Events - Page 4
C*-seminar by Ali Miller (KU Leuven).
Kari Dalnoki-Veress is a Faculty of Science Research Chair in Experimental Soft Condensed Matter Physics in the Department of Physics and Astronomy at McMaster University and an adjunct professor at the ESPCI in Paris, France. He is an experimental physicist with a passion for soft condensed matter and teaching. Dalnoki-Veress has received the Canadian Association of Physicists Brockhouse Medal, the Rutherford Memorial Medal in Physics from the Royal Society of Canada, the American Physical Society Division of Polymer Physics Dillon Medal and was elected as a Fellow of the American Physical Society in 2011. Dalnoki-Veress has served as Chair of Physics and Astronomy for NSERCs Discovery Grants, an Editor of the European Physical Journal E, Editorial Advisory Board of Macromolecules and ACS Macro Letters, and currently as a Divisional Associate Editor for Physical Review Letters. His research group at McMaster focuses on fundamental experiments in soft and living matter at surfaces and interfaces. Dalnoki-Veress is also CTO of MesoMat Inc. which exploits the world between molecular and macroscopic – the mesoscale – to enable material innovation.
Erland Ørbekk is a Norwegian technology and engineering leader with a strong background in advanced engineering, product development, and future technologies. He has held senior technical and leadership roles within the Nammo group, including positions related to engineering, development, and future technology initiatives. His expertise spans innovation-driven industrial environments, computational engineering, and high-technology product development.
In addition to his industrial leadership experience, Ørbekk has contributed to technical and research-oriented work within computational fluid dynamics and engineering analysis. He is also involved in board and advisory activities connected to advanced manufacturing and technology companies in Norway.
A numerical semigroup is said to be Weierstrass if it is the semigroup of pole orders of rational functions that are regular at all but one point of some compact Riemann surface or smooth algebraic curve. Hurwitz asked in 1892 whether all numerical semigroups can occur. Buchweitz in 1980 gave the first examples of Non-Weierstrass semigroups. In this paper we give a new method, using syzygies, to show that certain semigroups are not Weierstrass, including the first one of multiplicity 6 (the lowest possible) and genus 13 (the lowest known). We give many other examples to which the method applies.
Herman Martens Meyer is a PhD candidate in the Department of Mathematics at the University of Oslo. Prior to starting his PhD, he completed an integrated Master’s degree in Applied Physics and Mathematics at the Norwegian University of Science and Technology (NTNU). For his Master’s thesis, he worked on identifying subsurface turbulence using light reflected from a free surface. His research interests include wave turbulence, breaking waves, and free-surface turbulence.
Around 1970, Gruson and Raynaud proved that one may render a morphism of finite presentation flat by blowing up an ideal in the target, with rather mild restrictions on the involved schemes. New proofs, entirely different from the one of Gruson and Raynaud, have been found by Fujiwara and Kato and by Guignard. The two proofs are basically the same, both using Temkin's relative Zariski–Riemann spaces, the limits of all interesting blow-ups. These spaces are quasi compact locally ringed spaces whose local rings are close to being valuation rings, so that almost anything is flat, and due to their quasi compactness, one may descend flatness to a genuine blow-up.
Notes for the talk here.
References
Quentin Guignard: A New Proof of Raynaud–Gruson’s Flattening Theorem (arXiv:1801.01188v3)
Kazuhiro Fujiwara and Fumiharu Kato: Rigid Geometry and Applications, in Advanced Studies in Pure Mathematics 45 (2006), Moduli Spaces and Arithmetic Geometry (Kyoto, 2004), pp. 327–386.
QOMBINE seminar talk by Leon Loveridge (University of South-Eastern Norway)
Ahmad Rafsanjani is a Professor of Soft Robotics in the Biorobotics section of the Maersk Mc-Kinney Møller Institute at the University of Southern Denmark (SDU). He received his doctoral degree in 2013 from ETH Zurich. Prior to joining SDU, he held postdoctoral positions with Daminao Pasini at McGill University, Katia Bertoldi at Harvard University, and André Studart in Complex Materials at ETH Zurich. His research group at SDU Soft Robotics develops adaptive, flexible systems inspired by nature, often realized through kirigami- and origami-based metamaterials and composite materials for friction-driven limbless locomotion and soft robotic perception.
C*-seminar by Haluk Sengun (University of Sheffield).
Jens Eggers is a Professor of Applied Mathematics at the University of Bristol, specializing in the analysis of singularities in nonlinear partial differential equations, with a particular focus on applications to fluid dynamics and hydrodynamics. He was elected a Fellow of the American Physical Society in 2009 for his contributions to singularities in free-surface flows. Eggers was awarded the Naylor Prize and Lectureship in 2023 for his contributions to the theoretical understanding of singularities of nonlinear partial differential equations.
The goal is to understand "Birational Invariants from Hodge Structures and Quantum Multiplication" by Katzarkov-Kontsevich-Pantev-YU. KKPY introduce new birational invariants called Hodge atoms. These are constructed by combining classical Hodge theory with quantum cohomology. They use it to prove that a very general cubic fourfold is not rational.
Aliaksandr Hubin is an Associate Professor in Statistics at the Norwegian University of Life Sciences and University of Oslo. He holds a PhD in Statistics from the University of Oslo (2018) and specializes in Bayesian inference, machine learning, and statistical modeling. His research focuses on scalable and interpretable methods in Bayesian regression context, with particular expertise in latent binary Bayesian neural networks, Bayesian generalized nonlinear models.