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Thursday, September 1 @12:10 pm
“Building the Future of Aerospace Together” w/Greg Hyslop, The Boeing Company
WSU Pullman - Spark

Greg Hyslop, Chief Engineer & Executive Vice President of Engineering, Test & Technology, The Boeing Company, will speak on the topic, “Building the Future of Aerospace Together”.
From servicing the next International Space Station to its goal of Zero Carbon Emissions from Commercial Aviation to Flying Taxi Drones, come hear about the opportunities and challenges facing the future of the aerospace industry from the man who leads The Boeing Company’s 50,000+ engineers worldwide and oversees its technology vision, strategy and investment.

Friday, September 9 @12:10 pm
EECS Lunch and Learn with Industry: The World of Field Application Engineering; Sam Lowe, Siemens EDA
Online - Engineering Teaching Research Laboratory

I will share my typical workday as a Field AE from improving the product, to solving technical problems at large companies. Since I work with multiple engineering teams, I will share how these groups work together, and insights into the current state of the industry. I will also introduce the different roles within Siemens EDA and highlight some opportunities for college graduates.

Tuesday, September 27 @11 am
ESIC-AGI FA22 Seminar Series: Avista’s Connected Communities Project – To Enable Dispatchable Load Services to Underrepresented Communities
WSU Pullman - Electrical and Mechanical Engineering Building

Avista recognizes to address the challenges of clean energy transition will require a balance between energy supply and delivery. At Avista, we are working on operational strategies to dispatch flexible load and distributed energy resources to address delivery constraints.

Thursday, September 29 @2 pm
Deep Learning-based Turbo-detection and Equalization for Two- and Three-dimensional Magnetic Recording by Amirhossein Sayyafan
Workshop / Seminar
WSU Pullman - Electrical and Mechanical Engineering Building

This dissertation considers various machine-learning-based signal processing architectures for equalization and detection of two- and three-dimensional magnetic recording signals for hard disk drives (HDDs). Recording in multiple dimensions on magnetic hard drives has been a challenge in the HDD industry. The objective of reading approaches for magnetic recording is to detect the highest density of information possible with an acceptable error rate.