Difference between revisions of "SIAM Student Chapter Seminar"

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__NOTOC__
 
__NOTOC__
  
*'''When:''' 3:30 pm
+
*'''When:''' Fridays at 1 PM unless noted otherwise
*'''Where:''' Zoom
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*'''Where:''' 9th floor lounge (we will also broadcast the virtual talks on the 9th floor lounge with refreshments)
*'''Organizers:''' [http://www.math.wisc.edu/~xshen/ Xiao Shen]
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*'''Organizers:''' [https://sites.google.com/wisc.edu/evan-sorensen Evan Sorensen], Jordan Radke, Peiyi Chen, and Yahui Qu
 
*'''Faculty advisers:''' [http://www.math.wisc.edu/~jeanluc/ Jean-Luc Thiffeault], [http://pages.cs.wisc.edu/~swright/ Steve Wright]  
 
*'''Faculty advisers:''' [http://www.math.wisc.edu/~jeanluc/ Jean-Luc Thiffeault], [http://pages.cs.wisc.edu/~swright/ Steve Wright]  
 
*'''To join the SIAM Chapter mailing list:''' email [mailto:siam-chapter+join@g-groups.wisc.edu siam-chapter+join@g-groups.wisc.edu].
 
*'''To join the SIAM Chapter mailing list:''' email [mailto:siam-chapter+join@g-groups.wisc.edu siam-chapter+join@g-groups.wisc.edu].
 +
*'''Zoom link:''' https://uwmadison.zoom.us/j/99844791267?pwd=eUFwM25Hc2Roc1kvSzR3N2tVVlpLQT09
 +
*'''Passcode: 641156'''
  
 
<br>
 
<br>
 
+
==Fall 2022==
== Fall 2020  ==
+
{| class="wikitable"
 
+
!Date (1 PM unless otherwise noted)
{| cellpadding="8"
+
!Location
!align="left" | date
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!Speaker
!align="left" | speaker
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!Title
!align="left" | title
+
|-
 +
|9/23
 +
|[https://uwmadison.zoom.us/j/99844791267?pwd=eUFwM25Hc2Roc1kvSzR3N2tVVlpLQT09 Virtual] and 911 Van Vleck                         
 +
|[http://www-personal.umich.edu/~tganders/ Thomas Anderson] (University of Michigan)                         
 +
|A few words on potential theory in modern applied math
 
|-
 
|-
|9/29
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|9/30 ('''11 AM''')
|Yu Feng (Math)
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|[https://uwmadison.zoom.us/j/99844791267?pwd=eUFwM25Hc2Roc1kvSzR3N2tVVlpLQT09 Virtual] and 911 Van Vleck
|''[[#9/29, Yu Feng (Math)|Phase separation in the advective Cahn--Hilliard equation]]''
+
|[https://jeffhammond.github.io/ Jeff Hammond] (Principal Engineer at [https://www.nvidia.com/en-us/ NVIDIA])
 +
|Industry talk
 
|-
 
|-
 +
|10/7
 +
|[https://uwmadison.zoom.us/j/99844791267?pwd=eUFwM25Hc2Roc1kvSzR3N2tVVlpLQT09 Virtual] and 911 Van Vleck
 +
|[https://walterbabyrudin.github.io/ Jie Wang] (Georgia Institute of Technology)
 +
|Sinkhorn Distributionally Robust Optimization
 
|-
 
|-
 
|10/14
 
|10/14
|Dongyu Chen (WPI)
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|[https://uwmadison.zoom.us/j/99844791267?pwd=eUFwM25Hc2Roc1kvSzR3N2tVVlpLQT09 Virtual] and 911 Van Vleck
|''[[#10/14, Yuchen Dong (WPI)|A Half-order Numerical Scheme for Nonlinear SDEs with one-sided Lipschitz Drift and H\:{o}lder Continuous Diffusion Coefficients]]''
+
|[https://you.stonybrook.edu/reutergroup/ Matt Reuter] (Stony Brook University)
 +
|
 
|-
 
|-
 +
|10/19 ('''Wednesday at 4 PM)'''
 +
|[https://uwmadison.zoom.us/j/99844791267?pwd=eUFwM25Hc2Roc1kvSzR3N2tVVlpLQT09 Virtual] and 911 Van Vleck
 +
|Ying Li
 +
|
 
|-
 
|-
 
|10/28
 
|10/28
|Evan Sorensen (math)
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|911 Van Vleck
|''[[#10/28, Evan Sorenson (math)|Unsupervised data classification via Bayesian inference]]''
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|Yinling Zhang (UW-Madison)
 +
|
 
|-
 
|-
 +
|11/4
 +
|911 Van Vleck
 +
|Haley Colgate (UW-Madison)
 +
|
 
|-
 
|-
 +
|11/11
 +
|911 Van Vleck
 +
|[https://sites.google.com/wisc.edu/zinanwang/ Zinan Wang] (UW-Madison)
 +
|
 
|-
 
|-
 +
|11/18
 +
|911 Van Vleck
 +
|Parvathi Kooloth (UW-Madison)
 +
|
 
|-
 
|-
|11/23
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|11/25
|Weijie Pang (McMaster University)
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|NO TALK
|''[[#11/23, Weijie Pang (McMaster University)|Pandemic Model with Asymptomatic Viral Carriers and Health Policy]]''
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|THANKSGIVING WEEK
|-
+
|
 
|-
 
|-
 +
|12/2
 +
|[https://uwmadison.zoom.us/j/99844791267?pwd=eUFwM25Hc2Roc1kvSzR3N2tVVlpLQT09 Virtual] and 911 Van Vleck
 +
|Jenny Yeon (Applied Scientist at Amazon)
 
|
 
|
 
|}
 
|}
  
== Abstracts ==
 
 
=== 9/29, Yu Feng (Math) ===
 
'''Phase separation in the advective Cahn--Hilliard equation'''
 
 
The Cahn--Hilliard equation is a classic model of phase separation in binary mixtures that exhibits spontaneous coarsening of the phases. We study the Cahn--Hilliard equation with an imposed advection term in order to model the stirring and eventual mixing of the phases. The main result is that if the imposed advection is sufficiently mixing then no phase separation occurs, and the solution instead converges exponentially to a homogeneous mixed state. The mixing effectiveness of the imposed drift is quantified in terms of the dissipation time of the associated advection-hyperdiffusion equation, and we produce examples of velocity fields with a small dissipation time. We also study the relationship between this quantity and the dissipation time of the standard advection-diffusion equation.
 
 
 
=== 10/14, Yuchen Dong (WPI) ===
 
'''A Half-order Numerical Scheme for Nonlinear SDEs with one-sided Lipschitz Drift and Hölder Continuous Diffusion Coefficients'''
 
 
We consider positivity-preserving explicit schemes for one-dimensional nonlinear stochastic differential
 
equations. The drift coefficients satisfy the one-sided Lipschitz condition, and the diffusion coefficients
 
are Hölder continuous. To control the fast growth of moments of solutions, we introduce several explicit
 
schemes including the tamed and truncated Euler schemes. The fundamental idea is to guarantee the
 
non-negativity of solutions. The proofs rely on the boundedness for negative moments and exponential of
 
negative moments. We present several numerical schemes for a modified Cox-Ingersoll-Ross model and a
 
two-factor Heston model and demonstrate their half-order convergence rate.
 
 
 
=== 10/28, Evan Sorensen (math) ===
 
''' Unsupervised data classification via Bayesian inference'''
 
 
Bayesian inference is a way of “updating” our current state of knowledge given some data. In this talk, I will discuss how one can use Bayesian inference to classify data into separate groups. Particularly, I will discuss an application of this to outlier detection in contamination control within semiconductor manufacturing. Time permitting, I will talk about some computational tools for these models.
 
 
 
 
=== 11/23, Weijie Pang (McMaster University) ===
 
  
'''Pandemic Model with Asymptomatic Viral Carriers and Health Policy '''
 
  
By October 13, 2020, the total number of COVID-19 confirmed cases had been 37,880,040 with 1,081,857 death in the world. The speed, range and influence of this virus exceed any pandemic in history. To find reasons of this incredible fast spread, we introduce asymptomatic category into a SEIR pandemic model. Based on published data of Italy, we calibrated exposed rates of COVID-19 in this model and then simulated the spread of COVID-19 for different asymptomatic rates. To measure the effects of different types of public health policies on this pandemic, we construct a pandemic model including health policies. By the simulation of this model, we provide feasible suggestions of containment to regulators.
 
  
 +
==Abstracts==
  
 +
'''9/23 Thomas Anderson:''' I'll talk a bit about potential theory as it is used today in the solution, via boundary integral equations / the boundary element method, of linear PDEs. These aren't only a numerical approach: I'll say a few words too about how they can be used to do analysis on problems. Then I may say a few things about volumetric potential theory: what are the problems there I've been thinking about, and application studies in mixing, for example, that they enable. Finally, I'll be happy to talk a bit about my experience so far in academia.
  
<br>
+
'''9/30 Jeff Hammond:''' Jeff Hammond is a principal engineer with NVIDIA based in Helsinki, Finland, where his focus is developing better ways to write software for numerical algorithms. From 2014 to 2021, Jeff worked for Intel in Portland, Oregon; he started in the research organization and moved to the data center business group. Prior to that he worked for Argonne National Laboratory, first as a postdoc and then as a scientist in the supercomputing facility. Jeff was a graduate student at the University of Chicago and focused on developing open-source chemistry simulation software with Karol Kowalski at Pacific Northwest National Laboratory.  He majored in chemistry and mathematics at the University of Washington.  Details can be found on Jeff's home page: <nowiki>https://jeffhammond.github.io/</nowiki>.
 
+
==Past Semesters==
== Past Semesters ==
+
*[[Spring 2022 SIAM|Spring 2022]]
*[[SIAM_Student_Chapter_Seminar/Fall2020]]
+
*[[SIAM Student Chapter Seminar/Fall2021|Fall 2021]]
 +
*[[SIAM_Student_Chapter_Seminar/Fall2020|Fall 2020]]
 
*[[SIAM_Student_Chapter_Seminar/Spring2020|Spring 2020]]
 
*[[SIAM_Student_Chapter_Seminar/Spring2020|Spring 2020]]
 
*[[SIAM_Student_Chapter_Seminar/Fall2019|Fall 2019]]
 
*[[SIAM_Student_Chapter_Seminar/Fall2019|Fall 2019]]
 
*[[SIAM_Student_Chapter_Seminar/Fall2018|Fall 2018]]
 
*[[SIAM_Student_Chapter_Seminar/Fall2018|Fall 2018]]
 
*[[SIAM_Student_Chapter_Seminar/Spring2017|Spring 2017]]
 
*[[SIAM_Student_Chapter_Seminar/Spring2017|Spring 2017]]

Latest revision as of 10:42, 20 September 2022



Fall 2022

Date (1 PM unless otherwise noted) Location Speaker Title
9/23 Virtual and 911 Van Vleck Thomas Anderson (University of Michigan) A few words on potential theory in modern applied math
9/30 (11 AM) Virtual and 911 Van Vleck Jeff Hammond (Principal Engineer at NVIDIA) Industry talk
10/7 Virtual and 911 Van Vleck Jie Wang (Georgia Institute of Technology) Sinkhorn Distributionally Robust Optimization
10/14 Virtual and 911 Van Vleck Matt Reuter (Stony Brook University)
10/19 (Wednesday at 4 PM) Virtual and 911 Van Vleck Ying Li
10/28 911 Van Vleck Yinling Zhang (UW-Madison)
11/4 911 Van Vleck Haley Colgate (UW-Madison)
11/11 911 Van Vleck Zinan Wang (UW-Madison)
11/18 911 Van Vleck Parvathi Kooloth (UW-Madison)
11/25 NO TALK THANKSGIVING WEEK
12/2 Virtual and 911 Van Vleck Jenny Yeon (Applied Scientist at Amazon)



Abstracts

9/23 Thomas Anderson: I'll talk a bit about potential theory as it is used today in the solution, via boundary integral equations / the boundary element method, of linear PDEs. These aren't only a numerical approach: I'll say a few words too about how they can be used to do analysis on problems. Then I may say a few things about volumetric potential theory: what are the problems there I've been thinking about, and application studies in mixing, for example, that they enable. Finally, I'll be happy to talk a bit about my experience so far in academia.

9/30 Jeff Hammond: Jeff Hammond is a principal engineer with NVIDIA based in Helsinki, Finland, where his focus is developing better ways to write software for numerical algorithms. From 2014 to 2021, Jeff worked for Intel in Portland, Oregon; he started in the research organization and moved to the data center business group. Prior to that he worked for Argonne National Laboratory, first as a postdoc and then as a scientist in the supercomputing facility. Jeff was a graduate student at the University of Chicago and focused on developing open-source chemistry simulation software with Karol Kowalski at Pacific Northwest National Laboratory.  He majored in chemistry and mathematics at the University of Washington.  Details can be found on Jeff's home page: https://jeffhammond.github.io/.

Past Semesters