Ivan Zozulia

Designed and optimized a fully automated measurement system for vibration-based skin parameter analysis (25–500 Hz). Developed MATLAB-based control software for actuator control and data acquisition with robust signal extraction in noisy conditions (down to –35 dB). Increased measurement reproducibility by building mechanical structures, including 3D models and 3D-printed components. Performed iterative engineering improvements to enhance usability and process stability.

Developed an automated magnetic-field measurement method, reducing measurement time by 50%. Developed MATLAB control routines to synchronize the operation of a measurement device and a mobile platform via UART. Expanded existing software functionality for electrical impedance tomography, adding three new measurement methods. Produced clear, user-oriented technical documentation for the created systems.

Developed an automated measurement setup for low-frequency dielectric characterization (up to 600 kHz). Integration of hardware and software solutions for precise capacitance measurement down to 0.1 pF with high accuracy (±10%). Programming of the MATLAB algorithms for evaluating dielectric composites' properties.

Adapted and maintained circuit diagrams and functional schematics for aerospace systems. Created detailed technical instructions for mechanics and production teams. Prepared BOMs and documentation packages for engineering and procurement teams.

Within the master's thesis, a production-friendly quality assessment method based on BLE advertisement-mode properties was developed.

Within the bachelor's thesis, the Bluetooth 5.0 transducer in FEC mode was modeled.