Adrian Salt

Adrian has a strong background and current interest in anything (directly or indirectly) related to Radio-Frequency Engineering and associated applications. In 2023 Adrian wrote a 475-page research paper titled 𝑨 𝑪𝒂𝒍𝒄𝒖𝒍𝒖𝒔 𝑩𝒂𝒔𝒆𝒅 𝑨𝒑𝒑𝒓𝒐𝒂𝒄𝒉 𝑻𝒐 𝑳𝒊𝒏𝒆𝒂𝒓 𝑨𝒏𝒅 𝑻𝒊𝒎𝒆 𝑰𝒏𝒗𝒂𝒓𝒊𝒂𝒏𝒕 𝑺𝒐𝒍𝒖𝒕𝒊𝒐𝒏𝒔 𝑰𝒏 𝑪𝒐𝒎𝒑𝒍𝒆𝒙 𝑪𝒐𝒏𝒋𝒖𝒈𝒂𝒕𝒆 𝑰𝒎𝒑𝒆𝒅𝒂𝒏𝒄𝒆 𝑴𝒂𝒕𝒄𝒉𝒊𝒏𝒈 𝑵𝒆𝒕𝒘𝒐𝒓𝒌𝒔 𝑾𝒊𝒕𝒉 𝑨𝒑𝒑𝒍𝒊𝒄𝒂𝒕𝒊𝒐𝒏 𝑻𝒐 𝑩𝒓𝒐𝒂𝒅𝒃𝒂𝒏𝒅 𝑯𝒊𝒈𝒉 𝑭𝒓𝒆𝒒𝒖𝒆𝒏𝒄𝒚 𝑳𝒐𝒐𝒑𝒔 which earned him the Cullen Prize for the most outstanding final year project covered by the Sensors, Systems and Circuits Group at UCL. Adrian’s expertise extends to areas including RF circuits, matching networks, transmission lines, standing waves, reflection and transmission coefficients, scattering matrices, method-of-moments (MoM) simulation techniques, multi-path smith-trajectory vectors, sensitivity of reactive mismatches on changes to the magnitude of the voltage reflection coefficient, sensitivity of the voltage reflection coefficient to reactive and resistive mismatches in highly capacitive transmission lines, electromagnetic wave-equation superposition theory, standing waves and reflection as a continuum, voltage superposition galloping along a transmission line for intermediate pole values of Γ for open-circuit load states and N-port vector-network-analysis. Extensive use and understanding of VNA devices, designing, constructing and testing EM resonance systems including six-element log-periodic fan-verticals, half-wave dipoles, end-fed half wave radiators with J-integrated matching, three-element beams and Type-1 Chebyshev seven element low pass filters.

After completing all three UK amateur radio examinations, Adrian spent considerable time in radio-frequency research and in 2019, conducted a propagation analysis project in conjunction with the Czech Republic Government that led to published work on radio ionospheric refraction theory. After this, he read Electronic & Electrical Engineering at University College London, where in addition to passing with first class honours, received the Cullen Prize for the most outstanding final year project in the areas of research covered by the of Sensors, Systems and Circuits Group. Additionally, Adrian has produced many other projects that showcase his mathematical and scientific acumen including but not limited to a thirty-three-part lecture series on the foundations of the mathematics of control theory explaining detailed theoretical principles of convolution for solving complex inverse Laplace transforms, and a fully designed nuclear reactor based on the RBMK-1000 design, fully implemented and demonstrated in Python. Adrian also holds certifications in four MathWorks packages including Control Design with Simulink, MATLAB, Simscape and Simulink (standalone).