Applied Topology

The 3rd workshop on Computational Persistence will take place from Sep 25 to Sep 29 in hybrid mode at Purdue University, West Lafayette, Indiana. This workshop provides a forum to exchange ideas on computational aspects of topological persistence that fertilize advances in topological data analysis.

The schedule will be composed of invited and contributed talks on computational aspects of topological data analysis. Contributed talks can be suggested in the form of an abstract of at most two pages. A scientific committee will check the submissions and make a selection.

The first two issues of the workshop were online conferences – the upcoming workshop is the first one where on-site participation is possible. We encourage this option, but equally welcome submissions of researchers that attend remotely.

Dates:
Deadline for abstracts of contributed talks: June 23, 2023
Notification of acceptance: July 14, 2023

Submission server: https://easychair.org/conferences/?conf=compper2023

Web-page: https://www.cs.purdue.edu/ComPerWorkshop/

Scientific committee:
Tamal Dey (Purdue)
Tao Hou (De Paul University)
Michael Kerber (Graz University of Technology)
Steve Oudot (INRIA Saclay)
Yusu Wang (Univ of California, San Diego)

Organizers: Tamal Dey, Michael Kerber, Soham Mukherjee, Shreyas Samaga, Tao Hou

FoQaCiA Summer School is a two-week program taking place at Bilkent University focused on theoretical aspects of quantum computing aimed primarily at senior undergraduate and graduate students. During the school, participants will have an opportunity to learn the foundations of quantum computing theory from leading experts and work intensively under the guidance of active researchers in the field.
Location: Bilkent University, Ankara, Turkey
Organizers: Rui Soares Barbosa and Cihan Okay

Registration is now open: https://foqaciasummerschool.com
Deadline for registration: May 1, 2023

We would like to draw your attention to the “Third Graduate Student Conference: Geometry and Topology meet Data Analysis and Machine Learning” to be held at Northeastern University on June 8th to June 10th, 2023. 

The goal of the conference is to gather graduate students and postdocs to share their research work in applications of Geometry and Topology to Data Analysis and Machine Learning. The aim is to build bridges between academic institutions, and to enhance discussion and collaboration via poster sessions, short presentations, and discussion panels. A plenary lecture will be delivered by Prof. Justin Solomon (MIT).

We anticipate having some amount of funding to support students who would like to attend.  Registration details can be found in https://gtdaml.wixsite.com/2023. The deadline for applying for

financial support is May 10, 2023.

This is the third installment in the series of conferences (GDTAML 19’ https://tgda.osu.edu/gtdaml2019  and GTDAML 21’ (https://gtdaml.wixsite.com/2021) and follows other synergistic activities run by the organizers in the past (e.g., https://www.ams.org/programs/research-communities/2022MRC-DataSci).

Please contact the organizing committee via gtdaml2023@gmail.com if you have any questions.

Benedikt Fluhr writes:
Dear colleagues and investigators of applied topology,

we are pleased to announce the forthcoming BIREP summer school on persistence modules and the interplay of representation theory and topological data analysis.

This events program consists of a series of three talks by this years invited speaker Wojciech Chachólski (KTH Stockholm) as well as a number of different talks to be delivered by the participants.

Date: July 31–August 4, 2023

Location: Hotel Waldcafé Jäger, Bad Driburg, Germany

Registration Deadline: June 1, 2023

For more details, please visit our webpage or leave us a message at birep-school@math.uni-bielefeld.de .

Kind regards, 
the organisers 
Raphael Bennett-Tennenhaus, Rudradip Biswas, Benedikt Fluhr, Jan-Paul Lerch, Janina Letz, and Julia Sauter

We are glad to announce that next year’s Young Topologists Meeting (YTM) will take place at EPFL, Lausanne, Switzerland, from July 24th to July 28th 2023.

The purpose of YTM is to offer young topologists an occasion to come together and present their work in a relaxed and informal setting.

The program will consist of short talks given by the participants and two series of lectures by Professor Katharine Turner (Austalian National University) and Professor Marc Hoyois (University of Regensburg).

Registration is now open until the 31th of march, please fill in the following form if interested.

Information about the conference is available at: ytm2023.epfl.ch. If you have any questions, please feel free to contact the organizers via ytm2023@epfl.ch

We are looking forward to seeing you in Lausanne!

Kind regards,

The organizers

Nicolas Berkouk, Hadrian Heine, Henry Kirveslahti, Samuel Lavenir, Kelly Maggs, Olivia Monjon, Victor Roca i Lucio, Bernadette Stolz-Pretzer

Dear colleagues,
It is our pleasure to announce the Danish-Swedish summer school on TDA and spatial statistics to be held at Aalborg University from June 26-30, 2023.

The school is a five-day event with the aim of educating researchers to work at the interface of Topological Data Analysis (TDA) and Spatial Statistics. The principal target group are PhD students and postdocs in applied topology, statistics, and related subjects. Although dealing with similar problems, until recently there has been little interaction between TDA and spatial statistics. The summer school will thus be a major stepping stone for networking and knowledge sharing between these branches of applied topology and statistics.

The invited lecturers are:

    Wojciech Chachólski (KTH) TBA
    Anne Estrade (Université Paris Cité) The geometry of Gaussian fields
    Érika Roldán (MPI Leipzig) Topology and Geometry of Random Cubical Complexes
    Rasmus Waagepetersen (Aalborg University) Cox processes – mixed models for point processes

Further information and the registration can be found on the website https://www.dstda.com/

The registration fee of 50 Euros covers the lunches and coffee breaks; registration deadline: April 30, 2023.

We are looking forward to an inspiring event.

Best regards, the organizers
Christophe Biscio, Wojciech Chachólski, Ottmar Cronie, Lisbeth Fajstrup, Adélie Garin, Christian Hirsch, Martina Scolamiero

Dear all,

We are pleased to advertise an upcoming workshop on Randomness in Topology and its Applications to be held March 20-24, 2023, at the Institute for Mathematical and Statistical Innovation in Chicago.

We have an amazing line up of speakers and there will also be a poster session. It will be possible to attend virtually. More details and registration is at https://www.imsi.institute/activities/randomness-in-topology-and-its-applications/

Best wishes,

Sayan Mukherjee, Katharine Turner and Shmuel Weinberger

****************************************

Randomness in Topology and its Applications

Place: Institute for Mathematical and Statistical Innovation (Chicago).

Date: 20-24 March, 2023

Recent years have seen an enormous growth in the applications of topology to other disciplines from the biological sciences to materials science, and from dynamical systems to cosmology and engineering. Many of these are factored through “topological data analysis” (TDA), but not all, with notable exceptions among those from dynamics and from engineering. All of these applications are due to topology’s capacity to define precise invariants from imprecise data: topological invariants (like the winding number of a curve around a point) are usually discrete and have some stability properties (here, to arbitrary perturbations that don’t move points as much as their distance to that point) that make them attractive.

However, topological stability is quite different from ordinary statistical stability. A single outlier can completely change the apparent topology of a space. One of the ways of dealing with this, persistence, has had numerous applications within pure math in recent years (in differential geometry, group theory, and approximation theory, to name three). The study of topology of random processes, and how the randomness perturbs topology is thus arising as an important scientific issue with potentially very wide significance. This workshop will bring together workers who have been dealing with this in different settings and in different ways, which should lead to progress in both application domains, and in a longer run, on the fundamental problems.

Organizers:

Sayan Mukherjee, Katharine Turner, Shmuel Weinberger

Confirmed Speakers:

Omer Bobrowski, Gunnar Carlsson, Fred Chazal, Lorin Crawford, Herbert Edelsbrunner, Teresa Heiss, Matthew Kahle, Facundo Memoli, Washington Mio, Konstantin Mischaikow, Anthea Monod, Liz Munch, Daniel Perez, Vanessa Robins, Erika Roldan, Alex Strang, Jonathan Taylor, Sarah Tymochko, Bei Wang, Yusu Wang, Erin Wolf-Chambers

In September, Justin Curry posted here about an open Assistant Professor position in Data Science (tenure track) in the department of Mathematics and Statistics at UAlbany.

Since then, our department has obtained two more lines for tenure track positions in data science, one at the level of Assistant Professor and the other at the level of Full Professor. The two additional lines are part of a large cluster hire dedicated to staffing a new $75 million AI Initiative.

People working in topological data analysis and machine learning are especially encouraged to apply, as are members of groups underrepresented in STEM.

Review of Applications begins on January 12th, 2023.

Feel free to contact me or Justin if you have questions.

Hi all,

In Winter 2023, the electronic Computational Homotopy Theory (eCHT) online research community is offering an online algebraic topology course using Hatcher’s textbook. More information is available at the link:
https://s.wayne.edu/echt/echt-courses/algebraic-topology-homology-and-cohomology-winter-2023/

Please see the below information from Dan Isaksen:

********************
I’m writing about an online course to be offered in Winter 2023 that may be a good fit for people in applied topology. Please share this information with anyone who might be interested.

The electronic Computational Homotopy Theory (eCHT) research community is an online home for mathematicians with interests in homotopy theory and related topics. The community is sponsored by a National Science Foundation (NSF) Research Training Group (RTG) grant. See
s.wayne.edu/echt
for more information about eCHT in general.

In Winter 2023, we will offer an online graduate course on introductory algebraic topology. This course could be well-suited to some students, especially if their institutions are not offering introductory algebraic topology this year. Our target audience includes first-year PhD students with interests in algebra, geometry, or topology; and masters students who are preparing to enter a PhD program soon. We are also open to enrolling advanced undergraduate students under certain circumstances.

See
https://s.wayne.edu/echt/echt-courses/algebraic-topology-homology-and-cohomology-winter-2023/
for more information, including a syllabus, grading policies, prerequisites, and application instructions. We do not charge tuition, but students are generally expected to enroll for independent study credits at their home institutions.

Please reach out if you have any questions.

Thanks,

Dan Isaksen
Professor, Department of Mathematics, Wayne State University, Detroit, Michigan, USA
isaksen@wayne.edu

Martina Scolamiero writes:
We currently have an open position for a two year postdoc to join our Topological Data Analysis group at the mathematics department of KTH in Stockholm.

https://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/jobID:561932/type:job/where:4/apply:1

The group has been growing lately and we are currently  two faculty members: Wojciech Chacholski and Martina Scolamiero, five postdocs and four PhD students.

We are interested in a variety of topics including: definition and computation of persistence based invariants, homological methods for the study of discrete dynamical systems, homological algebra for poset representations, applications to neuroscience and machine learning. 

The position is financed by WASP, which also offers great opportunities for networking and collaboration with researchers working in mathematical foundations of A.I.