Konferenzen  >  Mathematik  >  Angewandte Mathematik (allgem.)

The Fields Institute

‘Investors’ are broadly defined and includes retail and institutional investors as well as financial advisors and brokers. Behavioural finance is the study of how the psychology of investors affects personal investment and market outcomes. Based on investment behaviours, there is a need for investment dealerships and banks to develop tools that provide automated support for retail investors and financial advisors in selecting, managing, and evaluating investment portfolios. The difficulty in designing these tools lies in the specification of the complex mathematical structure that models investor behaviour in the presence of market conditions. Machine learning offers a data-driven approach with less specification of the structure of the data generating process.

Wirtschaftswissenschaft, Unternehmen und Marketing,    Finanz und Wirtschaftswissenschaft

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

The sixth workshop on this theme has a primary focus on mathematical and statistical methods for analysing genomic data in the context of infectious disease transmission dynamics. A secondary focus area is the development and application of network theory for epidemiology.

Genomforschung und Bioinformatik,    Komplexe Netzwerke

ICERM

Discrete periodic Schrodinger operators describe the behavior of individual electrons in "ideal" crystals in the tight-binding model of solid state physics. Spectra of such operators have the usual band-gap structure, and the corresponding dispersion relations are algebraic varieties. In the 1990's Gieseker, Knorrer, and Trubowitz used toroidal compactifications to solve questions such as irreducibility of Bloch and Fermi varieties and the density of states, for a class of mono-atomic models. Their work showed that while spectral theory is focused on the real part of the Bloch variety, the study of complex singularities and compactifications is crucial for describing formation of bands and gaps. After a gap of 30 years, spectral theory is again interacting with algebraic geometry. Recently, W. Liu gave an algebraic method to obtain more general proofs of irreducibility for Fermi surfaces, Kravaris used free resolutions to study density of states, and Kuchment and coauthors used toric varieties and numerical nonlinear algebra to study spectral edges. These and other developments have led to the realization that many open questions in spectral theory may be studied using modern tools in algebraic geometry. These include the relation of reducibility/irreducibility with physical symmetries of the crystals, the structure of spectral band edges, and Dirac cones. These methods can also be applied to quantum graphs, such as graphene-type structures, and to obtain existence and non-existence theorems for embedded eigenvalues. The goal of this workshop is to bring together experts from spectral theory, mathematical physics, and algebraic geometry to understand, apply, and advance these new methods and interactions. A significant aspect of these reemerging interactions involves computation. A key recent development in algebraic geometry is computation, both symbolic and numerical. Computation and experimentation using tools from algebraic geometry have already been important in two recent papers by Sottile on this subject, and we expect it to become a useful tool for studying periodic operators. Speakers in this workshop are firmly rooted in the uses of computation and experimentation in applications of Algebraic Geometry, and many are familiar with exploiting the atmosphere and facilities of the ICERM to initiate collaboration.

Program Staff;     Tel.: [1-401-863-5030];     Email: programstaff@icerm.brown.edu

Geometrie und Topologie,    Algebra

Society for Industrial and Applied Mathematics (SIAM)

Banach Center & Polish Academy of Sciences – Institute of Mathematics

The main scope of the research group is: topological methods in estimating the minimal number of vertices which are necessary to triangulate a manifold or an action of finite group $G$ on a manifold. Another goal is the topological complexity and its computation and relation to the problem of minimal triangulation. We assume to complete two already started works in the form of publications and begin new join projects.

Geometrie und Topologie,    Numerische Analysis

Society for Industrial and Applied Mathematics (SIAM)

Akdeniz University, Department of Mathematics

The aim of the GFSNP 2023 symposium is to bring together leading scientists of the pure and applied mathematics and related areas to present their research, to exchange new ideas, to discuss challenging issues, to foster future collaborations and to interact with each other. Various fields of Mathematics, Mathematical Physics, Mathematical Chemistry, Mathematical biology, and related areas such as Analysis, Non-linear Analysis, Number Theory, Applied Algebra, p-adic Analysis, Special Functions, q-Analysis, Quantum physics, Probability and Statistics, Engineering and their applications, moment generating functions, generating functions of the special numbers and polynomials and their applications, the family of zeta functions, the family of Dirichlet type L-functions, Generating function for generalized Fisher information measure, matrix models and generating functions associated with mathematical models and stochastic differential equations, Generating function in graph theory, Generating Functions in Engineering and in Applied Sciences, Generating functions involving deviation generating function, survival function generating function, generating functions discusses a large number of applications in various disciplines including algebra, analysis of algorithms, polymer chemistry, combinatorics, graph theory, number theory, reliability, epidemiology, bio-informatics, genetics, management, economics, and statistics.

Due to the earthquake disaster in our country, we had to postpone our event to 11-13 March, 2023, instead of February 17–19, 2023.

Tel.: [+90 242 310 23 43];     Email: gfsnp.symposia@gmail.com

Various fields of Mathematics, Mathematical Physics, Mathematical Chemistry, Mathematical biology, and related areas such as Analysis, Non-linear Analysis, Number Theory, Applied Algebra, p-adic Analysis, Special Functions, q-Analysis, Quantum physics, Probability and Statistics, Engineering and their applications, moment generating functions, generating functions of the special numbers and polynomials and their applications, the family of zeta functions, the family of Dirichlet type L-functions, Generating function for generalized Fisher information measure, matrix models and generating functions associated with mathematical models and stochastic differential equations, Generating function in graph theory, Generating Functions in Engineering and in Applied Sciences, Generating functions involving deviation generating function, survival function generating function, generating functions discusses a large number of applications in various disciplines including algebra, analysis of algorithms, polymer chemistry, combinatorics, graph theory, number theory, reliability, epidemiology, bio-informatics, genetics, management, economics, and statistics.

Optimal Transport theory contains the core of the solutions to diverse problems in science, in applied mathematics, physics and astrophysics. Recent advances and developments of fast new algorithms have paved the way for major breakthroughs in different domains of research. Optimal transport bears deep-rooted connections with mechanics and physics through variational calculus. The goal of this workshop is to describe recent developments, highlight connections with physical phenomena and harbour discussions to define new challenges, help start projects between participants and draw new research path in the field. The aim is to exploit applications of optimal transport theory to physics and bring together different expertise, from mathematics, Physics and computational science.

Tel.: [0033695753862];     Email: mohayaee@iap.fr

OPTIMAL TRANSPORT THEORY, FLUID MECHANICS, STATISTICAL PHYSICS, ASTROPHYSICS, DATA SCIENCE

Astronomie, Astrophysik und Kosmologie,    Mathematische Physik

The Research Institute for Mathematical Sciences (RIMS)

Simulation,    Thermodynamik, Hydrodynamik und Statistische Mechanik

Banach Center

The meeting is planned as a follow up of the BIOMATH 2019 and DSALSS 2022 conferences held in BC in Będlewo, and will include both a workshop and a school for young scientists. It is envisaged to address methods of dynamical systems in modeling and analysis of various phenomena in Biology, Medicine and Social Sciences. A particular emphasis will be placed on non-local effects both in time and space, singular perturbation methods, stochastic differential equations, generalized kinetic equations and reaction-diffusion equations. The discussed applications will cover, among others, infectious disease initiation, progress and optimal control, tumor – immune system interactions, autoimmune diseases, as well as network dynamics, traffic problems and opinion formation. The aim of the meeting is to continue, through the presentations and scientific interactions, the collaborations between researchers building on the success of BIOMATH 2019 and DSALSS 2022. A particular emphasis will be placed on interactions between junior researchers as well as between junior researchers and the established leaders in the field.

Isaac Newton Institute for Mathematical Sciences (INI)

In this workshop we gather experts in modelling and solution of various nonlinear and rich tomographic problems across the academia and industry with the goal to exchange ideas, cross-fertilise between modalities and identify and address common challenges.

Kyoto University, Japan | The Research Institute for Mathematical Sciences (RIMS)

Infinitesimalrechnung, Differentialgleichungen, Integralrechnung,    Analysis

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

The workshop "Compensated Compactness and Applications to Materials" will bring together experts from the theory of compensated compactness with researchers in material science. Classical compensated compactness is a theory that allows to study the limit of solutions of some partial differential equations with strongly oscillating coefficients. A particular focus is on the very recent developments in the compensated compactness theory involving concentration effects and formation of singularities. These developments have enabled many new results, for instance in the theories of microstructure, shape optimization, dislocation theory, fracture, and plasticity, and they also hold much promise for future applications. To facilitate further breakthroughs, this workshop aims to balance theoretical and more applied talks to give the participants the opportunity to exchange the latest ideas, learn new methods, and start new collaborations.

Infinitesimalrechnung, Differentialgleichungen, Integralrechnung,    Festkörperphysik

American Institute of Mathematics (AIM)

This workshop, sponsored by AIM and the NSF, will be devoted to the modeling of malaria to assess the role of heterogeneity in disease dynamics. Malaria is one of the deadliest infectious diseases globally, causing hundreds of thousands of deaths each year. Since the early 1900s, mathematical modeling has been a critical component of malaria research, suggesting optimal interventions

The main topics for the workshop are: Modeling the generation, emergence, and persistence of malaria parasite diversity; Describing the emergence and spread of drug resistance in parasite populations and insecticide resistance in mosquito populations, and the impact on disease spread; Building a framework to understand age-structured immune profiles and their variability with human movement; Quantifying the impact of immunity and parasite diversity on drug resistance evolution.

Hausdorff Center for Mathematics – hcm (Universität Bonn)

Various key problems in biomedical imaging can be modeled as inverse problems (e.g. single image super-resolution, undersampling in magnetic resonance imaging, limited angle tomography, registration, segmentation). Numerous deep learning-inspired methods to tackle these inverse problems have been developed in recent years, often redefining the state of the art. The Hausdorff School on Data-driven Inverse Problems in Biomedical Imaging focuses on several mini-courses that explore this topic from both theoretical and applied perspectives. The school is aimed at PhD students and postdocs. The courses can be supplemented by introductory lectures and shorter research lectures.

Kurse und Veranstaltungen für Studenten der Mathematik,    Mustererkennung und Bildverarbeitung, Maschinelles Sehen

Hausdorff Center for Mathematics – hcm (Universität Bonn)

Mathematical modelling and analysis are nowadays essential for all fields of the life sciences, ranging from basic research to clinical application. To discuss the state of the field and potential future development, please join us in Bonn, April 17-20, 2023.

Systems Biology, Integrative Pathway Modelling , Mathematical Image Analysis, Computational Immunology, Chemoinformatics and Computational Drug Design, Single Cell Analysis, Mathematical Biology, Dynamics of Cellular and Neuronal Networks, Modelling of Tumour Microenvironment, Computational Protein Modelling and Design

Simulation,    Systembiologie und mathematische Biologie

Isaac Newton Institute for Mathematical Sciences (INI)

The accurate and efficient numerical modelling of waves interacting with complex scattering geometries is crucial for a wide range of engineering and science applications, including electromagnetic/photonic/acoustic/elastodynamic imaging and device/material design. The multiple scattering regime — i.e. wave scattering scenarios in which there are multiple interactions — includes strong scattering by multiple obstacles, periodic structures, media with variable refractive index, waveguides, random media, and non-convex obstacles. This brings special computational challenges since perturbative and one-way approximations do not apply, and ray methods usually suffer from exponential proliferation. Conventional PDE solvers are also inadequate, particularly at high frequencies, and/or when the propagation domain is highly heterogeneous (containing many scatterers, a highly variable refractive index or geometric singularities).

The aim of this workshop is to bring together researchers working on computational methods for multiple scattering and to explore possible connections and common challenges between the different communities involved.

- novel discretization techniques based on numerical homogenisation, integral equation methods, finite element methods (including Trefftz methods), and semi-analytic and generalised eigenfunction methods; - acceleration techniques including preconditioning, matrix compression (including H-matrices and the fast multipole method), domain decomposition and fast direct solvers; - robust and efficient software implementations

Angewandte Physik (allgemein),    Computerphysik und Numerische Simulation

Isaac Newton Institute for Mathematical Sciences (INI)

In tandem with the workshop on Mathematical Foundations, this week-long workshop will focus on algorithms and methodology to address key tasks in data-driven engineering. A particular focus of this workshop will be on highlighting computational challenges in the application areas of the DDE programme (aeronautics, chemical engineering, and civil and environmental engineering) and showcasing promising emerging tools.

data assimilation and statistical inverse problems, reinforcement learning and control, model order reduction, bridging mechanistic and data-driven models and methods

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Institute of Mathematics at the University of Granada (IMAG)

t is undisputed that the Earth is experiencing a period of changing climate, and due to climate change, it is expected that extreme events (e.g., heat waves, floods, storm surges, hurricanes, wildfires, earthquakes) may be more frequent, severe, and interdependent in the future, thus leading to larger impacts. An important step towards resilient extreme events monitoring and evaluating the hazards to infrastructure is to develop novel and rigorous mathematical and statistical framework that can identify areas vulnerable to compound extreme phenomena. In the current Big Data era, the difficulty of this task is often exacerbated with the data being increasingly massive and complex.

Statistik, Spieltheorie ,    Simulation

ICMS - International Centre for Mathematical Sciences

This workshop is part of the Isaac Newton Institute programme on The mathematical and statistical foundation of future data-driven engineering. A particular focus of this workshop will be on the underlying mathematical and statistical foundations required to make computational tools efficient and transferable.

data assimilation and statistical inverse problems, reinforcement learning and control, model order reduction, bridging mechanistic and data-driven models and methods.

Isaac Newton Institute for Mathematical Sciences (INI)

In tandem with the workshop on Computational Challenges and Emerging Tools, this week-long workshop will focus on algorithms and methodology to address key tasks in data-driven engineering. A particular focus of this workshop will be on the underlying mathematical and statistical foundations required to make computational tools efficient and transferable.

data assimilation and statistical inverse problems, reinforcement learning and control, model order reduction, bridging mechanistic and data-driven models and methods

Banff International Research Station (BIRS) for Mathematical Innovation and Discovery

Present day biology generates a wealth of data from which tumor biology and tumor evolution can be inferred, and therapeutic strategies can be developed. Most clinical (and research) samples are comprised of a mixture of different cells, including multiple different populations of cancer cells (‘subclones’) and a variety of normal cell types. Effective use of these data thus requires data from individual cell types to be deconvolved. A number of subfields are independently developing mathematical and statistical deconvolution techniques. While at first glance these subfields are largely disparate, there are clear opportunities for synergies to be developed. This workshop will fill this gap by bringing together researchers from several of these fragmented subfields across a wide range of backgrounds (computational biology, mathematics, statistics, computer science, biomedicine, etc.) to provide a synergistic forum for cross-disciplinary learning, discussion and collaboration.

Banach Center

Thermodynamic formalism provides a mathematical framework for studying qualitative and quantitative aspects of dynamical systems. Founders of this theory include Sinai, Bowen, and Ruelle, but principle ideas have their origin in the development by Gibbs to describe interacting particle physical systems in the realm of statistical mechanics. Key concepts include Bernoulli and Gibbs distributions, equilibrium states, variational and, in particular, maximum entropy principles. Its contemporary mathematical aspects are intimately related with ergodic theory and have applications in fractal geometry, the description of large deviations, multifractal analysis, analysis of axiom A-systems, rigidity problems, ergodic optimization and control problems, among many others. There are also relations to geometry and group theory.

ICMS - International Centre for Mathematical Sciences

Waves on the surface of a fluid, or on the interface between different fluids are ubiquitous phenomena with wide importance in technology, science and the environment. Over the past fifty years the advent of numerical computations have meant that fundamental questions about waves have proven to be fertile ground for numerical approaches, and additionally rigorous theory, numerical and asymptotic methods have intersected to furnish a vibrant interdisciplinary ground for fundamental research.

This workshop will bring together mathematicians and other scientists working on numerical, asymptotic and rigorous aspects on a variety of free surface flows.

Computerphysik und Numerische Simulation,    Thermodynamik, Hydrodynamik und Statistische Mechanik

Isaac Newton Institute for Mathematical Sciences (INI)

This workshop will include experts on a wide range of emerging tomographic techniques using particles including muon and muon scattering tomography, proton tomography, electron tomography, emission tomography including emission tomography for radiographic dose estimation, Compton scattering tomography and neutron diffraction tomography. Most of these tomographic modalities are non-linear and involve measurement of more than intensities. They thus require sophisticated mathematical techniques for successful imaging and the goal is to match these emerging methods with mathematicians studying integral geometry, non-Abelian tomography, Bayesian inverse problems, regularisation and related areas in an attempt to spur interdisciplinary collaboration.

Angewandte Physik (allgemein),    Angewandte Physik: Neutronenstreuung

Institute of Mathematics at the University of Granada (IMAG)

Soap films and bubbles have fascinated children and scientists for centuries. Mathematically, minimal surface theory -- with roots reaching back to Euler -- has been fundamental in the development of geometric analytic techniques and is presently experiencing extraordinary progress. It stands at the crossroads of several scientific disciplines including geometric analysis, algebraic geometry, dynamical systems, and mathematical physics (string theory, quantum field theories). The workshop will facilitate interactions and foster long-term collaborations between researchers in these areas who are – often unbeknownst – studying similar phenomena from different perspectives while using different techniques.

Isaac Newton Institute for Mathematical Sciences (INI)

In many cases, multiple scattering models and methods are designed with a specific application in mind, typically in engineering or applied sciences. The workshop will bring together researchers applying multiple scattering to solve real-world problems, so as to identify common knowledge gaps and emerging applications. The application areas include among others mechanics and thermal physics, interaction of electromagnetic waves with matter and acoustics. Special focus will be placed on both structured materials and metamaterials for which semi-analytic approach to multiple scattering is pivotal. These kinds of materials allow waves to be manipulated on demand. The main goal of the workshop is bringing together experts working in this field to foster the dissemination and sharing of ideas that could lead to innovative solutions and pave the way for the development of devices for various applications in the broad field of Wave Physics.

Metamaterials; Metasurfaces; Homogenization techniques for periodic structures; Non-reciprocal manipulation of waves; Topological and parity-time symmetric systems. Meta-devices based on transformation acoustics/optics. Disordered and Hyperunifom materials. New physical concepts to exploit waves; New applications of functional devices based on both structured materials and metamaterials for sensing, masking, imaging, absorption, energy recovery, etc.

Association of Nepalese Mathematicians in America (ANMA), Nepal Mathematical Society (NMS), Central Department of Mathematics at Tribhuvan University and Department of Mathematics at Kathmandu University

The conference provides a forum to a diverse group of scientists in applications of mathematics to natural and health sciences, engineering, and finance. Specific areas include, but are not limited to, differential equations, mathematical biology, computational mathematics, statistics, and big data, analysis, topology, number theory, algebra, mathematics education, optimization, operations research, quantitative finance, biomedical science, biophysics, and public health. The conference aims at bringing together research scholars from a variety of disciplines that impact nonlinear analysis and applications in bio- and physical sciences from the southeast Asian countries and around the globe.

Email: aryal@mail.usf.edu

Differential Equations, Mathematical Biology, Computational Mathematics, Statistics, Big Data, Analysis, Topology, Number Theory, Algebra, Mathematics Education, Optimization, Operations Research, Quantitative Finance, Biomedical Science, Biophysics, Public Health,

Statistik, Spieltheorie ,    Infinitesimalrechnung, Differentialgleichungen, Integralrechnung

Academy of Romanian Scientists, Babeș-Bolyai University in Cluj-Napoca, Tiberiu Popoviciu Institute of Numerical Analysis in Cluj-Napoca, Romanian Academy, University of Craiova.

The aim of this conference is to bring together Romanian researchers (from Romania and from abroad) working on various subjects in mathematical analysis and its applications. Foreign participants are also welcome (in this case English will be the language of the corresponding sessions).

Hausdorff Center for Mathematics – hcm (Universität Bonn)

Analysis,    Infinitesimalrechnung, Differentialgleichungen, Integralrechnung

Society for Industrial and Applied Mathematics (SIAM)

Numerische Analysis,    Algorithmen und Datenstrukturen

Society for Industrial and Applied Mathematics (SIAM)

ICERM

MSML2023 is the third edition of a newly established conference, with emphasis on promoting the study of mathematical theory and algorithms of machine learning, as well as applications of machine learning in scientific computing and engineering disciplines. This conference aims to bring together the communities of machine learning, applied mathematics, and computational science and engineering, to exchange ideas and progress in the fast-growing field of scientific machine learning (SciML).

Program Staff;     Tel.: [1-401-863-5030];     Email: programstaff@icerm.brown.edu

The objective of this annual conference series is to promote the study of: Theory and algorithms of machine learning. Applications in scientific and engineering disciplines such as physics, chemistry, material sciences, fluid and solid mechanics, etc. To provide hands-on tutorials for students and new researchers in the field.

American Institute of Mathematics (AIM)

This workshop, sponsored by AIM and the NSF, will be devoted to solving open problems regarding the stability of nonlinear waves using computer assisted methods of proof. Some results using computer assisted methods of proof include Hilbert's 18th problem and Smale's 14th problem. Researchers have developed efficient methods for obtaining rigorous error bounds for numerical approximations of heteroclinic and homoclinic connections between fixed points in ODE systems. These rigorous computation methods establish the existence and uniqueness of the solution in addition to providing a tight, completely rigorous error bound. Thus, these rigorous computations can be used to prove Theorems. Similarly, researchers have developed efficient and robust numerical methods for computing quantities that relay information about the spectral stability of one-dimensional traveling wave solutions to PDEs, which in turn yields information regarding the nonlinear stability. This workshop will help researchers identify collaborative opportunities to use rigorous computation to prove theorems regarding open problems in nonlinear wave theory.

Computer assisted proofs for stability analysis of nonlinear waves. Stability of multi-dimensional non-planar traveling waves. Rigorous computation of center manifolds

Analysis,    Computer-gestütztes Beweisen

Society for Industrial and Applied Mathematics (SIAM)

ICMS - International Centre for Mathematical Sciences

This workshop will focus on developing new statistical solutions to address these new ecological data-driven challenges.

Statistik, Spieltheorie ,    Simulation

ICERM

The field of mathematical and computational biology is rapidly growing. The most applicable computational models have been developed in collaboration between computational and life science researchers. This workshop aims to bring these groups together to facilitate and promote collaborations among them. A mathematical model for one disease might also be useful in modeling another disease. Some researchers are working on theoretical mathematical & statistical problems related to biological and biomedical applications, while others are developing computational methodologies to address fundamental life science knowledge gaps. This workshop fosters and features collaborations among these groups along with experimentalists and physicians. Theoreticians will be exposed to a variety of open biological questions in need of state-of-the-art and efficient mathematical methods. Computational scientists will learn about more robust and efficient methods that could be tailored to answer biological problems.

Program Staff;     Tel.: [1-401-863-5030];     Email: programstaff@icerm.brown.edu

Sorbonne Université

The conference in Paris will be the ninth conference of the Society, following the meeting that gave birth to the idea of FoCM in Park City (1995), and 8 very successful meetings in Rio de Janeiro (1997), Oxford (1999), Minneapolis (2002), Santander (2005), Hong Kong (2008), Budapest (2011), Montevideo (2014) and Barcelona (2017). The conference in Vancouver planned for 2020 was cancelled due to the Covid-19 pandemic. Each of the previous conferences had several hundred participants from all branches of mathematics that impinge on computation in the broadest sense. FoCM conferences are usually organized as follows: mornings are devoted to plenary talks and afternoons to the workshops, which are run in parallel. The conference is divided in three periods of three days, and each workshop is held during one of these periods. The spirit of FoCM is that participants are encouraged to come to the whole duration of the conference, and attend talks in different workshops. Poster sessions are also organized by each workshop.

Email: info@focm2023.org

Banach Center

Analysis,    Infinitesimalrechnung, Differentialgleichungen, Integralrechnung

The 11th International Conference on Isogeometric Analysis (IGA 2023) will be organized in Lyon, France, on 18-21 June 2023. IGA 2023 is a meeting place for scientists focusing on isogeometric methods : researcher developing computational methods, engineers addressing challenging applications, ... The conference is one of the thematic conferences of the European Community on Computational Methods in Applied Sciences (ECCOMAS).

Email: https://iga2023.sciencesconf.org/

Biomath 2023 is devoted to recent research in life sciences based on applications of mathematics as well as mathematics applied to or motivated by biological studies. It is a multidisciplinary meeting forum for researchers who develop and apply mathematical and computational tools to the study of phenomena in the broad fields of biology, ecology, medicine, biophysics, biochemistry, pharmacokinetics, chemoinformatics, biotechnology, bioengineering, environmental science, etc.

Systembiologie und mathematische Biologie,    Genomforschung und Bioinformatik

Society for Industrial and Applied Mathematics (SIAM)

Isaac Newton Institute for Mathematical Sciences (INI)

Dept. of Mathematics, Stockholm University, SWEDEN

Marcus Wallenberg Symposium in memory of SERGEY NABOKO

Mathematische Physik,    Analysis

The main focus of our conference is on (real) analysis and its numerous applications. Our goal is to provide an update on recent results, a discussion forum for future research goals and a starting point for new collaborations in the stimulating and recreational atmosphere provided by the Adriatic coast.

Analysis,    Infinitesimalrechnung, Differentialgleichungen, Integralrechnung

The meeting covers the whole field of Lie Theory in its widest sense together with its applications in many facets of physics. As interface between mathematics and physics the workshop serves as a meeting place for mathematicians and theoretical and mathematical physicists.

Mathematische Physik,    Algebra

Mathematical Sciences Research Institute (MSRI)

The school will provide the mathematical and theoretical computer science toolbox that forms the foundation of market and mechanism design - two of the burning research areas of the 21st century. Market and mechanism design are beautiful examples of how deep mathematical theory can lead to improved design of real-world marketplaces and auctions. We shall consider the algorithmic, complexity, economic and societal aspects of these topics.

ICERM

In Summer 2023, ICERM hosts the second of two summer programs entitled The Social Justice and Data Science Summer Research Program. This program aims to increase interest, research training, and capacity for data science for social justice, and to develop both quantitative and qualitative approaches to those professional practices that call for community engagement, critical inquiry, and interdisciplinary cooperation. Building off of Summer 2022's program, which included a workshop on network science and analysis as well as foundational conversations with community partners, the Summer 2023 program will advance the mathematics community's understanding of the complexity of computational social justice work through three emphasis areas (1) policy, (2) education, and (3) community-driven research. As a new field emerges at the face of computational and applied mathematics and social justice, this requires new methods for working across community lines. In order to address the novel and interdisciplinary problems arising out of community needs, participants will work together to develop new or refine existing computational methods whose applications may be broader than the original problem. The organizers are committed to working with humility and in solidarity with one another and with the local community. The program will include engagement with the local community and invest in the education of the next generation of researchers by driving the development and direction of new computational methods for quantitative social justice research. Researchers with expertise and interests in using mathematical models and/or data science to examine social justice issues in policy and/or education are particularly encouraged to apply. The organizers also seek applications from researchers with specialties in digital humanities, computational social science, and data science education.

Program Staff;     Tel.: [1-401-863-5030];     Email: programstaff@icerm.brown.edu

Wissenschaftliches Rechnen und Datenwissenschaft,    Numerische Analysis

AGH University of Science and Technology

The objective of the Conference is to provide a forum for academics, researchers and engineers to discuss and disseminate recent developments, innovations and advances in numerical methods in material forming and shaping through plastic deformation.

Conference themes include the broad areas of:

- Material behaviour and modelling and its numerical implementation,

- Process modelling (forming, joining, machining, casting, welding/joining, additive manufacturing, etc., of metals, polymers and composites) and its numerical implementation,

- Conventional and novel methods of forming and joining metals, and

- Polymer and composite processing.

Event Secretariat;     Email: numiform2023@agh.edu.pl

forming, simulation, process modelling, materials, polymers, composites, numerical methods, deformation

Banff International Research Station (BIRS) / UBCO

Recent remarkable advances in learning-based methods are revolutionizing the field of image analysis resulting in a paradigm shift towards data-driven approaches. These methods have already shown tremendous success in a wide range of applications from computer vision such as object detection and object category classifications. To perform efficiently, such methods typically require a large number of training sample and this requirement is highly impractical or impossible in applications from medical imaging where it is very laborious and expensive to generate labeled data. Another drawback of learning-based method is that they do not come with provable performance guarantees. One remedy to such limitations is to combine data-driven methods with prior knowledge through mathematical and/or physical models in such a way to optimize processing, reconstruction and analysis of medical imaging data without the need of extensive training. This workshop will bring together researchers with a different background ranging from optimization, inverse problem, numerical and harmonic analysis and machine learning to advance state-of-the-art methods combining data- and model-driven approaches for medical imaging. To create a more engaging and productive environment, participants are selected from a diverse pool of researchers from multiple institutions, geographic regions, ethnic background and at different career levels.

Bioinformatics and computational biology; Coding and data compression; Combinatorics on words; Data mining; Information retrieval; Natural language processing; Pattern discovery; String algorithms; String processing in databases; Symbolic computing; Text searching and indexing

ICMS - International Centre for Mathematical Sciences

The International Conference on Stochastic Analysis and Applications (ICSAA) is a biannual on Stochastic Analysis. The first edition of this conference series was held in Washington in 2006, for past editions of ICSAA see https://www.math.uni-bielefeld.de/icsaa/#history. It is in the scope of the conference to embrace a wide breadth of topics in stochastic analysis and interplaying mathematical disciplines.

ICERM

The mathematical and computational toolbox for modern experimental and engineering problems has become more diverse than ever before, with a flurry of new challenges in inverse problems and successful practical solutions that present further theoretical questions. In the spirit of the 2012 “Challenges in Geometry, Analysis, and Computation: High-Dimensional Synthesis” workshop at Yale, the “Modern Applied and Computational Analysis” workshop will be a celebration of different perspectives on inverse problems, models, inference, and harmonic analysis and a debate about the challenges and opportunities in the next decade of applied analysis. The topics include inverse problems, randomized linear algebra, machine learning in applied analysis, and tensor networks.

Program Staff;     Tel.: [1-401-863-5030];     Email: info@icerm.brown.edu

The workshop is coorganized by: Łódź University of Technology, The South African Research Chairs Initiative in Mathematical Models and Methods in Bioengineering and Biosciences, University of Pretoria, University of Rzeszów, University of Wrocław

The workshop will focus on the theory of differential equations and their applications to natural, health and social sciences, as well as engineering. We aim to bring together participants of the internet seminar organized since 2020 by the Institute of Mathematics of the Łódź University of Technology, as well as other interested researchers, for the first face-to-face meeting since the Covid-19 pandemic. We plan to provide a platform to continue the discussions, address questions and problems that arose online, communicate the latest results in the theory of differential equations, and exchange ideas between different research centres. We hope to finalize research projects initiated at the seminars and establish long-lasting collaborations to work on new projects. We envisage significant participation of postgraduate students and emerging researchers who will benefit from plenary and invited lectures of leading scientists in the field and will be able to present their research in the form of contributed talks and poster presentations

National and Kapodistrian University of Athens (NKUA) and Littoral Côte d’Opale (ULCO) University in France.

The aim of this conference is to bring together researchers working in numerical analysis, scientific computation and applications. Participants will present and discuss their latest results in this area.

LMPA, ULCO, 50 rue F. Buisson, Calais France;     Tel.: [0626622981];     Email: jbilou@univ-littoral.fr

Numerical and Multilinear Algebra, Maching Learning, Optimization, Numerical Methods and Analysis of PDEs, Approximation, Domain Decomposition methods, Inverse and Ill-posed problems for image processing, Computational Statistics.

Numerische Analysis,    Wissenschaftliches Rechnen und Datenwissenschaft

Isaac Newton Institute for Mathematical Sciences (INI)

This workshop will bring together researchers from biophysics/mechanobiology experiment, soft active matter theory and non-equilibrium statistical mechanics. There will be a mixture of pedagogical overview talks and research talks. The meeting aims to bring together mathematicians and statistical physicists specializing in the fundamental properties of fluctuations and response in nonequilibrium states with theoretical researchers in soft matter working on active matter and biological physics and experimental researchers in biology and biophysics. We expect to enable new collaborations and cross-fertilization of ideas. In short, we expect that understanding the living world will provide challenges that will stimulate new fundamental thinking in statistical physics while current research in this field will help to structure our ever-expanding knowledge of living matter as a nonequilibrium dynamical system.

Centre de recherches mathématiques (CRM)

A two-week summer school in the summer 2023 that addresses the description/characterization/analysis and modeling of complex and/or scale-free temporal/spatial dynamics in functions, processes, images and fields..., under the light of several scientific fields, ranging from theoretical and methodological developments to real-world applications. The program will start from harmonic and fractal analysis as developed by mathematicians and will progressively introduce a variety of real-world applications (very different in nature, yet with a focus on neurosciences and neurophysiology towards the end of the workshop) via statistical signal and image processing and computer sciences.

 Department of Actuarial Mathematics and Statistics at HWU

The 26th International Congress on Insurance: Mathematics and Economics (IME 2023) will take place on 4th – 7th July 2023, hosted by the Department of Actuarial Mathematics and Statistics at Heriot-Watt University (HWU), in association with the journal Insurance: Mathematics and Economics. The conference will take place at the Edinburgh Conference Centre at HWU’s Edinburgh campus. We are proud to have been given the opportunity to host the first in-person IME congress since Munich in 2019 and we look forward to welcoming you all in Summer 2023!

Climate Risk and Sustainability  • Cyber Risk  • Data Science  • Finance  • Insurance Technology  • Life  • Non-Life  • Pandemic Risk  • Pension and Retirement  • Quantitative Risk Management 

Statistik, Spieltheorie ,    Finanz und Wirtschaftswissenschaft

The Fields Institute

This workshop will showcase advances related to the Fields thematic program on geometric constraint systems, framework rigidity and distance geometry. Particular topics of interest include the geometric and combinatorial rigidity and global rigidity of structures, distance geometry and semidefinite programming and applications, for example in soft matter physics and in protein conformation determination.

Promoting research collaboration in mathematical sciences to address emerging challenges in health, agriculture, climate change and big data.

The conference aims to bring together leading experts and researchers in fixed point theory and to assess new developments, ideas, and methods in this important and dynamic field. A special emphasis will be put on applications in related areas and other sciences, such as the natural sciences, medicine, economics, and engineering.

Banff International Research Station (BIRS) / UBCO

This workshop will study this question for systems of geometric origin. One example of this is a particle bouncing inside a region -- think of a ball bouncing around a billiard table, or a light beam bouncing around a room whose walls are mirrors. If the walls are flat then the behavior is fairly predictable, but if they are curved then one often observes random-looking behavior in the long run. Or imagine walking in a straight line along a surface; if the surface is flat then changing the starting point a little will lead to a predictable change in the trajectory. However, if the surface is curved like a saddle then different trajectories will spread out and your location after walking for a long time will eventually seem to be random. The task of giving precise descriptions of systems such as these requires a more complete development of the theory of thermodynamic formalism for systems of geometric origin, which is precisely the goal of this workshop.

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Society of Industrial and Applied Mathematics

The ICFCA conference series is the major biannual event of the Formal Concept Analysis research community. The 17th International Conference on Formal Concept Analysis, ICFCA 2023, aims to bring together researchers and practitioners working on both theoretical and practical aspects of Formal Concept Analysis, as well as its applications in various application fields like data mining, machine learning, software engineering, semantic web, social and environmental sciences.

ICMS - International Centre for Mathematical Sciences

Institute for Advanced Study in Mathematics (IASM) in Hangzhou, China

A common intuition in dynamical systems is that systems with low complexity should have some sort of structure, while systems with high complexity should exhibit more randomness. We explore this notion in various settings, particularly focussing on recent developments in ergodic theory and symbolic dynamics that are related to combinatorial, number theoretic, and algebraic problems. Fine properties of sequences of numbers can be studied via dynamics, relating the complexity of the sequence to hidden structures it contains. The proposed meeting will cover such recent developments, bringing together mathematicians from a variety of fields, including ergodic theory, symbolic dynamics, number theory, and group theory to discuss on long-standing open problems that have implications for these fields.

The XII. International Symposium on Quantum Theory and Symmetries (QTS12) will be held at Czech Technical University in Prague, Czech Republic, from Monday July 24 until Friday July 28, 2023. The Symposium series “Quantum Theory and Symmetries” (QTS) is a biannual meeting intended for physicists and mathematicians who are either applying symmetries to some physical model, or are studying mathematical objects that are relevant for physical applications.

Mathematische Physik,    Quantenmechanik und Quanteninformation

Isaac Newton Institute for Mathematical Sciences (INI)

The "Complex analysis: techniques, applications and computations" (CAT) programme of 2019 brought together participants from diverse geographical and scientific communities to develop and apply complex analysis to a host of problems from areas including pure and applied mathematics, physics, engineering, and medicine. The Follow-On workshop is an opportunity to consolidate the achievements of the CAT programme and enhance its impact. Its first main goal will be to assess the progress that has taken place in the key thematic areas of the programme. The second main goal will be to formulate new open problems for the community to address in subsequent years. Finally, the workshop will also provide an opportunity to establish new collaborations. The workshop will mirror the structure of the original thematic programme and will cover the following three main overlapping areas: (1) Techniques of complex analysis, including, but not limited to, connections with classical, harmonic and asymptotic analysis, new transform methods, advances in the Wiener–Hopf and Riemann–Hilbert problems; (2) Applications of complex analysis, highlighting connections with diverse areas of modern physics and applied sciences as well as engineering; and n(3) computational complex analysis, including a range of topics bridging mathematical foundations of various numerical techniques and their software implementations.

ICERM

Solving systems of nonlinear equations and optimization problems are pervasive issues throughout the mathematical sciences with applications in many areas. Acceleration and extrapolation methods have emerged as a key technology to solve these problems efficiently and robustly. The simple underlying idea of these methods is to recombine previous approximations in a sequence to determine the next term or approximation. This approach has been applied repeatedly and from different angles to numerous problems over the last several decades. Important methods including epsilon algorithms and Anderson acceleration were introduced throughout the early and mid-20th century, and are now common in many applied fields including optimization, machine learning, computational chemistry, materials, and climate sciences. Within the last decade, theoretical advances on convergence, acceleration mechanisms, and the development of unified frameworks to understand these methods have come to light, yet our understanding remains incomplete. Fascinating links exist with methods such as Nesterov acceleration and other momentum-based approaches that have been developed in the fields of optimization and machine learning in the past decades. These links and connections with dynamical systems appear to be promising directions for further insight that remain largely unexplored. The goals of this workshop include assessing the state of the art and exploring connections between closely related methods that may have been independently developed; connecting theory to practice by fostering interaction between theorists and applied practitioners; and, encouraging new and continuing collaborations between participants.

Program Staff;     Tel.: [1-401-863-5030];     Email: programstaff@icerm.brown.edu

The International Association for Mathematical Geosciences is a international scientific multidisciplinary society with about 700 – 800 members in over 65 countries. The mission of the IAMG is to promote worldwide the advancement of mathematics, statistics and informatics in the geosciences.

Mining geostatistics and geometallurgy, Meshing, Machine learning, Non-linear regression, Optimization, Petroleum geostatistics, Tectonics, Uncertainty modelling, Geochemistry, Flow in porous media, Resource potential estimation and prospectivity mapping, CODA, Geodynamics, Analysis of spatio-temporal data, 3D (geometric) modelling, Computational petrology, Geophysics and inversion, Geologic forward modeling

Simulation,    Geophysik und Geologie

Banff International Research Station (BIRS) / UBCO

Minimal surfaces have inspired scientists and mathematicians for centuries and remain a central area of study with a vast number of pure and applied research outputs relating directly to their study. From art and architecture, to fluid dynamics and general relativity, they have an impressive list of applications. The main reason that they remain so popular amongst mathematicians is the fact that they are mysterious, beautiful, and lead to the resolution of challenging and abstract problems, not necessarily in obviously related fields. They can be created in the home by dunking a metal hoop into soapy water - the resulting soap film is a minimal surface (no matter how you bend the hoop). Equally they are integral to, for example, certain proofs of the positive mass theorem from general relativity. A surface is minimal if it is locally stretched tight, so that if you were to focus on a small region of the surface, any perturbation of that small region will increase surface area. In abstract terms, minimal surfaces are critical "points'' of the energy - in this case the energy of a surface is given by its area.

A large quantity of physical phenomena admit such a description - they are critical with respect to some energy, or in other words ``nature always tries to optimise energy''. For example the shape of cell membranes, event horizons of black holes and the behaviour of fundamental particles all fit within this regime. This workshop brings together young and experienced researchers in the mathematical/theoretical study of these problems. It mainly utilises the theory of differential geometry and partial differential equations, or broadly Geometric Analysis. This field has enjoyed popular notoriety in recent years with one of the modern progenitors of the subject, Karen Uhlenbeck, being awarded the Abel Prize. Similarly Perelman's proof of the Poincare conjecture, a question that took 100 years (and many contributors) to answer fully, for which Perelman famously turned down the $1,000,000 award.

Institute for Advanced Study in Mathematics (IASM) in Hangzhou, China

This is a 5-day workshop with about 42 participants. It will focus on the study of the theoretical partial differential equations and application in fluid dynamics, emphasizing the study on the structure of solutions and their large-time behavior to Navier-Stokes equations, Euler equations, Boltzmann equations, and so on. The conference will serve as a platform to report new breakthroughs, exchange research ideas, extend academic networks, and promote diversity and inclusion in this research field. New collaborations are also expected during and after the meeting. Topnotch speakers and talks will be carefully selected to make the conference attractive to a diverse audience.

Infinitesimalrechnung, Differentialgleichungen, Integralrechnung,    Computerphysik und Numerische Simulation

Isaac Newton Institute for Mathematical Sciences (INI)

Modelling collective group movement in animal ecology and cell biology has, over the years, followed two relatively parallel modelling paths. Most prevalent for the former are what one might define as discrete level models, whereby computational constructs are used to keep track of the spatio-temporal dynamics of each individual in a group. Problems in the latter, cell biology, have been tackled mostly by continuous models whereby the details of the individuals are neglected, in favour of a description of the entire population through, e.g. a density function. However, more recently hybrid agent-based/population models have gained increasing usage.

As the overall aim of the workshop is to create an overarching modelling framework with which to interpret common empirical features, the exchange of ideas and techniques from the different communities is an invaluable opportunity to move forward and at the same to delineate the boundaries of applicability of the different approaches in collective movement research.

Simulation,    Systembiologie und mathematische Biologie

The Fields Institute

This workshop will showcase advances related to the Fields thematic program on geometric constraint systems, framework rigidity and distance geometry. Particular topics of interest include matrix and tensor product completions, kinematics and flexibility, polynomial constraint systems, structured polynomials including sums of squares, matrix factorizations, Euclidean distance minimization and maximum likelihood estimation.

Mathematics and Computation Division of the American Nuclear Society

The International Conference on Mathematics and Computational Methods Applied to Nuclear Science and Engineering (M&C 2023) is a part of a series of topical meetings organised by the Mathematics and Computation Division of the American Nuclear Society. The M&C conferences, held every two years, represent a series of international forums organised and sponsored to bring together worldwide expertise related to nuclear science or technology including mathematical and computational methods, numerical analysis, computer codes, computer architectures, and benchmarks for computationally solving problems in all disciplines encompassed by the Society.

Kernenergie,    Computerphysik und Numerische Simulation

AMMCS-2023 is a major international forum and interdisciplinary conference focused on mathematical and computational sciences, with their applications to modeling natural, social, and engineering systems.

The conference provides a unique opportunity for in-depth technical discussions and exchange of ideas in all areas involving mathematical and computational sciences, modeling and simulation, as well as their applications in natural and social sciences, engineering and technology, industry and finance. It offers to researchers, industrialists, engineers and students to present their latest research, to interact with the experts in the field, and to foster interdisciplinary collaborations required to meet the challenges of modern science, technology, and society.

Waseda University, Tokyo

Centre de recherches mathématiques (CRM) and the Institute for Data Valorization (IVADO)

The Centre de recherches mathématiques (CRM) and the Institute for Data Valorization (IVADO) are pleased to announce that they will hold an in-person workshop in Montreal on August 21-25, 2023. The participants (company representatives, professors, and students) will gather in teams, each of which addressing a problem submitted by a company. The workshop will allow academic researchers to study real-world problems and companies to benefit from expertise in the mathematical sciences (including data science, optimization, financial mathematics, natural language processing, and so on). This kind of workshop is an incubator of collaborations between universities and companies and the workshop organizers expect that these collaborations will continue after the workshop. Industrial problem solving workshops (called "study groups" in other parts of the world) were first designed by British researchers more than 50 years ago before spreading to many countries, for instance Canada, France, other European countries, and Asia and Australasia.

GSI’23 will bring together pure/applied mathematicians and engineers, with common interest for Geometric tools and their applications for Information analysis

Dynamics Days Europe is a series of major international conferences founded in the 1980's that provides a European forum for developments in the theory and applications of dynamics. For more than 40 years, it has been bringing together researchers from a wide range of backgrounds including physics, mathematics, biology, and engineering for interdisciplinary research in nonlinear science. Topics of interest include: Astrophysics, Asymptotics, Bifurcation Theory, Biophysics, Chaos, Chemical dynamics, Complex systems and Networks, Computational Methods, Control systems, Crowd Dynamics and Mobility, Earthquake engineering, Econophysics, Environmental dynamics and Ecology, Epidemics, Financial systems, Fluid and Solid Mechanics, Machine and Deep Learning, Materials Science, Mathematical Physics, Multiscale Dynamics, Multi-physics, Neurodynamics, Numerical Analysis, Pattern Formation, Reduced-order Modelling, Robotic dynamics, Self-organized systems, Scientific Computing, Soft Matter, Social dynamics and networks, Statistical Physics, Stochastic Systems, Time Series Analysis, Traffic dynamics, Turbulence.

Isaac Newton Institute for Mathematical Sciences (INI)

Simulation,    Systembiologie und mathematische Biologie

Institute of Mathematics & its Applications (IMA)

There is a growing trend, and demand, for scientific and evidence-based decision-making supporting defence and security at the heart of government and industry. Mathematics is fundamental to these two domains, providing a framework for understanding and solving the varied and complex problems faced, and to model systems and scenarios. As mathematicians we are in an ideal position to be at the forefront of this requirement and are able to take a step back and assimilate everything into a common language. One of the biggest challenges for mathematicians is the ubiquity of the discipline – that the same maths can be used to solve multiple problems. This means that it may not be immediately obvious to know what branch of mathematics is best suited to addressing a particular problem and it’s not always straightforward to find a forum where you can get feedback on the different mathematical techniques that could be applied. This conference aims to bring together a wide variety of participants and topics applying a variety of mathematical methods with defence and security applications.

ICMS - International Centre for Mathematical Sciences

The aim of this workshop is to bring together experts from different communities to cover the investigation of diffusive systems from several viewpoints: analytically, combining methods and techniques from Partial Differential Equations (PDEs) and dynamical systems to derive and analyse mathematical models for the applied phenomena; numerically, reviewing the most recent techniques and software for the computation of bifurcation diagrams and continuation with respect to the systems’ parameters; and, last but not least, from the applied — in particular biological — viewpoint: a constant exchange of knowledge between the theoretical investigations and the experimental data is in fact crucial in order to advance the research in this area. Our speakers will illustrate the most recent advancements in these fields, and foster the creation of new research directions with a concluding description of three open research questions aimed at colleagues working in fields different from their own. This will allow researchers with different backgrounds to learn ultimate techniques, connect with experts from various areas, and collaborate with fellow participants to produce new, cutting-edge research.

Analysis,    Infinitesimalrechnung, Differentialgleichungen, Integralrechnung

Isaac Newton Institute for Mathematical Sciences (INI)

The study of interactions among living entities covers broad scientific domains, ranging from molecules and cells through individual organisms and groups to species, populations and communities. Common to all domains is the need to quantify the presumed interactions at the relevant spatial and temporal scales. While no formal theory exists in the literature, there exist different approaches that aim to construct a mechanistic representation of how individuals interact with each other as well as how to measure such interactions, but in most cases such approaches are specific to the problem at hand. The common factor among the existing approaches is their intention to represent the sequential nature of how organisms interact, first acquiring information from their surroundings, then processing that information and subsequently selecting a movement response.

By cross-fertilising different ideas and techniques in animal ecology and cell biology we aim to gain a more realistic perspective on measurement and representation of organism interactions, revisiting existing concepts, and permitting new discoveries and insights.

Simulation,    Systembiologie und mathematische Biologie

CAIM series provide a forum for the review of the recent trends in applied and industrial mathematics either from a qualitative or from a numerical point of view. Since theoretical studies find sooner or later their applicability, the conference has also sections for the theoretical branches of mathematics like algebra or geometry. Computer science communications are welcome.

A special section of the conference is dedicated to the mathematical teaching.

Algebra,    Didaktik in der Wissenschaft

CIRM – Centre International de Rencontres Mathématiques

Isaac Newton Institute for Mathematical Sciences (INI)

Simulation,    Systembiologie und mathematische Biologie

Centre de recherches mathématiques (CRM)

While brain function originates in neuron, its energy is supported by the vascular system. With the recent development of anatomically detailed synthetic network models of the entire cerebral circulation, it is now possible to perform detailed simulations of physiology in realistic brains of small animals and humans on the computer. Modeling microcirculatory blood flow as a biphasic suspension of red-blood-cell and plasma, blood pressure, flow and hematocrit can be simulated in whole brains on the computer. Combining Poiseuille’s hemodynamic simulations with advection/diffusion equations describing oxygen diffusion, the human brain metabolism can now be modeled in-silico, by integrating tissue oxygen consumption and differential equations describing compartments associated with neural and glial brain cells. In parallel, energy metabolism regulation in the brain and its modeling has greatly progressed over the past few decades. This workshop will thus be focused on digital human brains, and their use to predict critical metabolic functions namely blood flow, oxygen extraction and cellular metabolism across all length scales down to the level of individual capillaries and cells. Courses and conferences will be combined with research presentations and practical workshops.

Simulation,    Systembiologie und mathematische Biologie

Isaac Newton Institute for Mathematical Sciences (INI)

The purpose of this workshop is to bring together scientists interested in different areas of complex movement in a biological context, from field research, to data analysis, to theoretical modelling. In particular, the focus will be on complex movement beyond the Markov property, such as memory-dependent animal foraging processes, spatial avoidance due to past deposition of animal scent or resource depletion, and directed motion in neutrophils. Despite its ubiquity, the mathematical difficulty in dealing with history dependence has hampered the study of non-Markov movement processes. Past empirical limitations are also responsible for the lack of a general theory to describe history dependent movement processes, as detection of features that would distinguish between Markov and non-Markov model predictions were not attainable. Currently, movement data may reach unprecedented resolution, and there is a renewed interest in developing non-Markov movement models, exemplified by recent theoretical studies to devise general prescriptions to simulate non-Markov stochastic processes.

Simulation,    Systembiologie und mathematische Biologie

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics) and Institute of Mathematics of the Polish Academy of Sciences

Many physical, chemical, biomedical, and techni- cal processes can be described by means of partial differential equations or dynamical systems. In recent years, multi-physics and multi-scale prob- lems have become a particular focus of applied mathematical research. A numerical treatment of such problems is usually very time consuming and thus requires the development of efficient discret- ization schemes that are often realized on large parallel computing environments. In addition, these problems often need to be solved repeatedly for many varying parameters, introducing a curse of dimensionality when the solution is also viewed as a function of these parameters. Examples for such situations include design, control, optimiza- tion, inverse problems, uncertainty analysis and statistical sampling.

The seminar takes place at the Mathematical Re- search and Conference Center of the Institute of Mathematics of the Polish Academy of Sciences in Będlewo.

Analysis,    Infinitesimalrechnung, Differentialgleichungen, Integralrechnung

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics) and Institute of Mathematics of the Polish Academy of Sciences

Optimal transport theory is a very successful field of mathematics connecting calculus of variations, probability theory, differential geometry, partial differential equations, functional analysis, statis- tics and computer sciences. Going back to Monge around 1780, this theory has deep connections with the earlier work of Euler on Hydrodynamics around 1750. This connection has recently known a strong revival on many different sides, leading to various non trivial generalizations of the con- cept of optimal transport.

The seminar takes place at the Mathematical Re- search and Conference Center of the Institute of Mathematics of the Polish Academy of Sciences in Będlewo.

Analysis,    Infinitesimalrechnung, Differentialgleichungen, Integralrechnung

Banach Center

Institute for Advanced Study in Mathematics (IASM) in Hangzhou, China

Vortex dynamics is at the heart of many unresolved problems in fluid mechanics and is also central to numerous applications in science and engineering. The goal of the proposed meeting is to survey the recent progress in this field focusing on applied mathematics aspects of both classical and emerging problems. We are planning to bring together about 40 researchers at different career stages working on various aspects of vortex dynamics, spanning applied mathematical analysis, scientific computing, physical modeling as well as scientific and engineering applications. A highlight of the workshop will be events designed to foster cross-fertilization between applied mathematics and different application areas.

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Optik und Laser,    Computerphysik und Numerische Simulation

ICMS - International Centre for Mathematical Sciences

This workshop will gather researchers from the intersecting fields of inverse problems, uncertainty quantification, data analytics, machine learning, and related areas to discuss novel theory and new methods for big data challenges. A focused multifaceted research group gathered at one location is an excellent opportunity for established and early career researchers. The aim of this workshop is to foster a diverse, open, and friendly environment to advance this field, open new directions, and to stimulate new collaboration.

Informations & Wissensmanagement, Big Data Computing,    Wissenschaftliches Rechnen und Datenwissenschaft

Mathematisches Forschungsinstitut Oberwolfach (MFO, Oberwolfach Research Institute for Mathematics)

Society for Industrial and Applied Mathematics (SIAM)

The SIAM Annual Meeting provides a broad view of the state of the art in applied mathematics, computational science, and their applications through invited presentations, prize lectures, minitutorials, minisymposia, contributed presentations and posters.

Society for Industrial and Applied Mathematics (SIAM)