Conférences  >  Mathématiques  >  Mathématiques appliquées (en général)

The goal of this long program proposal is to bring together senior and junior applied mathematicians, physicists, chemists, materials scientists, engineers and biologists to discuss and debate on the current status and future perspectives of modern microscopy using computation, mathematics and modeling. Cryo-EM has revolutionized biology and life science (including very recently solving the 3D atomic structure of COVID-19, which has been greatly facilitating the development of the vaccines) and aberration-corrected electron optics and high brightness X-ray sources have transformed physical science imaging. The next steps in these fields will advance by orders of magnitude the temporal resolution and energy resolution, while maintaining atomic spatial resolution, in a variety of sample environments from near zero Kelvin in vacuum to temperatures of a thousand degrees in a highly corrosive atmosphere. These advances will transform research in macromolecules, materials, energy technologie

Microscopie,    Calcul scientifique et science des données

University Constantine1: UFMC-1 / Algeria

The First International Workshop on Applied Mathematics IWAM'2022 is one of the important activities of department of mathematics in the university ''FMC 1''. Its main goal is to promote the exchange and dissemination of the latest research advances in Mathematics developed by researchers from Algeria and abroad. In this 1st edition of the IWAM'2022, lectures in different areas of Mathematics will be offered, including Mathematical modelling of the pandemic of 2019 novel coronavirus (COVID-19), modelling in biology, medicine, chemistry, physics, Bioinformatics, Mathematical biology, Algebra, Numerical Analysis, Functional Analysis, Dynamics and Lie Theory, Geometry, Mathematics Education, Mechanics, Number Theory, Probability and Theory of Computation, programming languages, matrices to compiled languages. Maple, C et C++, MATLAB®, Java, JavaScript, Logiciel R, Python, R, Visual Basic, and Fortran. Statistical software (SAS, SPSS, Excel, R ). The conference provides participants with diverse perspectives on recent developments in mathematical science research. The event will be totally in the campus 'A. Hamani', UFMC 1, Department of mathematics.The objective of this event is to bring together researchers and professionals working on applied mathematics themes in order to share their experiences and results and enrich the debate.

iwam2022@gmail.com;     Tél.: [00213699703088];     Email.: iwam2022@gmail.com

Mathematical Biology, Mathematical Mechanics, Mathematical Modelling, Mathematical Physics, Operation Research, Applied Algebra, Applied Analysis, Applied Topology, Computer Mathematics, Control Theory, Cryptography, Decision Science, Differential Equations, MATLAB, Java, JavaScript, Logiciel R, Python, R, Numerical Analysis, Functional Analysis, Dynamics and Lie Theory, Geometry, Mathematics Education, Mechanics, Probability, Statistics, Mathematics of Finance, Exponents and Logarithms, Mathematics of Finance, Computers.

Institute of Mathematical Statistics (IMS)

The first 2022 IMS ICSDS will be a four-day conference to be held in Florence, Italy in December 2022. Its objective is to bring together researchers in statistics and data science from academia, industry and government in a stimulating environment to exchange ideas on the developments of modern statistics, machine learning theory, methods and applications in data science. The conference will consist of several plenary sessions, and about 50 invited, contributed and poster sessions; with a portion of invited sessions designated for young researchers. The expected size of the conference is 300-400 participants. The conference will present topics with broad appeal, including: deep learning, causal inference, precision medicine, unsupervised, semi-supervised and supervised learning, nonparametrics, Bayesian statistics, environment statistics, network and graphic models, recommender systems, bioinformatics, high-dimensional data, functional data, genomics, drug discovery, statistics computations, imaging, intrusion and fraud detection, etc.

Department of Mathematics, Manipal Institute of Technology, Manipal Academy of Higher Education, Manipal

The aim of this international conference is to highlight the recent developments from modern algebra, analysis and demonstrate their applications in various domains. Indeed, it is encouraging to note that computer algebra has evolved as a discipline linking advanced analysis to the methods of various disciplines and thus offering many tools. The conference will focus on research areas such as Algebraic structures, Finite fields and applications, Discrete Mathematics, Functional analysis, Complex Analysis, Operator Theory, and related topics with recent developments in these areas. The event will provide an ideal platform for the faculty, research scholars, and the students in the various disciplines of science and engineering to reinforce their knowledge. The participants of this international conference will also be benefited from recent applications of modern algebra, analysis, and related topics.

The Research Institute for Mathematical Sciences (RIMS)

Analyse,    Reconnaissance de formes et traitement d'image, vision par ordinateur

Society for Industrial and Applied Mathematics (SIAM)

The aim of ALENEX is to provide a forum for the presentation of original research in the design, implementation, and experimental evaluation of algorithms and data structures. Typical submissions will include an extensive experimental analysis of nontrivial algorithmic results, ideally bridging the gap between theory and practice. We also invite submissions that address methodological issues and standards in the experimental evaluation of algorithms and data structures.

Relevant areas of applied algorithmic research include but are not limited to databases; geometry; graphs and networks, including web applications; operations research; combinatorial aspects of scientific computing; and computational problems in the natural sciences or engineering.

SODA is sponsored by the SIAM Activity Group on Discrete Mathematics and the ACM Special Interest Group on Algorithms and Computation Theory.

The scope includes theoretical analysis, as well as experimental validation, and the mathematical problems related to their development or limitations. The scope also includes aspects of combinatorics and discrete mathematics related to discrete algorithms. Papers that raise important algorithmic problems that can benefit from theoretical investigation and analysis, are encouraged.

Society for Industrial and Applied Mathematics (SIAM)

Symposium on Simplicity in Algorithms is a conference in theoretical computer science dedicated to advancing algorithms research by promoting simplicity and elegance in the design and analysis of algorithms. The benefits of simplicity are manifold: simpler algorithms manifest a better understanding of the problem at hand; they are more likely to be implemented and trusted by practitioners; they can serve as benchmarks, as an initialization step, or as the basis for a “state of the art'' algorithm; they are more easily taught and are more likely to be included in algorithms textbooks; and they attract a broader set of researchers to difficult algorithmic problems.

Algorithmes et structures de données,    Théorie de l'information, fondations de l'informatique

Institute for Pure and Applied Mathematics (IPAM)

For molecular systems we know the laws of physics to extreme precision. Yet, our ability to compute properties of these systems to numerical precision is very limited. This is mainly due to two sources of computational intractability: quantum mechanics and chaos. On one side, the accurate solution of the Schrödinger equation for large molecular systems is computationally prohibited. One the other side, even if we knew the forces exactly, the dynamical equations for the atoms would exhibit chaotic behaviour, which implies that, just as the weather, we have limited capacity to predict future trajectories. Some aspects of these systems remain predictable at a macroscopic scale, but they require completely different variables, such as pressure, temperature and entropy. We call this emergent theory thermodynamics.

In the completely different discipline of machine learning, a fairly similar phenomenon takes place. The microscopic variables of an image are given by its constituent pixel values. When we analyse the image with a deep neural network (DNN), we will detect edges in the first layer, corners in the next layer, then the object parts and finally, at the top of the neural network, entire objects. We understand the world at the “emergent” level of objects and their relations, not at the level of pixels and edges. In deep learning (DL) emergence happens automatically through learning and some inductive biases such as symmetries.

A major question we want to address in this workshop is whether we can apply the same learning paradigm to the field of molecular science to learn the correct emergent variables and dynamics.

Réseaux de neurones et intelligence artificielle, apprentissage automatique,    Simulation

Society for Industrial and Applied Mathematics (SIAM)

The Symposium on Algorithmic Principles of Computer Systems (APOCS) serves as a venue for algorithm papers that are strongly motivated by systems, and systems papers with provable algorithmic guarantees. Contributed papers are sought in all areas of algorithms and architectures that offer insight into the performance and design of computer systems.

Algorithmes et structures de données,    Génie logiciel

Isaac Newton Institute for Mathematical Sciences (INI)

A large collection of inverse problems involve using waves scattered or emitted from an object to image its interior or to determine some of its material properties. Applications including radar and microwave imaging, astronomy, sonar, ultrasound, and geophysics, may share many characteristics. These applications also cover a spectrum of problems and length scales from low to high frequency, near to far field, static to highly dynamic, and from imaging discrete isolated objects to the interior of a continuously varying medium. Through this spectrum, different computational and theoretical challenges in inverse problems will arise – and understanding the transition through regimes can also provide new insights in and of itself.

This workshop will put a spotlight on the mathematical similarities of Rich and Non-linear Tomography across these applications in order to catalyse rapid development of new tomographic methods. As part of a highly interdisciplinary programme, the aim is for real-world problems in these applications to motivate a breadth of theoretical and practical mathematical research challenges – from microlocal analysis through to Bayesian methods. It will also help to break down communication barriers between disciplines and applications.

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.

Sciences économiques, Entreprise et Marketing,    Finance et sciences économiques

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.

Génomique et bio-informatique,    Réseaux complexes

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

Géométrie et topologie,    Algèbre

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.

Géométrie et topologie,    Mathématiques numériques

Society for Industrial and Applied Mathematics (SIAM)

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.

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

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

Astronomie, astrophysique et cosmologie,    Physique mathématique

The Research Institute for Mathematical Sciences (RIMS)

Simulation,    Thermodynamique, dynamique des fluides et physique statistique

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)

Calcul infinitésimal, équations différentielles et intégrales,    Analyse

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.

Calcul infinitésimal, équations différentielles et intégrales,    Physique de la matière condensée et des matériaux

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.

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

Physique appliquée (en general),    Physique numérique

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.

Statistique, Théorie des jeux,    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.

Physique numérique,    Thermodynamique, dynamique des fluides et physique statistique

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.

Physique appliquée (en general),    Physique appliquée: Diffraction de neutrons

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,

Statistique, Théorie des jeux,    Calcul infinitésimal, équations différentielles et intégrales

Society for Industrial and Applied Mathematics (SIAM)

Mathématiques numériques,    Algorithmes et structures de données

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;     Tél.: [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

Analyse,    Démonstration automatique de théorèmes

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.

Statistique, Théorie des jeux,    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;     Tél.: [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

Analyse,    Calcul infinitésimal, équations différentielles et intégrales

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/

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

Physique mathématique,    Analyse

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.

Physique mathématique,    Algèbre

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

Calcul scientifique et science des données,    Mathématiques numériques

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.

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;     Tél.: [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;     Tél.: [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.

Mathématiques numériques,    Calcul scientifique et science des données

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.

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.

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)

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.

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

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.

Calcul infinitésimal, équations différentielles et intégrales,    Physique numérique

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,    Biologie des systèmes

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.

Energie nucléaire,    Physique numérique

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

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

Isaac Newton Institute for Mathematical Sciences (INI)

Simulation,    Biologie des systèmes

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.

Analyse,    Calcul infinitésimal, équations différentielles et intégrales

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,    Biologie des systèmes

Isaac Newton Institute for Mathematical Sciences (INI)

Simulation,    Biologie des systèmes

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,    Biologie des systèmes

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.

Analyse,    Calcul infinitésimal, équations différentielles et intégrales

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.

Analyse,    Calcul infinitésimal, équations différentielles et intégrales

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)

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.

Gestion des connaissances, Big Data Computing,    Calcul scientifique et science des données

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)