🔬 Senior Engineer at the Space and Astronomy division of CSIRO (Australia's national science agency) | ⚡ Electrical and Computer Engineering Specialist
📍 Based in Western Australia | 🎓 Focused on FPGA Systems, High-Performance Computing, and Electromagnetic Modelling

I am an engineer with a cross-disciplinary background in FPGA design, hardware accelerated algorithms, mathematical modelling, and electrical engineering. My academic and professional journey has been shaped by a curiosity about how physical systems can be abstracted, modelled, and optimised through computation.

With a PhD in Electrical Engineering and over seven years of specialised experience as an FPGA engineer, I have contributed to research at the intersection of hardware and software, particularly in the reliability of digital systems, shared memory architectures, and parallel computing.

My work spans from low-level C and RTL design to symbolic modelling in Mathematica, often integrating physical modelling techniques with computational frameworks to study complex systems.

• FPGA Design & Reliability – Verilog/VHDL, DDR interfacing, fault-tolerant systems.
• Parallel Computing – Semaphore synchroisation, evolutionary cpmputing.
• System Modelling – Multiconductor transmission lines, chaotic systems, nonlinear control systems, finite element analysis.
• Symbolic Computation – Using Wolfram Mathematica for modelling nonlinear systems, particularly nonlinear switched algebraic diefferential systems of equations.
• Languages & Tools: C/C++, VHDL/Verilog, Mathematica, Git, Make, Bash, Python.

An exploration of evolutionary algorithms in shared-memory environments, implemented in C++ using semaphores.
🟢 Real-time memory coordination; serves as a useful teaching tool or proof-of-concept for parallel optimisation.

A low-level Verilog implementation for memory interfacing between DDR2 and FPGAs.
🟢 Demonstrates real-world relevance and practical understanding of hardware timing and interfacing.

A concise guide to designing fault-tolerant FPGA systems.
🟢 Summarizes best practices with a focus on practical reliability.

Well-structured C implementations of classic algorithms and crytanalysis.

A Mathematica toolset designed for simulating high-frequency transient behavior in multiconductor transmission lines.
🟢 Domain-specific and practical for EMC/EMI studies in machines and converters.

A symbolic method for extracting fractal dimensions from time series, ideal for chaotic and nonlinear system identification.
🟢 Innovative approach for measuring dynamic signal complexity.

A symbolic approach in Mathematica for reconstructing system dynamics from observable data.
🟢 Mathematically rigorous; applicable in control theory and state reconstruction.

• FPGA Development: Leveraging hardware for high-speed parallel processing.
• Parallel Computing: Designing algorithms that fully utilize distributed systems.
• Numerical Modelling: Creating simulations to solve real-world engineering and scientific problems.
• Subsonic Continuum Electromagnetic Modelling: Wave and force interaction.
• Lightning and Laser Interaction.
• Computational Methods: In nonlinear control, crytanalysis, transient analysis, and power electronics.

Thanks for visiting my profile — Feel free to reach out for collaborations, inquiries, or discussions.

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