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DTSTART;VALUE=DATE:20230107
DTEND;VALUE=DATE:20230113
DTSTAMP:20260612T183106
CREATED:20221008T115107Z
LAST-MODIFIED:20221008T115107Z
UID:6899-1673049600-1673567999@aarms.math.ca
SUMMARY:The 19th Seminar on Commutative Algebra and related topics
DESCRIPTION:Every year the school of mathematics of IPM-Tehran organizes a seminar and workshop to introduce the research topics in the main streams of “Algebraic Geometry\, Commutative algebra and Combinatorial commutative algebra” to young researchers and PhD students\, and encourage them to collaborate in teams led by well-known mathematicians in this area. This year we have paid special attention to inviting regional speakers\, as well as international leaders. Our list of speakers highlights female mathematicians\, and the areas represented are those in which there is regional expertise\, hopefully leading to new collaborations.\nThe conference is preceded by a workshop on Lefschetz properties and connections to algebra\, geometry and combinatorics. The workshop will feature the leading questions in the area\, and the lectures will be delivered by some of the main players in this field.
URL:https://aarms.math.ca/event/the-19th-seminar-on-commutative-algebra-and-related-topics/
LOCATION:Institute for Research in Fundamental Sciences (IPM) Tehran\, Iran\, Tehran\, Iran\, Islamic Republic of
CATEGORIES:AARMS sponsored events
ORGANIZER;CN="Sara Faridi":MAILTO:sara.faridi@dal.ca
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20230111T153000
DTEND;TZID=UTC:20230111T163000
DTSTAMP:20260612T183106
CREATED:20230106T111103Z
LAST-MODIFIED:20230106T113715Z
UID:7016-1673451000-1673454600@aarms.math.ca
SUMMARY:Atlantic Graph Theory Seminar: Pawel Pralat\, Metropolitan University of Toronto
DESCRIPTION:An Unsupervised Framework for Comparing Graph Embeddings\nThe goal of many machine learning applications is to make predictions or discover new patterns using graph-structured data as feature information. In order to extract useful structural information from graphs\, one might want to try to embed it in a geometric space by assigning coordinates to each node such that nearby nodes are more likely to share an edge than those far from each other. There are many embedding algorithms (based on techniques from linear algebra\, random walks\, or deep learning) and the list constantly grows. As a result\, selecting the best embedding is a challenging task and very often requires domain experts. Our general framework assigns the divergence score to each embedding which\, in an unsupervised learning fashion\, distinguishes good from bad embeddings. In order to benchmark embeddings\, we generalize the Chung-Lu random graph model to incorporate geometry.\n\n\nJoin Zoom Meeting\nhttps://us02web.zoom.us/j/82306017918?pwd=Q0hKTElTMzQxaythWmE3SnhtbGZDUT09\n\nMeeting ID: 823 0601 7918\nPasscode: 045489
URL:https://aarms.math.ca/event/atlantic-graph-theory-seminar-pawel-pralat-metropolitan-university-of-toronto/
LOCATION:Online via Zoom
CATEGORIES:AARMS Atlantic Graph Theory Seminar
ORGANIZER;CN="jeannette Janssen":MAILTO:jeannette.janssen@dal.ca
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Halifax:20230113T160000
DTEND;TZID=America/Halifax:20230113T170000
DTSTAMP:20260612T183106
CREATED:20200904T115630Z
LAST-MODIFIED:20230110T200300Z
UID:6991-1673625600-1673629200@aarms.math.ca
SUMMARY:Dalhousie-AARMS AAMP Seminar: Andrea Bertozzi (UCLA)
DESCRIPTION:Title:  Energy Minimizing Surface Tension Configurations for Microparticles\nAbstract: An important area of microfluidics is the creation and manipulation of small droplets. This is commonly done using microchannels or electrowetting. Recently a new method is proposed to create templated droplets using amphiphilic microparticles. These particles are observed to hold nearly equal volumes of aqueous liquid when dispersed in an oil–water mixture. However a theory for this behavior is lacking. In this paper\, we present a mathematical model based on minimizing the surface tension energy of a system of particles. By analyzing this model\, we demonstrate that certain key properties of the particle guarantee the formation of small droplets within a volume range unique to the particle. We also look at statistical dynamics of pairwise exchange of fluids between particles for which the system can reach equilibrium.  We show examples of how such particles are useful for applications such asbiological assays and measurement of chemical secretions from single cells.\n\nThe Dalhousie-AARMS Analysis-Applied Math-Physics Seminar takes place on Fridays from 4 – 5 pm Atlantic Time over Zoom and in Chase 227.  If you would like to attend\, please email the organizers for connection details.
URL:https://aarms.math.ca/event/dalhousie-aarms-aamp-seminar-steven-lester-kings-college-london-2-2-3-2-2-2-4-2-2-2-2/
LOCATION:Dalhousie University\, Halifax\, Nova Scotia\, Canada
CATEGORIES:AAMP Seminar
ORGANIZER;CN="Suresh Eswarathasan":MAILTO:sr766936@dal.ca
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20230118T153000
DTEND;TZID=UTC:20230118T163000
DTSTAMP:20260612T183106
CREATED:20230113T131357Z
LAST-MODIFIED:20230113T131357Z
UID:7049-1674055800-1674059400@aarms.math.ca
SUMMARY:Atlantic Graph Theory Seminar: Jane (Pu) Gao\, University of Waterloo
DESCRIPTION:Conditions for perfect matchings in random sparse bipartite graphs \nGiven a uniformly random sparse matrix A\, with specified number of nonzero entries in columns and rows\, we determine when A has full row rank over a finite field. As a corollary\, by considering A as the adjacency matrix of a bipartite graph\, our result determines the conditions for the existence of a perfect matching in various models of random sparse bipartite graphs. We will explore some useful insight from statistical physics that guides our probabilistic combinatorial proof. This is joint work with Coja-Oghlan\, Hahn-Klimroth\, Lee\, Mueller and Rolvien. \n  \nJoin Zoom Meeting\nhttps://us02web.zoom.us/j/82306017918?pwd=Q0hKTElTMzQxaythWmE3SnhtbGZDUT09\n\nMeeting ID: 823 0601 7918\nPasscode: 045489
URL:https://aarms.math.ca/event/atlantic-graph-theory-seminar-jane-pu-gao-university-of-waterloo/
LOCATION:Online via Zoom
CATEGORIES:AARMS Atlantic Graph Theory Seminar
ORGANIZER;CN="jeannette Janssen":MAILTO:jeannette.janssen@dal.ca
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Halifax:20230120T160000
DTEND;TZID=America/Halifax:20230120T170000
DTSTAMP:20260612T183106
CREATED:20200904T115630Z
LAST-MODIFIED:20230110T172249Z
UID:6994-1674230400-1674234000@aarms.math.ca
SUMMARY:Dalhousie-AARMS AAMP Seminar: Chamsol Park (Johns Hopkins University)
DESCRIPTION:Title: Eigenfunction restriction estimates on curves with nonvanishing geodesic curvatures\n\nAbstract: Studying eigenfunctions of the Laplace-Beltrami operator on compact Riemannian manifolds (without boundary) is one of the interesting topics in Harmonic Analysis. One way to study them is to consider the L^p estimates of the eigenfunctions restricted to submanifolds. In this talk\, we briefly summarize previous results and would like to talk about the logarithmic improved analogue for the restriction to curves with nonvanishing geodesic curvatures\, in the presence of nonpositive sectional curvatures in the manifolds. If time permits\, we will discuss some applications and open problems for the Schrodinger counterparts.\n\n\nThe Dalhousie-AARMS Analysis-Applied Math-Physics Seminar takes place on Fridays from 4 – 5 pm Atlantic Time over Zoom and in Chase 227.  If you would like to attend\, please email the organizers for connection details.
URL:https://aarms.math.ca/event/dalhousie-aarms-aamp-seminar-steven-lester-kings-college-london-2-2-3-2-2-2-4-2-2-2-2-2/
LOCATION:Dalhousie University\, Halifax\, Nova Scotia\, Canada
CATEGORIES:AAMP Seminar
ORGANIZER;CN="Suresh Eswarathasan":MAILTO:sr766936@dal.ca
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Halifax:20230127T160000
DTEND;TZID=America/Halifax:20230127T170000
DTSTAMP:20260612T183106
CREATED:20200904T115630Z
LAST-MODIFIED:20230110T173057Z
UID:7006-1674835200-1674838800@aarms.math.ca
SUMMARY:Dalhousie-AARMS AAMP Seminar: Alex Barnett (Flatiron Institute\, NYC)
DESCRIPTION:Title: Equispaced Fourier representations for efficient Gaussian process regression from a billion data pointsAbstract: Gaussian process regression is widely used in geostatistics\, time-series analysis\, and machine learning. It infers an unknown continuous function in a principled fashion from noisy measurements at $N$ scattered data points.  The prior on the function is Gaussian\, with covariance given by some user-chosen translationally invariantkernel.  Yet $N$ has been limited to about $10^6$\, even with modern low-rank methods.  Focusing on low spatial dimension (1–3)\, we present a GP regression method using kernel approximation by an equispaced quadrature grid in the Fourier domain.  This enables the iterative solution of a smaller Toeplitz linear system\, exploiting both the FFT and the nonuniform FFT to give ${\mathcal O}(N)$ cost. The result is often one to two orders of magnitude faster than state of the art methods\, and enables cheap massive-scale regressions. For example\, for a 2D Mat\’ern-3/2 kernel and $N = 10^9$ points\, the posterior mean function is found to 3-digit accuracy in two minutes on a desktop.Joint work with Philip Greengard (Columbia) and Manas Rachh (Flatiron Institute)\nThe Dalhousie-AARMS Analysis-Applied Math-Physics Seminar takes place on Fridays from 4 – 5 pm Atlantic Time over either Zoom and/or in Chase 227 depending on the speaker.  If you would like to attend\, please email the organizers for connection details.
URL:https://aarms.math.ca/event/dalhousie-aarms-aamp-seminar-steven-lester-kings-college-london-2-2-3-2-2-2-4-2-2-2-2-2-2-2-2-2/
LOCATION:Dalhousie University\, Halifax\, Nova Scotia\, Canada
CATEGORIES:AAMP Seminar
ORGANIZER;CN="Suresh Eswarathasan":MAILTO:sr766936@dal.ca
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