Luiz Felipe Aguinsky

Dr. Luiz Felipe Aguinsky is a Lecturer in Computational Nanoelectronics and Deputy Group Leader of the DeepNano Research Group at the University of Glasgow. He holds a PhD (Dr. techn.) from TU Wien, Austria, where he specialized in semiconductor fabrication process modeling. As an Erwin Schrödinger Fellow at ETH Zurich, he developed machine learning-enhanced models for memristors. His research focuses on computational nanoelectronics, combining advanced simulation techniques with cutting-edge materials science.

Education:

• PhD (Dr. techn.) in Microelectronics, TU Wien (Austria), 2019 (with distinction)
• Erwin Schrödinger Fellowship at ETH Zurich's Computational Electronics Group (2021–2023)

Research Interests: His work integrates machine learning with atomistic simulations to address challenges in semiconductor manufacturing. Key areas include:

• High-performance TCAD for nanofabrication processes
• Quantum transport and neuromorphic computing
• Applied computer graphics for nonimaging applications
• Level-set methods for surface evolution modeling

Publications Trends: Recent work emphasizes knudsen diffusion modeling for nanofabrication, atomic layer deposition simulations, and plasma etching optimization. Cross-disciplinary methods like ray tracing and machine learning feature prominently in his latest projects.

Awards & Fellowships:

• EUROSOI-ULIS Best Poster Award (2021)
• Erwin Schrödinger Fellowship (FWF, 2023–2025)

Professional Activities: Active member of IEEE Nanotechnology Council's Modelling & Simulation Technical Committee. Co-author of over 15 peer-reviewed publications since 2019, with contributions to IEEE NANO, SISPAD, and EuroSOI conferences.

Labs/Teams: Leads computational modeling efforts in the DeepNano Research Group, collaborating globally on TCAD innovations for next-generation semiconductor devices.