Brittany Fasy writes:
ATMCS11 will be held in Summer 2025 in Bozeman, MT.
Stay tuned for more details!
Brittany Fasy writes:
ATMCS11 will be held in Summer 2025 in Bozeman, MT.
Stay tuned for more details!
The 40th International Symposium on Computational Geometry (SoCG 2024) is planned to take place in Athens, Greece, June 11–14, 2024. It brings together the global community of researchers who work on a large variety of aspects that combine geometry, algorithms and applications. To allow a broad audience to actively participate in the community’s major scientific event, this year SoCG will again be accompanied by a series of satellite events, which together constitute “CG Week 2024”.
One of these satellite events will be the “Computational Geometry: Young Researchers Forum” (CG:YRF), which is aimed at current and recent students. The active involvement by students and recent graduates in research, discussions, and social events has been longstanding tradition in the CG community. Participation in a top-level event such as SoCG can be educating, motivating, and useful for networking, both with other students and with more senior scientists.
The YRF presents young researchers (defined as not having received a formal doctorate before January 1, 2022) an opportunity to present their work (in progress as well as finished results) to the CG community in a friendly, open setting. Just like in the main event, presentations will be given in the form of talks. A pre-screening (but no formal review process) will ensure appropriate quality control.
CG:YRF 2024 conference web page https://sites.google.com/alumni.stonybrook.edu/cgyrf24/
CG:YRF 2024 easychair submission page https://easychair.org/conferences/?conf=cglyrf2024
The idea of the event is for young researchers to present new and ongoing work. Therefore, the work should not have appeared in print in a formally reviewed proceedings volume or journal by the time of submission deadline, and at least one author must be a young researcher.
Topics must fit into the general context of SoCG, as described in the call for SoCG submissions
Submissions must be formatted according to the same style file as regular SoCG submissions and not exceed 80 lines, excluding front matter and references. Unlike SoCG, YRF is not employing double-blind reviewing this year. To ensure an accurate line counting, authors must use the LaTeX class file socg-lipics-v2021, which is a wrapper around the standard LIPIcs class, see these guidelines. Authors should refrain from putting excessive amounts of texts in parts in which lines are not counted automatically.
Submissions can contain an appendix of arbitrary length to provide further details for the screening process, but the main body of the text should be understandable without reading the appendix. Appendices will also not be contained in the booklet (see below).
Accepted abstracts will be compiled in a booklet of abstracts that will be distributed among the participants; this should not be considered a formal publication. In particular, participants are encouraged to submit (an extended version of) their presented work to a conference with formal proceedings and/or to a journal. Booklets of abstracts from previous years’ YRF are available on https://www.computational-geometry.org.
The work must be presented at CG:YRF by an author who is a young researcher. Otherwise, it will be removed from the program.
We will employ a two-phase screening process. After the first review phase, there will be a notification of either rejection (if the result is clearly out of scope or technically incorrect), or conditional acceptance, accompanied with a description of required changes to be made (either with respect to content or format). In the second phase, we will check whether the changes have been implemented satisfactorily, and if not, a paper may still be rejected. The screening process is intended to ensure the technical quality of the presented work. Submissions that are not well-written risk rejection, irrespective of correctness. Authors are strongly encouraged to have their submissions proofread by their advisor or another experienced scientist.
Some young researchers need more time to arrange for travel, visas, or funding. Authors are thus welcome to submit before the deadline above, in order for the submission to be reviewed earlier (including earlier notification of acceptance, rejection or conditional acceptance). Please notify the PC chair after you have made such an early submission.
All submissions will be judged according to the same standards of quality regardless of the submission date. It is acceptable to have parallel submission of the same results to SoCG and YRF; however, it will be expected that the YRF submission will be withdrawn if the full paper is accepted to SoCG. The reviewing for YRF is completely independent of the reviewing for SoCG.
The School of Mathematical Sciences of Queen Mary University of London invites applications for a PhD project funded by the Leverhulme Trust, commencing in February 2024 working with Dr. Omer Bobrowski and Dr. Primoz Skraba. Applications are due December 1st.
This project will focus on a series of conjectures, recently discovered experimentally, arguing that topological features have strong universality properties (i.e., the distribution of topological descriptors is independent of the model generating the data). The main goal of this project is to develop both the theory related to these conjectures, and their potential applications in statistics and machine learning. The project will roughly be equally divided between the two parts. The theoretical part will combine probability theory, with algebraic topology and geometry.
The applications part will mainly address how universality can contribute to assessing the statistical significance of structures detected in data using topological tools.
The application procedure is described on the School webpage: www.qmul.ac.uk/maths/postgraduate/postgraduate-research/application-process/.
For further inquiries please contact email@example.com.
The School of Mathematical Sciences is committed to the equality of opportunities and to advancing women’s careers. As holders of a Bronze Athena SWAN award we offer family friendly benefits and support part-time study.
Description: Data-driven discovery is widely regarded as the fourth paradigm that can fundamentally change scientific research landscape and pave the way for a new industrial revolution. The great success, from AlphaFold to ChatGPT, has demonstrated enormous power of artificial intelligence (AI)-based approaches. However, efficient representations and featurization of complex systems are still one of the central challenges for all the AI-based discoveries. Recently, topological data analysis (TDA) has brought in a new way for data characterization and modelling. Deeply rooted in algebraic topology and computational topology, TDA enables an effective balance between data description and model generalization. TDA-based deep learning models have already shown tremendous power in various applications, such as image processing, drug design, materials design, gene analysis, virus evolution, etc. Topological deep learning has emerged as a new interdisciplinary area between applied topology, data science, and machine learning.
The objective of this special issue is three-fold. First, it aims to showcase recent progress and success in TDA and topological deep learning. Second, it promotes new algorithms, methods, and models in topological deep learning. Third, this special issue is devoted to the 4th conference on “Computational Topology and Application” at the Tsinghua Sanya International Mathematics Forum (TSIMF) in Sanya, China, Dec 18-22, 2023.
To this end, this special issue of Topological deep learning seeks original papers on the following topics including, but not limited to:
• Topological data analysis and its applications
• Multidimensional persistence, Zig-zag persistence
• Reeb graph, discrete Morse theory, Conley index,
• Path complex, Neighborhood complex, Dowker complex, hypergraph,
• hyperdigraph and their persistent homology and/or Laplacians
• Geometric anomaly detection, differential geometry, discrete exterior calculus
• Spectral graph, spectral simplicial complex, spectral hyper(di)graph
• Topological Laplacians and topological Diracs
• Persistent homology, persistent Laplacian, and other persistent forms
• Cellular Sheaves, periodic cell complex, periodic topology, and local topology
• Dimension reduction (manifold learning, Isomap, Laplacian eigenmaps, diffusion maps, UMAP, MAPPER, hyperbolic geometry, Poincaré embedding, etc)
• Geometric deep learning, graph neural network, simplex complex neural network
• Manuscript submission Deadline: October 10, 2023 (Will be extended)
• Completion of Peer Reviews: December 10, 2023
• Publication Date: January 30, 2024
• Guowei Wei (firstname.lastname@example.org), Michigan State University
• Jie Wu (email@example.com), Beijing Institute of Mathematical Sciences and Applications (BIMSA)
• Duc Nguyen (firstname.lastname@example.org), University of Kentucky
• Kelin Xia (email@example.com), Nanyang Technological UniversityMore detailed information can be found https://www.aimsciences.org/FoDS/news/3825
Francois Petit writes:
The team METHODS of the Centre de Recherche Epidémiologie et Statistiques/Université de Paris (CRESS-UMR1153) is looking for a post-doctoral fellow on an ANR-funded project (lead by Francois Petit).
The aim of the ToROTR project is to develop and study topological, geometric and statistical methods to develop optimal treatment rules and evaluate their robustness. This interdisciplinary project encompasses a diverse range of domains, including topological data analysis, causal inference, and machine learning. We warmly welcome applicants from various backgrounds who are eager to learn and explore new topics.
We are searching for a dedicated candidate with a strong mathematical background and a doctoral degree in mathematics, statistics, or machine learning, who possesses a keen interest in applying their skills to health sciences.
Candidates with strong expertise in topological data analysis and experience in coding and working with real data are very welcome.
Team: The team METHODS of CRESS, located at Hôtel-Dieu hospital in the center of Paris, is affiliated to Université Paris-Cité and Inserm. It offers a dynamic international research environment.
Education level: Doctoral degree in mathematics or (bio-)statistics or computer science
Duration: 12 months
How to Apply: Your application should include a cover letter with a brief account of your research interests and motivation for applying for the position, a resume and a complete list of publications, the name, and email address of 2 references.
The deadline to apply is the 15h of September 2023.
Grigory Garkusha writes:
This is to bring to your attention the permanent Lectureship position in applied algebra or applied topology at the Mathematics Department of Swansea University.
The deadline for applications is 4th September, 2023. All information can be found at the webpage:
Rémi Molinier writes:
There is a one year Postdoc position in Grenoble to work on TDA applied to material science, as a part of the chair MAGNET of the MIAI institute of Grenoble, under the guidance of Noël Jakse and myself. The starting date should be before the end of December 2023.
The goal is to construct topological descriptors for local environment of atoms to study cristal nucleation in alloys. This is the continuation of the work here which study only the case of monoatomic metals where the main issue will be to deal with different type of atoms.
We are looking for someone with an expertise in TDA and interested in applications. Experience of computing and working with data will be really appreciated. Knowledge and interest in physics and basics in machine learning is not mandatory but will be a plus.
To apply, interested candidates should send a CV with a list of publication and two reference letters to myself (firstname.lastname@example.org). Feel free to contact me for any questions regarding the position of the project.
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.
Deadline for abstracts of contributed talks: June 23, 2023
Notification of acceptance: July 14, 2023
Submission server: https://easychair.org/conferences/?conf=compper2023
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
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 email@example.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.
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 firstname.lastname@example.org .
Raphael Bennett-Tennenhaus, Rudradip Biswas, Benedikt Fluhr, Jan-Paul Lerch, Janina Letz, and Julia Sauter