Monday, April 22, 2024 10:40am to 12pm
About this Event
Presenter: Jing Han
Description: As engineers, our job is to design solutions that work as predicted. Simulation models and tools have become an increasingly sophisticated and an integral part of modern engineering design flows - exponentially enabling high volume production while reducing the number of prototyping cycles, costs, and risk.
But what if our assumptions are incomplete? The ability of simulation to predict performance is limited by many non-idealities: model accuracy, tolerance variation, and computationally infeasible situations, to name a few. In this non-traditional interactive seminar, we will go through a few stages one might encounter in a "typical" design process, leveraging examples from analog integrated circuits and system-level RF design processes to illustrate how to formulate questions and develop confidence in design when perfect models are unavailable.
Bio: Jing Han is currently an electrical engineer working on RF and antennas at Rivian, an electric vehicle company. She previously spent a dozen years in analog circuit design at Intel, and received her Bachelor's in Electrical Engineering from MIT. She is passionate about environmental sustainability, which she firmly believes is rooted in personal sustainability - working with, not against, ourselves. In her spare time, she loves to explore the human condition through a wide variety of interests such as neuroscience, screenwriting, and acting.
Hosted by: Professor Colleen Josephson
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