Publications
Peer-reviewed work from research at the Universidad de Granada and UC San Diego. Topics span evolutionary antenna optimization and GPU-accelerated micromagnetic simulation.
Exploration of Multi-Objective Particle Swarm Optimization on the Design of UWB Antennas
3rd European Conference on Antennas and Propagation (EuCAP), Berlin, Germany — pp. 561–565
Abstract
Ultra-wideband (UWB) antennas must operate across an exceptionally wide frequency range while remaining compact and conforming to strict spectral regulations — including a mandatory notch to avoid interference with existing 5 GHz Wi-Fi systems. Manually designing such antennas is difficult because improving one electromagnetic property typically degrades another.
This paper applies Multi-Objective Particle Swarm Optimization (MOPSO), a nature-inspired heuristic algorithm, to automate the antenna geometry design process. The optimizer is coupled to a full-wave FDTD (Finite-Difference Time-Domain) electromagnetic simulator, and simultaneously balances competing objectives: broadband impedance matching across the full UWB spectrum, band-notch depth in the 5–6 GHz range, and radiation performance. The result is a principled, automated framework for designing UWB planar antennas that meet real-world spectral requirements without manual iteration.
This work was conducted at the Departamento de Electromagnetismo y Materiá de la Condensada, Universidad de Granada, under a Spanish Ministry of Science research grant (TEC2007-66698-C04-02/TCM).
Effect of Thermal Fluctuations on the Performance of Particulate Media
IEEE Transactions on Magnetics, Vol. 49, pp. 3137–3140
Abstract
High-density magnetic recording — as used in data center tape storage — depends on microscopic magnetic particles that must reliably hold their written state at and above room temperature. Thermal energy introduces random perturbations that can broaden written transitions, widen the switching field distribution, and degrade signal-to-noise ratio.
This paper uses GPU-accelerated micromagnetic simulations to quantify how thermal fluctuations affect the write performance of barium ferrite (BaFe) particulate recording media, a leading candidate for next-generation high-capacity tape. Simulations across a temperature range up to 400 K reveal that elevated temperatures reduce the field required to write optimally to the medium, but cause measurable broadband SNR losses of several decibels relative to 0 K performance.
The work provides design guidelines for thermally resilient particulate recording media and was conducted in collaboration with Prof. Vitaly Lomakin’s Computational Magnetics group at UC San Diego and IBM Research.