Past and Current projects

Development of a real-time maritime data visualization tool as a proof-of-concept demonstrator.

• Challenge: Maritime operators require a solution that maintains sustained focus while interpreting complex oceanographic data, ensuring situational awareness without cognitive overload.
• Solution: Integrated gamification principles to enhance user engagement and prolong attention spans. Prioritized user-centric design with modular layouts, interactive dashboards, and customizable visual themes. Built using the Godot engine for frontend interactivity, paired with custom-tailored backend systems for real-time data processing.
• Result: A scalable demonstrator platform primed for adaptation into specialized maritime products (e.g., vessel monitoring, environmental tracking, or port management systems).

Developed a electrical small high-frequency (HF) antenna prototype optimized for noise-limited environments per ITU's radio noise (P.372), which defines global radio noise estimates.

• Challenge: Balancing efficiency with eletrical length and noise in the front-end
• Solution: Theoretical Simulation and mathematical parametric optimization for different prototypes
• Result: Verifying parameters in the LAB (field-probes, Helmholtz-Coil, VNA)

Architected a software-defined radio (SDR) frontend for real-time HF signal processing.

• Key Components:
  • Xilinx Zynq 7000 MPSoC for DSP + ARM processing.
  • Custom HDL (VHDL) for IQ demodulation, custom filter and decimation
  • Using Vivado SDK
• Robustness: Achieved predefined latencies and optimzed CIC,FIR-Filter
• Outcome : Deployed in field tests for dynamic spectrum monitoring (3–30 MHz).

Fused asynchronous data into a unified track estimate for a maritime surveillance system.

• Innovation: Time-stamped sensor fusion with Bayesian filters for irregular sampling intervals (seconds-minutes).
• Technical Challenge: Mitigated tracks with different precisions and intervals on a functional programming language \(\lambda\).

Advised on signal processing algorithms for a passive radar system leveraging signals of opportunities.

• Scope: Modified existing source code to improve clutter detection (STAP-like) in a multistatic environment
• Role: Technical consulting, algorithm development, support for scientific end-users (MATLAB/Python)