Seminar Date: Tuesday, Apiril 22, 2025
Time: 11:00 AM PT
Location: 67-3111 & Zoom
Talk Title: Harnessing the power of HPC and AI for low-power microelectronics device innovation
Zoom link
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Bio:
Zhi Jackie Yao is a Research Scientist in the Computing Sciences Area at the Lawrence Berkeley National Laboratory. She have a combined background in computational science and domain sciences of physical waves and electronics. Her current primary research interest is in high-fidelity computational algorithms for microelectronics applications. She work closely with material scientists, device designers, circuit architects and machine learning experts, to codesign workflow that benefits the development of future electronics.
She received her Ph.D. degree in December of 2017 from Electrical and Computer Engineering (ECE) Department at University of California, Los Angeles (UCLA), and continued pursuing research in the same department as a postdoc until September of 2019. During her graduate study, her research was centered on using new physical coupling in novel electronic devices, specifically the design and characterization of miniaturized multiferroic components in RF systems. She has proposed, modeled, and characterized strain-mediated multiferroic antennas, as well as contributed to building ferromagnetic resonance-enhanced electrically small antennas, Lamb wave resonators with parametric amplification, and magnetic field receivers based on resonant precession modulation.
