Category: appliedtopology

The WinCompTop@ATMCS event, organized by Erin Chambers, Ellen Gasparovic, and Yusu Wang, will be held June 6-7 at The Ohio State University.  Any member of the community (man or women) is welcome and encouraged to join us for this meeting.  In addition to talks by participants from the prior WinCompTop workshops and members of the community, there will also be a panel discussion, a dinner or social event, and open time for working groups to meet (or start new projects).  Funding is available to help with travel, particularly for junior participants.  

If you were a participant of one of the first two workshops and would be interested in talking about your group’s project or follow-up work, please get in touch with an organizer! 

After scheduling these talks, we plan to add additional talk slots for members of the community, but we hoped to first showcase some of the fantastic research that came out of WinCompTop 1 and 2.

Stay tuned for funding details and a program soon, and we hope to see many of you there!

1. Postdoc in Topological Data Analysis (part of the EPSRC-funded Oxford-Livepool-Swansea Centre for Topological Data Analysis)
Closing date: 29 February 2020

https://www.swansea.ac.uk/personnel/jobs/details.php?nPostingId=64919&nPostingTargetId=81292&id=QHUFK026203F3VBQB7VLO8NXD&LG=UK&mask=suext

2. Postdoc in computational tropical geometry
(Funded by Yue Ren’s UKRI fellowship)
Closing date: 1 March 2020

https://www.swansea.ac.uk/personnel/jobs/details.php?nPostingID=65099&nPostingTargetID=81412&option=52&sort=DESC&respnr=1&ID=QHUFK026203F3VBQB7VLO8NXD&JOBADLG=UK&Resultsperpage=20&lg=UK&mask=suext

These are both 3-year positions, 100% research focussed with no obligatory teaching load.

3. PhD scholarship in topological data analysis
Closing date: 28 February 2020
(open only to EU/UK residents)
https://www.swansea.ac.uk/postgraduate/scholarships/research/mathematics-phd-topological-data-biomedical.php

4. Additional PhD funding opportunities at Swansea though CDTs that could cover projects in topological data analysis (both of these are unfortunately open only to EU/UK residents:

• EPSRC multi-disciplinary Centre for Doctoral Training in Human-Centred AI and Data Science.   https://www.swansea.ac.uk/science/epsrc-centre-for-doctoral-training/

• UKRI Centre for Doctoral Training in Artificial Intelligence, Machine Learning & Advanced Computing (AIMLAC)  http://cdt-aimlac.org/

Please see the call below. Notice that this media track has expanded its definition to have a wider scope this year. We welcome your submissions!

Here is the corresponding webpage:

https://socg20.inf.ethz.ch/media

Computational Geometry: Media Exposition — First Announcement

=========================================================
Media, Visualizations, and Geometric Art are sought for the 29th International Computational Geometry Media Exposition (CG:ME), which will take place as part of Computational Geometry Week 2020, encompassing the 35th International Symposium on Computational Geometry. Submissions showcase creative approaches to illustrate research and/or support education in computational geometry. 

DATES
=====

All deadlines are 23:59 anywhere on earth.

• February 21, 2020 Abstract and media portfolio submissions due
• March 8, 2020 Notification of acceptance/rejection
• March 30, 2020 Final version of abstract and portfolio
• June 23-26, 2020 Computational Geometry Week

CONTENT
=======

• The submission should be related to computational geometry, broadly interpreted, but is otherwise unrestricted: for example, it can illustrate a (new or existing) concept, technique or algorithm from computational geometry, it can explain an application of computational geometry, it can be meant for educational purposes or for entertainment purposes, and so on. 
• The form of media is broad, including algorithm animations, interactive software and games, scientific artwork, sculptures, paintings, and virtual reality demonstrations. While videos are welcome, they are no longer required as in previous years.

SUBMISSION
==========

A submission consists of two parts: a portfolio and a paper.

• Submit a portfolio of the work, such as images, video, link to interactive apps, etc.  The submission should still be “displayable” during CGweek, and the authors should specify in their submission how the piece will be displayed. For example, if it is about a geometry-inspired sculpture, then one can bring the sculpture itself, or submit a video about this sculpture, its story and its connection to computational geometry. Note that if your work is a video, then the portfolio and the work are in fact identical.
• Submit a paper which details the portfolio and where applicable, the techniques used in the implementation. The paper should explain the connection of the submission to computational geometry, broadly interpreted.  
• Acceptance is based on both the submitted portfolio and the accompanying paper.

Technical Details

• Portfolio submissions are limited to 100 MB. Authors are free to post higher quality versions on their own web sites, and we will include links in the electronic proceedings to their version, in addition to the official version (<100 MB) archived on http://www.computational-geometry.org

• Videos should be 720p or better, using H.264, where the embedded audio stream should be AAC of at least 128kBit/s.
• The paper must be formatted according to the guidelines for the conference proceedings using the LIPIcs format, and not exceed 100 lines, excluding front matter and references.  The number of images in the paper should also be kept reasonable. Typesetting instructions and the .cls style file are available on the CG website: http://www.computational-geometry.org

EVENT
=====

• The Work will be on display at a gallery during Computational Geometry Week.  
• The authors will have a session devoted to giving a short talk on their work at the Symposium on Computational Geometry.

COMMITTEE
=========

• Henry Adams, Colorado State University, USA
• Jit Bose, Carleton University, Canada
• Satyan Devadoss (chair), University of San Diego, USA
  • email [email protected] with any questions
• David Eppstein, University of California, Irvine, USA
• John McCleary, Vassar College, USA
• Marc van Kreveld, Utrecht University, Netherlands
• Yusu Wang, The Ohio State University, USA
• Lori Ziegelmeier, Macalester College, USA

Computational & Algorithmic Topology, Sydney (CATS 2020)

The University of Sydney, 27-31 July 2020

https://sites.google.com/view/cats-2020

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Abstract:

This workshop at the University of Sydney will bring together experts and emerging researchers from Australia, the USA and Europe to report on recent results and explore future directions in computational and algorithmic topology and related areas. There will be a focus on problems in computational geometric topology and computational algebraic topology. This workshop aims to stimulate interaction between researchers in order to bring about new collaborations on difficult problems that cannot be tackled from one viewpoint alone.

We plan to have talks by our invited speakers in the mornings, and open problem sessions, a poster session, and plenty of time for collaboration in the afternoons.

Invited Speakers:

Herbert Edelsbrunner (Institute of Science and Technology Austria)
Brittany Fasy (Montana State University)
Gregory Henselman (Princeton University)
Feng Luo (Rutgers University)
Zuzana Patáková (Institute of Science and Technology Austria)
Jessica Purcell (Monash University)
Vanessa Robins (Australian National University)

Organizers:

Jonathan Spreer (The University of Sydney)Stephan Tillmann (The University of Sydney)
Katharine Turner (Australian National University)

“AI & Topology” at the Applied Machine Learning Days 2020, EPFL

This year’s Applied Machine Learning Days will take place on January 27-29, 2020 at EPF Lausanne (Switzerland).  The goal of this conference is to bring together the best people in the field to talk about a variety of topics in the practice of machine learning — from technical developments to applications in social, scientific or other domains.  Previous editions featured keynote speakers such as Jeff Dean and Christopher Bishop, researchers from academic institutions and industry (Google AI and DeepMind, Facebook AI, IBM Research, Microsoft Research, and others), as well as public figures such as Zeynep Tufekci and Garry Kasparov.

This is the fourth iteration of the event, with more than 1500 people expected to attend each day this time.  The event will feature more than 20 domain-specific tracks and, over the weekend preceding the main event, a set of workshops, challenges, and other “hands-on” events.

L2F and the Laboratory for Topology and Neuroscience have the pleasure to announce this year’s AI & Topology track which will take place on Tuesday 28 January.  The purpose of the track is to showcase a variety of successful ideas and concrete applications of topology, geometry or other abstract mathematics to machine learning and data analysis.  It will feature the following speakers:

• Kathryn Hess Bellwald (EPFL)
• Frédéric Chazal (Inria)
• Vitaliy Kurlin (University of Liverpool)
• Bastian Rieck (ETH)
• Leland McInnes (Tutte Institute)
• Nicole Sanderson (LBNL)

Additionally, there will be a panel discussion with a Q&A session. The talks will be uploaded to YouTube soon after the event.

A range of tickets for the AMLD event (including discounts for students, academics, non-profits and startups) are still available here.

Here are some of the talks that I (Mikael Vejdemo-Johansson) discovered when looking through the programme.

Wednesday

• 8.30, room 112: Topological Data Analysis for Ring Channels in Intracellular Transport.

Thursday

• 9.15, room 204: Sliding window embeddings of quasiperiodic functions.
• 9.30, room 204: Coordinatizing Data With Lens Spaces and Persistent Cohomology.
• 10.30, room 204: Cities, voting, and spider DUIs: Case studies in spatial applications of topological tools.
• 10.45, room 710: The Datasaurus and Persistent Homology.
• 11.30, room 710: Clustering Algorithms: Stability of TDA Mapper Graphs.
• 13.45, room 204: Artworks and Articles Meet Mapper and Persistent Homology.

Friday

Mikael Vejdemo-Johansson and Henry Adams are organizing a full-day special session on applied topology.

Room 113.

• 8.00: Topological Data Analysis for Detecting Dynamic State Changes via Nodal Networks.
• 8.30: Featurization of Persistence Diagrams using Template Functions for Machine Learning Tasks.
• 9.00: Approximate triangulations of Grassmannians.
• 9.30: A Bayesian Framework for Persistent Homology.
• 10.00: Limit theorems of persistent homology.
• 10.30: Brittany Fasy
• 13.00: Topological and Geometric Analysis of Discrete Random Growth Models.
• 13.30: On the Dynamics of Solvent-excluded Surface Topology under Protein Flexing.
• 14.00: Probabilistic Convergence and Stability of Random Mapper Graphs.
• 14.30: Data analysis with continuously parametrized zigzag modules and beyond.
• 15.00: Applied topology methods in knot theory.
• 15.30: Morse theory for Wasserstein spaces.
• 16.00: Vietoris-Rips homology through the looking glass.
• 16.30: The Relationship Between the Intrinsic Cech and Persistence Distortion Distances for Metric Graphs.
• 17.00: Computational topology techniques for characterizing time-series data.
• 17.30: Spatio-temporal persistent homology for dynamic metric spaces.

Also this day are

• 9.00, room 506: An Application of the Mapper Algorithm to Sports Analytics in College Basketball.
• 15.00, room 407: Topological Data Analysis of Collective Behavior.

Saturday

• 13.00 – 18.00, room 104: AMS Special Session on Vietoris-Borsuk-Rips Homotopy, with several relevant talks
  • 13.00: Parametrized homotopy theory and motion planning problems.
  • 14.00: An application of nerve complexes in imputation.
  • 15.00: Vietoris–Rips complexes of spheres.
  • 16.30: On coarse properties of persistence diagrams.
• 15.00, room 406: Manifold Learning Using Persistent Homology on the Laplacian Eigenfunctions.
• 15.30, room 204: Topological Data Analysis on Murine Pulmonary Arterial Networks Under Hypoxia-Induced Pulmonary Hypertension.

Hope to see you at the #JMM2020

———————-
CALL FOR PARTICIPATION
———————-

We wish to announce the upcoming block course

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  Stochastic Topology

  TU Berlin (Germany), March 16-20, 2020

https://www3.math.tu-berlin.de/mathplus/TES-Summer2020/TES_Block_Course_Stochastic_Topology.html

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Block Course Lecturers:
———————–

  Omer Bobrowski (Technion)
  Matthew Kahle (Ohio State, TU Berlin)
  J. Andrew Newman (TU Berlin)
  Yuval Peled (NYU Courant Institute)

Scope:
——

Stochastic topology began in the mid-twentieth century with the study
of random graphs, that is, random 1-dimensional spaces. More recently,
several models of random high-dimensional simplicial complexes have been
introduced. Some of the most important questions in stochastic topology
have to do with establishing thresholds for various topological properties
within these models. This course will begin with an overview of the
standard combinatorial and geometric models, and then we will explore
some of the techniques that have been used to study them.

The block course is organized within the third Berlin Thematic Einstein
Semester on the “Geometric and Topological Structure of Materials”,
devoted to recent developments in the field of computational materials science.

Participation:
————-

  free.

Registration:
————-

  please register via

https://forms.gle/QtG94ewFLJ9gdFiv6

Financial Support:
——————

There is limited financial support for attendance.

The deadline for support applications (via the registration form)
is

  ***  January 23, 2020  ***

  (Notification is by January 30, 2020.)

We are hopeful of encouraging people from a wide variety of scientific
and mathematical backgrounds to attend. Any queries can be addressed
to the organizing committee at

[email protected]

The Spring School on Data Science and Quantum Computing is being organised by the Institute of Applied Data Science at Queen Mary University of London. It takes place from Sunday 29th March to Thursday 2nd April 2020. The event includes:   

    Spring School on Data Science: 29-31 March 2020,

     Workshop on Quantum Computing: 1 – 2 April,  2020. 

The Spring School and Workshop welcomes applications from PhD students and early career researchers with interests  in data science. The School will cover a broad range of topics such as democracy and data, mathematical mechanisms of social choice, natural language processing, topological data analysis, health AI, mathematics of cancer amongst others. There will be special emphasise on quantum computing and quantum information which shall be covered by several introductory mini-courses preparing the participants for the Workshop on Quantum Computing.

The event will take place at Cumberland Lodge, Windsor.

For more information and registration please visit 

https://sites.google.com/view/spring-school-on-data-science/home

Dear Colleagues,

We’d like to make a second announcement for the Oxford Applied Topology School (OxATS), which will take place at the University of Oxford in the UK, from the 30th March to 3rd April 2020. The School is designed for early career researchers in Computational and Applied Topology to meet and learn about topics in the field under the guidance of senior researchers. The Applied Topology School will feature 3 mini-lecture series:

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Geometric and Topological Inference: Frédéric Chazal, Inria Saclay
Topological Complexity: Petar Pavešić, University of Ljubljana
Sheaf Theory, Homological Algebra, & Data Analysis: Michael Robinson, American University

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Participants are encouraged to present their research during a poster session. Limited free accommodation is available for early-career researchers.

Deadlines:

• Application for accommodation: Friday 10 January 2020
• General registration: Friday 28 February 2020
• Poster titles and abstracts: Friday 28 February 2020

For more details concerning accommodation, financial support, registrations fees and deadlines see the OxATS website.

We hope you will be interested in joining the school and we look forward to hearing from you. Please do not hesitate to contact us with any queries at [email protected].

This event is supported by the Oxford Centre for Topological Data Analysis

Oxford Applied Topology School Organising Committee

Naya Yerolemou
Oliver Vipond
Ambrose Yim
Jacob Leygonie
Barbara Mahler

Raul Rabadan and Andrew Blumberg have just published a book on TDA and applications in biology.