2023 CMS Winter Meeting

Montreal, Dec 1 - 4, 2023

       

Scientific Sessions

Please note that all times are displayed in Eastern Standard Time (EST).

A celebration in honor of Jean-Marie De Koninck's 75th birthday: Elementary and Analytic Number Theory
Org: Nicolas Doyon and William Verrault (Université Laval)
This session focuses on the work of Jean-Marie De Koninck and his numerous research contributions in number theory on the occasion of his 75th birthday. The goal is to bring together colleagues, students, and collaborators of Jean-Marie De Koninck to exchange ideas on past work or new directions in elementary and analytic number theory.
 
Algebraic and Enumerative Combinatoric
Org: Alejandro Morales (Université du Québec à Montréal (UQAM)) and Mohamed Omar (York University)
 
Algebraic Graph Theory for Walking on Graphs
Org: Sooyeong Kim (York University), Hermie Monterde (University of Manitoba), Christopher Van Tuyl (Guelph University), Harmony Zhan (Worcester Polytechnic Institute) and Xiaohong Zhang (Université de Montréal)
 
Automorphic representations and p-adic aspects of the Langlands program
Org: Mathilde Gerbelli-Gauthier (McGill University) and Gilbert Moss (University of Maine)
 
Cluster Algebras in Representation Theory
Org: Elie Casbi (Northeastern University), Sabin Cautis (University of British Columbia), Anne Dranowski (University of Southern California) and Iva Halacheva (Northeastern University)
 
Combinatorial Design Theory
Org: Andrea Burgess (UNB, Saint John), David Pike (Memorial University) and Douglas Stinson (University of Waterloo & Carleton University)
 
Commutative Algebra
Org: Sankhaneel Bisui (University of Manitoba), Thai Thanh Nguyen (McMaster University) and Adam Van Tuyl (McMaster University)
 
Current Trends in Matrices, Graphs and Computing
Org: Shaun Fallat, Seyed Ahmad Mojallal and Sandra Zilles (University of Regina)
 
Functional Analytic tools for Financial Decision Making
Org: Mario Ghoussoub and David Saunders (University of Waterloo)
 
Geometric Analysis
Org: Siyuan Lu (McMaster University) and Xiangwen Zhang (University of California, Irvine)
 
Geometric Functional Analysis: Analytic, Discrete, and Probabilistic Aspects
Org: Serhii Myroshnychenko (University of the Fraser Valley), Michael Roysdon (Case Western Reserve University), Beatrice-Helen Vritsiou (University of Alberta) and Deping Ye (Memorial)
Geometric Functional Analysis deals with questions arising in the fields of Convex and Discrete Geometry, Probability and Information Theory, Harmonic and Functional Analysis, and even Algebraic Geometry. The central ingredient which links all of the above is the study of the nature and properties of convex bodies in finite dimensional normed spaces and associated functional extensions that find real life applications in questions arising from Computer Science and Quantum Information, Medical Tomography, Economics, Data Science and Machine Learning. Methods employed in the field include, but are not limited to, the celebrated concentration of measure phenomena, Fourier analysis and integral transforms, optimal transport, calculus of variations, and Riemannian geometric approaches.

This field is relatively young and numerous problems and central concepts are accessible to mathematicians of various backgrounds and at different stages of their career. Simultaneously, Geometric Functional Analysis has many interesting long-standing open questions, among which are Bourgain’s slicing problem, the Kannan-Lov´asz-Simonovits conjecture, Mahler’s conjecture, the Kneser-Poulsen conjecture, and the log-Brunn-Minkowski conjecture to name a few.

The principal goal of this gathering will be to encourage synergies between experts and students coming from various fields of geometry, analysis, applied mathematics, and beyond, by promoting research in such problems and related ones, while helping to establish/expand a network of diverse collaborations.

 
Geometric Partial Differential Equations
Org: Tristan Collins (MIT) and Robert Haslhofer (University of Toronto)
 
Homotopy Theory
Org: Martin Frankland (University of Regina) and Chris Kapulkin (Western University)
"Historically a branch of algebraic topology, homotopy theory is now its own discipline with deep connections to other areas, including algebraic geometry, number theory, geometric topology, category theory, and theoretical computer science, among others. In this special session, we want to bring together researchers working on different aspects of the field: from connections to other disciplines mentioned above, to new results and computations within algebraic topology, to entirely new areas of mathematics inspired by homotopy theory. In addition, we intend this session to be primarily a venue for early career researchers, postdocs, and graduate students to present their results, although we will also invite more senior researchers.

Given the breadth of the field, we will ask all our invitees to prepare talks understandable to all members of the audience, including students and researchers outside of the specialization of the speaker. In particular, talks will clearly present the motivation behind the results. As such, we view this session as being inviting to students and accessible to mathematicians in other fields. We hope that emphasizing understandable talks will help initiate interactions between people working on different aspects of the field, leading to new collaborations. "

 
Mathematical, statistical, and AI modelling of Mpox and related diseases.
Org: Nasri Bouchra (Université de Montréal) and Woldegerima Assefa Woldegebriel (York University)
 
Mathematics of Machine Learning
Org: Ben Adcock (SFU), Jason Bramburger (Concordia), Giang Tran (Waterloo) and Hamid Usefi (Memorial)
 
Stochastic Control Theory and Applications
Org: Ali D. Kara (University of Michigan) and Somnath Pradhan (Queen's University)
 
Supporting Numeracy for Non-STEM Students
Org: Kseniya Garaschuk and Vanessa Radzimski (University of the Fraser Valley)
 
Schedule to be determined

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