EE Student Information

Events

SystemX Seminar: Robots that Work Together, Robots that Play Together  
Seminar

Mac Schwager (Stanford)

For robots to effectively operate in our world, they must master the skills of dynamic interaction.

Robots that Work Together, Robots that Play Together
Thu Oct 28th, 2021
 (
5:30 pm PDT
)
Huang 18
biostats seminar

Workshop in Biostatistics welcomes Prof. Serena Yeung  
Seminar

Prof. Serena Yeung (Stanford)

TBA

TBA
Thu Oct 28th, 2021
 (
1:30 pm PDT
)

Lab64: Halloween PCB Assembly Party  
Student

Halloween Soldering / PCB Assembly Workshop

Halloween PCB Assembly Party
Wed Oct 27th, 2021
 (
6:00 pm PDT
)
Packard 064 (Lab64)

SCIEN presents "Design Tools for Material Appearance"  
Seminar

Prof Holly Rushmeier (Yale)

The design of material appearance for both virtual and physical design remains a challenging problem.

Design Tools for Material Appearance
Wed Oct 27th, 2021
 (
4:30 pm PDT
)

Statistics Seminar welcomes Adityanand Guntuboyina  
Seminar

Adityanand Guntuboyina (UC Berkeley)

TBA

TBA
Tue Oct 26th, 2021
 (
4:30 pm PDT
)

SystemX BONUS Seminar: New consumer use cases are shaping the display architectures of tomorrow’s mixed reality headsets and smart glasses  
Seminar

Bernard Kress (Microsoft)

For the past decade, display and sensor hardware developments for mixed reality and smart glasses were merely a shot in the dark, providing enough display immersion and visual comfort for developers to build up apps,

New consumer use cases are shaping the display architectures of tomorrow’s mixed reality headsets and smart glasses
Tue Oct 26th, 2021
 (
2:30 pm PDT
)
Packard 202

Applied Physics 483 Optics & Electronics Seminar: How light behaves when the refractive index vanishes  
Seminar

Professor Robert Boyd (University of Ottawa)

TBA

How light behaves when the refractive index vanishes
Mon Oct 25th, 2021
 (
4:15 pm PDT
)

Probability Seminar: Probabilistic Littlewood–Offord anti-concentration results via model theory  
Seminar

Hunter Spink (Stanford)

The classical Erdos–Littlewood–Offord theorem says that for any n nonzero vectors in R^d, a random signed sum concentrates on any point with probability at most O(n^{1/2}).

Probabilistic Littlewood–Offord anti-concentration results via model theory
Mon Oct 25th, 2021
 (
4:00 pm PDT
)
Sequoia 200

Clean Energy Education & Empowerment (C3E)  
Seminar

Moderated Panel

Electric utilities across the U.S. are one of the most important players in the nation's efforts to transition to carbon-free electricity and net-zero greenhouse gas emissions.

Utility Leadership in Accelerating the Carbon-Free Energy Transition
Mon Oct 25th, 2021
 (
10:00 am PDT
)
webinar

The Decade of Digital Inclusion An Event Series in Connecting the Next Billion  
General

Join leaders from around the globe for a field-defining conversation about the challenges and opportunities of connecting the next billion.

The Decade of Digital Inclusion An Event Series in Connecting the Next Billion
Fri Oct 22nd, 2021
 (
8:00 am PDT
)

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