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Amazon Alumni Mixer

Amazon Alumni Mixer

Tuesday, April 5, 6:30-8:30pm
Amazon Campus
Van Vorst Building
426 Terry Ave. North
Seattle, WA 98109
*please use south entrance near Amazon reception
View the location on a map.  

From I-5 Northbound and Southbound:

Check-In & Parking
Visitors require a guest badge, which will be issued with valid photo ID upon entrance and check-in at reception, located at the south entrance. Several options for street parking and surface lots are nearby.

   Babak Parviz

Event Details
Please join us to learn more about the exciting work underway at Amazon’s Seattle campus. The event is hosted by Affiliate Professor Babak Parviz, who joined Amazon as a Vice President in 2014. In addition to a look at Amazon, attendees will have an opportunity to network with EE alums and meet faculty and department chair Radha Poovendran. Appetizers and wine/beer will be served.

Well-known for his technology breakthrough work, Babak was a professor at the University of Washington before joining Google, where he created Google Glass and co-founded the Smart Contact Lens program and the robotic surgery program. Babak's areas of interest span high-tech with social impact, novel communication and computing paradigms, biotechnology, nano and micro technology, photonics and engineering at scale.

RSVP Required
This event is now at capacity! Please join us for the next alumni event, the Discovery Days Alumni breakfast, on Saturday, April 23. Learn more.

UW EE Faculty Attendees

Radha Poovendran
Professor and Chair

Research Interests: Security, cyber-physical systems, machine learning and bio systems.

Payman Arabshahi
Associate Professor and Director of Advancement

Research Interests: Wireless communications and networking, sensor networks, signal processing, data mining and search, and biologically inspired systems.

Maryam Fazel
Associate Professor

Research Interests: Convex optimization, algorithms, machine learning and control.

Richard Shi

Research Interests: Computer-aided design and test of VLSI circuits and systems with an emphasis on analog and deep-submicron circuit modeling, simulation and optimization.

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