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Assembly Series

A tradition of convening thought leaders since 1953

McKelvey School of Engineering

Brown School

Mindlin Lecture

Thursday, March 2, 2023 | 4:30 PM - 6:00 PM

Preston M. Green Hall, Collaboration Space and Rodin Auditorium

Please join us for the Mindlin Lecture featuring David Tennenhouse presenting "Surprise-Inspired Networking."

  • 4:30 p.m. CT: Reception in the Green Hall Collaboration Space
  • 5 p.m. CT: Lecture in Rodin Auditorium

Our communications infrastructure needs to change dramatically to support exciting new applications such as augmented reality, telepresence, robotics and smart cities. The common driver for these applications is that the most valuable information is new information — the information that surprises us. So, instead of a network tailored to access old information, such as movies and knowledge bases, we will need a surprise-inspired network that prioritizes new information and enables the instantaneous fusion of the new and the old

Register by Feb. 22: https://wustl.advancementform.com/event/mindlin-lecture/register

The Mindlin Foundation supports lecture series at several universities, including Washington University in St. Louis and the University of Washington. The Mindlin Lecture is designed to provide faculty, students, and the greater community the opportunity to engage with leaders in their fields, and broadly disseminate ideas in diverse venues.

Event Type

Lectures & Presentations


McKelvey School of Engineering


Science & Technology

Computer Science & Engineering, Electrical & Systems Engineering
Event Contact


Speaker Information

David Tennenhouse is passionate about research and innovation and has a track record of embracing high-risk initiatives, such as software-defined networking, software radio, IoT and data-intensive computing. He has worked in academia as a faculty member at MIT; in government at DARPA; in industry at Intel, Amazon/A9.com, Microsoft and VMware; and as a partner in a venture capital firm.

Tennenhouse has championed research related to a wide range of technologies, including networking, distributed computing, blockchain, computer architecture, storage, machine learning, robotics and nano/bio-technology. He holds both bachelor's and master's degrees in electrical engineering from the University of Toronto, earned his PhD at the University of Cambridge and is an IEEE Fellow.

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