Senior Engineer at CSIRO (Space and Astronomy, Australia's national science agency) Focused on FPGA systems, high-performance computing, and electromagnetic modelling.

I work at the intersection of hardware, computation, and physical modelling. My experience covers FPGA design, numerical solvers, and system-level optimisation, from low-level RTL through to containerised HPC applications.

I have contributed to projects involving reliability in digital systems, shared-memory architectures, and electromagnetic simulation. My approach combines practical engineering with mathematical insight to design efficient and reproducible systems.

• FPGA Design and Reliability - Verilog/VHDL, DDR interfaces, timing closure, and fault tolerance.
• Parallel and High-Performance Computing - Trilinos, semaphore-based parallelism, and distributed computation.
• System and Numerical Modelling - Electromagnetic and nonlinear systems, PDE solvers, and finite-element analysis.
• Programming and Tools - C/C++, VHDL/Verilog, Python, Bash, Make, Mathematica, and Git.

An FPGA-based market data feed handler developed for low-latency trading environments. Implements a fully streaming hardware pipeline for message parsing, order-book updates, and deterministic output timing.

• Modular architecture in Verilog/SystemVerilog.
• Includes build scripts and simulation automation using TCL and shell utilities.
• Demonstrates capability in timing optimisation, and clock-domain crossing.

A Docker environment for high-performance computing using the Trilinos library suite. Provides a reproducible platform for developing parallel Maxwell and Helmholtz solvers.

• Pre-built container with Trilinos (Tpetra, Belos, Ifpack2) on Ubuntu.
• Integrated with Jupyter and ParaView for interactive analysis.
• Suitable for cloud or local execution on multi-core systems.
• Supports numerical benchmarking and algorithmic prototyping.

Explores quantised neural networks for financial time-series prediction and FPGA deployment using Brevitas and FINN.

• End-to-end pipeline from training to ONNX export.
• Converts models into streaming dataflow architectures for hardware inference.
• Investigates latency and precision trade-offs in quantised inference.

Implements evolutionary optimisation on shared-memory systems using semaphores in C++. Demonstrates methods for coordinating memory access and task synchronisation in multi-core environments.

A Mathematica-based toolkit for simulating transient behaviour in multiconductor transmission lines. Useful for EMC and high-frequency studies in converters and machines.

• DDR2-FPGA Interface: practical DDR2 controller design for FPGA integration.
• FPGAReliability: concise guide to designing fault-tolerant FPGA systems.
• Fractal Analysis Toolset: symbolic extraction of fractal dimensions from time-series data.
• Black-Box State-Space Reconstruction: reconstructing system dynamics from observable data.
• MergeSort and LFSR: reference C implementations for algorithm design and testing.

• Low-latency FPGA design and deterministic dataflow systems.
• Parallel solvers and scalable numerical simulation.
• Nonlinear and chaotic system analysis.
• Subsonic Continuum Electromagnetic Modelling: Wave and force interaction.
• Lightning and Laser Interaction.

Thank you for visiting my profile. I welcome discussions on FPGA, HPC, and applied modelling.

• Email: [email protected]
• LinkedIn: linkedin.com/in/mahdikamer
• ORCID: 0000-0003-2096-4184