to practical tools for structural simulation, optimization, and resilient infrastructure.
Research: I investigated how covariance-matrix adaptation can improve exploration when multiple agents receive limited or delayed feedback.
My contribution: I integrated CMA-ES with multi-agent PPO, designed the training workflow, and evaluated convergence and cumulative reward against baseline algorithms.
Read the full case study →Research: I studied how error-driven h-adaptive meshing and inter-mesh transfer can focus computation where a structural solution needs it most.
My contribution: I developed the open-source implementation and GPU/CPU acceleration workflow, reporting speed-ups of up to 30× on GPU and 8× on CPU.
Read the full case study →Research: My master’s research explored accelerating two-dimensional adaptive finite-element analysis with general-purpose GPU computing.
My contribution: I formulated the adaptive workflow, implemented the parallel computation, and evaluated accuracy and runtime for engineering analysis.
Read the PyAdMesh case study →I am extending this work toward physics-informed model updating from sparse frequency-response measurements, seismic performance of resilient systems, and hierarchical active damping.
Explore the research agenda →I publish implementation details, benchmarks, and reproducible code so the engineering community can build on the work.
Adaptive finite-element software for error-driven refinement and inter-mesh data transfer, with CPU and GPU execution paths.
Read the research case study →Inspect the repository ↗A hybrid evolutionary and multi-agent reinforcement-learning framework for better exploration in cooperative sparse-reward environments.
Read the research case study →Inspect the repository ↗A production-oriented system for role-based approvals, project monitoring, and financial tracking.
Inspect the repository ↗Engineering practice, academic training, and an open-source mindset shape how I approach every research problem.
At the Iranian Red Crescent Society, I review structural designs, coordinate compliance, and build internal tools for project monitoring.
See my experience →My thesis at Khajeh Nasir Toosi University of Technology focused on two-dimensional adaptive finite-element analysis using GPGPU computing.
Download my CV ↓I connect structural engineering practice with reproducible software and data-driven methods—turning demanding simulation problems into tools, evidence, and research others can build on.
Read my professional profile →My application combines demonstrated research output, engineering context, and software that makes the work testable by a research group.
Three journal publications, first-author work, and open repositories show that I can take a technical idea from formulation to evaluation.
Python, GPU computing, PyTorch, OpenSeesPy, and adaptive FEM experience let me contribute to computational projects from the first semester.
I want to connect adaptive simulation and physics-informed learning to structural health monitoring, seismic resilience, and active control.
Every headline connects to a paper, thesis, repository, or documented engineering role.
I am seeking a fully funded PhD in Australia where adaptive finite elements, high-performance computing, and scientific machine learning can advance safer, more resilient structures.