School of Electrical Engineering and Computer Science

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.

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.

What does production-quality time-series (including synchrophasors) software for power system operations and data analytics do and look like?

To further improve the DS’s reliable and resilient operation, in this Ph.D. work, the aim has been put towards development of an automated tool consisting of multiple modules to precisely investigate any type of data anomalies, followed by root cause finding.

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.

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.