EE Student Information

The Department of Electrical Engineering supports Black Lives Matter. Read more.

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EE Student Information, Spring Quarter through Academic Year 2020-2021: FAQs and Updated EE Course List.

Updates will be posted on this page, as well as emailed to the EE student mail list.

Please see Stanford University Health Alerts for course and travel updates.

As always, use your best judgement and consider your own and others' well-being at all times.

Graduate

SPECIAL EVENT Probability Seminar presents "Universality of approximate message passing algorithms"

Topic: 
Universality of approximate message passing algorithms
Abstract / Description: 

Approximate Message Passing (AMP) algorithms are non-linear power iterations originally arising from the context of compressed sensing. In this talk, I will introduce a Lipschitzian functional iteration, as a generalization of the AMP algorithms, and discuss its universality in disorder. In addition, I will explain how our results imply universality in a number of AMPs popularly adapted in Bayesian inferences and optimizations in spin glasses.

This is based on a joint work with Wai-Kit Lam.


Joint with Applied Mathematics Seminar

 

Date and Time: 
Wednesday, June 24, 2020 - 12:00pm
Venue: 
Zoom

EE Community Town Hall

Topic: 
Community Support and Q and A
Abstract / Description: 

DEAR EE COMMUNITY:

 

There aren't enough words to fully express the sadness we feel due to the social injustice that our communities of color have been facing in these recent tragic events and the social injustices that have been continuous in our everyday lives. We understand that many of you are deeply affected both directly and indirectly and we know that everyone is processing and coping with the situation in their own way.

We want all of you to know that we support you, especially our students of color. We understand that you are hurting and we acknowledge your pain. Now more than ever, we need to support each other and uplift one another. With that said, we would like to hold another EE Town Hall Meeting on Thursday, June 11th, 2020 from 2:00pm-3:00pm (Pacific Daylight Time).

At this town hall, we want to connect with everyone, see how everyone's feeling, welcome any comments, and answer any questions you have regarding what's going on in our community and/or the future of our department in the autumn quarter.

Please RSVP by 9am on Wednesday, June 10: https://forms.gle/2BctKVXgGDDmzkfw6
*You can list up to 3 questions on the RSVP form. You can also ask questions during the meeting using the chat function in Zoom.

The panelists include:

  • EE Department Chair: Prof. Stephen Boyd
  • EE Associate Chair of Graduate Education: Prof. Brad Osgood
  • EE Associate Chair of Undergraduate Education: Prof. John Pauly
  • Director of Finance and Operations: Mary K. McMahon (moderator)
  • Director of Student and Academic Services: Meo Kittiwanich

The Zoom info and password is available in sent email invitation.

 

We hope you can make it. Please stay safe, take care, and check-in with one another.

 

Sincerely,
Electrical Engineering Student Services

Date and Time: 
Thursday, June 11, 2020 - 2:00pm
Venue: 
Zoom ID: 966 9751 4901

Q-FARM presents "Many-body invariants from statistical correlations of randomized measurements"

Topic: 
Many-body invariants from statistical correlations of randomized measurements
Abstract / Description: 

With the advances of quantum simulators in implementing various quantum many-body states, it is important to find efficient ways to characterize and measure many-body states, without resorting to full quantum state tomography. Specifically, in contrast to electronic materials, where the measurements are mainly within the linear-response paradigm, quantum simulators offer unique access to the full wave function that inspires novel probing approaches. In this talk, I discuss how various quantities, such as entanglement spectrum, symmetry-protected topological invariants, and fractional many-body Chern number could be extracted. In the latter case, we show how such an invariant can be measured, using a single wave function, without the knowledge of the Hamiltonian. This should be contrasted to the conventional way, where on requires a family of many-body wave functions parameterized by twist angles in order to calculate the Berry curvature.

Science Advance 6, 3666 (2020)
arxiv 2005.13543
arxiv 2005.13677

Date and Time: 
Wednesday, June 17, 2020 - 12:00pm
Venue: 
Zoom ID: 987 676 025

EE380 Computer Systems Colloquium presents "Coming Attractions: Death or Utopia in the Next Three Decades"

Topic: 
Coming Attractions: Death or Utopia in the Next Three Decades
Abstract / Description: 

Today the data suggests that we are near the beginning of a chaotic mess of global proportions. Things are fairly simple: a global pandemic with no tools to fight the virus. a global economy in disarray, climate change and other existential risks beginning to intrude into our daily lives, and a total lack of a plan as to what to do. On the other hand, we are at the pinnacle of human capabilities and have, if we choose to do so, the capability create a Utopian egalitarian world without conflict or want.

In this two hour program a group of experts will explore the future, focusing on 2030 and 2050. Where are we now? What is trending? What if anything can be done about it?


Sponsors: The invitational Asilomar Microcomputer Workshop is one of the iconic gatherings which supported the growth of computing. This is the first mini-conference which replaces the 46th Asilomar Microcomputer Workshop which was canceled due to the COVID-19 pandemic. www.amw.org.

Date and Time: 
Thursday, June 4, 2020 - 11:00am
Venue: 
REGISTER to receive access

Student / Faculty Roundtable Discussion

Topic: 
Lunch and AMA conversation
Abstract / Description: 

These informal & informational lunches consist of several students and faculty. There is no set agenda during the discussion and it is completely informal. Students are encouraged to share their experience within the department, research, their plans, and feedback. 

Registration is required.

Sign up as soon as you can because the roundtable discussion session is very popular and fills up quickly! Space is limited; you will receive a confirmation email if you are confirmed to attend. Please contact Tiffany, Student Life Coordinator if you have any questions, tdtran@stanford.edu. Thank you!

The student/faculty roundtable discussions are organized by the Student Life Committee.

Date and Time: 
Thursday, June 4, 2020 - 12:00pm
Venue: 
REGISTRATION REQUIRED

Statistics Department Seminar presents "A Bayesian approach to contamination removal in molecular microbial studies"

Topic: 
A Bayesian approach to contamination removal in molecular microbial studies
Abstract / Description: 

High-throughput sequencing (HTS) allows the quantification of non-culturable microbial organisms in human health and disease states, including infectious diseases. However, contaminating nucleic acids (DNA) from external sources may lead to misidentification of a taxon's provenance. Sequencing controls can help to identify most of these contaminants through the use of statistical mixture models. We propose a Bayesian reference analysis based on a hierarchical model for the observed data, that infers the true intensities of a specimen's microbial DNA in the presence of microbial DNA contamination. By using the partial information about contamination intensities available in negative controls, we define a marginal likelihood and reference prior for the true intensities. Then, we obtain a marginal posterior distribution for the true intensities.

In this talk, I will present the performance of the contamination removal method in the dilution series of the standard ZymoBIOMICS microbial community. I will also demonstrate our approach on two different low-biomass plasma specimens datasets. Our method is available as an open-source R package on Github. In addition, to identify contaminant sources, we provide a topic modeling approach to infer contaminant topics.

Date and Time: 
Tuesday, June 2, 2020 - 4:30pm
Venue: 
Zoom ID 935 0733 5349 (locks at 4:40pm PST)

Probability Seminar presents "Shuffling ancestries"

Topic: 
Shuffling ancestries
Abstract / Description: 

Ranked tree shapes and ranked genealogies are binary tree structures commonly used in biological areas. These trees are used to model the ancestral history of a sample, typically a sample of DNA or RNA sequences. We will discuss two representations of ranked tree shapes as constrained matrices of integers and ordered matchings. We exploit these representations to define an ergodic Markov chain on the space of ranked tree shapes with uniform stationary distribution. We will study its mixing time and compare to other related work.

This is based on joint work with Mackenzie Simper.

Date and Time: 
Monday, June 15, 2020 - 4:00pm
Venue: 
Zoom

Probability Seminar welcomes Yuriy Nemish

Topic: 
TBA
Abstract / Description: 

We consider general self-adjoint rational functions in several independent random matrices whose entries are centered and have constant variance. Under some numerically checkable conditions, we establish for these models the optimal local law, i.e., we show that the empirical spectral distribution on scales just above the eigenvalue spacing follows the global density of states which is determined by free probability theory. Moreover, in the framework of the developed theory, we study the density of transmission eigenvalues in the random matrix model for transport in quantum dots coupled to a chaotic environment.

This is a joint work with Laszlo Erdös and Torben Krüger.

Date and Time: 
Monday, June 8, 2020 - 4:00pm
Venue: 
Zoom

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