ENRIQUE COMESAÑA FIGUEROA

Enrique Comesaña Figueroa is a Professor at the University of Santiago de Compostela (USC), affiliated with the Department of Electronics and Computing within the Higher Polytechnic School of Engineering. He holds a PhD in Electronics from USC (2013), focusing on tools for simulating magnetic semiconductor devices. His research expertise spans spintronics, semiconductor device simulation, nanoelectronics, and variability in advanced transistor architectures like FinFETs and GAA MOSFETs. Key projects include developing ML-driven tools (e.g., MLFoMpy) for TCAD data analysis and exploring materials like GaN and SiC for high-efficiency photovoltaic systems. He collaborates extensively on optimizing semiconductor devices for space applications and energy conversion. His work emphasizes machine learning integration with solid-state physics for predictive modeling of device performance under statistical variability. Notable contributions include studies on metal grain granularity impacts and thermal management in nanoscale devices.

• Education: PhD in Electronics (2013), University of Santiago de Compostela
• Research Groups: ARQCOMP (Computer Architecture)

Research Interests: Spin-polarized transport in magnetic devices, nanoelectronics variability, semiconductor materials (GaN/SiC), TCAD simulation tools, and machine learning applications in device optimization. His work bridges theoretical modeling with practical device design, particularly for space and energy systems.

Recent Work Trends: Focus on high-efficiency laser power converters using SiC and GaN, statistical variability in advanced transistors (FinFET/NWFET), and AI-driven simulation tools for predictive device analysis. Ongoing projects include optimizing solar cell performance through textured interfaces and photonic designs.

Grants & Labs: Involved in projects like RePowerSiC and MLFoMpy development, but specific grant details are not provided. Collaborates with industry on semiconductor toolchain innovations.