Conferences  >  Mathematics  >  Modeling and Simulation

The Research Institute for Mathematical Sciences (RIMS)

Thermodynamics, Fluid Dynamics and Statistical Physics,    Applied Mathematics (in general)

CIRM – Centre International de Rencontres Mathématiques

Neural Networks and Artificial Intelligence, Machine Learning,    Genomics and Bioinformatics

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.

Isaac Newton Institute for Mathematical Sciences (INI)

In partnership with The Alan Turing Institute, the workshop aims to advance the foundational aspects of digital twins, bringing together world-leading researchers to deliver a major stepping stone in addressing research challenges against the backdrop of key application areas for digital twins, and subsequently disseminating the knowledge acquired to stakeholders in the UK and abroad.

CIRM – Centre International de Rencontres Mathématiques

The workshop will bring together both experienced researchers and promising young scientists from different scientific backgrounds, interested in the interplay between theoretical and applied research. It will promote the participation of male and female researchers with a good gender balance among speakers. The conference will place an emphasis on the connections between the areas and on directions for future research. We expect a high-level and high-impact event which will inspire new collaborations and will open new research directions.

Complex Systems, Chaos and Self-Organisation,    Scientific Computing and Data Science

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

Applied Mathematics (in general),    Systems Biology and Computational Biology

CIRM – Centre International de Rencontres Mathématiques

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.

Applied Mathematics (in general),    Probability and Statistics, Game Theory

National Training & Simulation Association

MODSIM will bring together M&S leaders focused on novel solutions and applications designed to innovate our future world. This unique, multi-disciplinary, and international conference and exposition features three presentation tracks, focusing on M&S communities of practice: Industry, Defense, and Training & Education. These main tracks include technologies, approaches, and solutions in numerous areas including Engineering, Medical Simulation, Data Analytics, Artificial Intelligence, Machine Learning, Extended Reality, Gamification, and Visualization.

MODSIM World features a robust agenda of papers and panels, industry workshops, and competition events, as well as an exhibit floor featuring a variety of companies and organizations showcasing new advances in M&S. Submit your abstract for a great opportunity to circulate your research throughout the M&S community.

Event Organizer;     Email: info@modsimworld.org

Manufacturing, Transportation, Aerospace, Energy, Infrastructure, Smart Cities, Artifical Intelligence, Machine Learning, Health Systems and Services, Training, Education, Gamification, Social Systems, Entertainment and Arts, Augmented- Virtual- and Mixed-Reality, Hospitality Services, National and International Defense, Cybersecurity, Data Analytics, State and Local Public Safety

ICMS - International Centre for Mathematical Sciences

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

Applied Mathematics (in general),    Probability and Statistics, Game Theory

The Fields Institute

Differential equations, in particular evolutionary differential equations, are used to model, often with uncanny effectiveness, a vast number of natural and social phenomena. The study of dynamical behaviors of the underlying models, e.g. their stabilities, robustness, bifurcations, and complexities, has become truly essential to understand the phenomena being modeled. It is precisely because of the modeling effectiveness of evolutionary differential equations that their dynamical study is among the fastest growing and most active multidisciplinary research fields today. Not only is the existing theory of dynamics of evolutionary equations closely intertwined with many areas of mathematics, but also the concepts, methods, and paradigms, introduced in the study have become an indispensible component of a multitude of works of more applied nature, in disciplines including chemistry, physics, material science, mechanics, electrical engineering, as well as in the emerging applications of social sciences, not to mention the explosion during the last several decades of applications related to the biological and life sciences. As we push the boundaries of applicability of the existing theory, we routinely discover that new mathematical and computational tools are needed, often symbiotically. To witness, it is widely accepted that an important factor contributing to the explosive growth in studying dynamics of evolutionary differential equations has been the availability of sophisticated and powerful computational tools. Yet, huge systems, systems with multiple time scales, multi-physics models, stochastic differential equations, non-smooth evolutionary problems, still transcend our collective understanding, and exhibit inherent complexities which are requiring the development of sophisticated new modeling and numerical techniques, and whose validity will need to be validated by rigorous mathematics.

Calculus, Differential Equations and Integration,    Analysis

Isaac Newton Institute for Mathematical Sciences (INI)

Imperial College London

The objective of the conference is to provide a forum for exchange of ideas and discussions on topics related to different forms of numerical modelling in geotechnical engineering. Both senior and young researchers, scientists and practitioners from Europe and overseas are warmly invited to attend this conference to share and exchange their knowledge.

Civil Engineering, Architecture, Construction and Geotechnical Engineering,    Geophysics and Geology

This 14th Edition aims to cover traditional topics of MCM conferences (Computational statistical physics, Quasi Monte Carlo methods, Markov Chain Monte Carlo in high dimension, Multilevel methods, Rare events simulation, Stochastic gradient and other stochastic optimization methods�) as well as emerging topics coming from applications and from artificial intelligence as: Generative models, Experimental design in Uncertainty Quantification, Monte Carlo simulations and High Performance computing, Reinforcement learning and control, Statistical learning and Monte Carlo sampling, Economic and industrial applications (Deeptech, finance, medicine, climate risks for instance).

Email: https://mcm2023.sciencesconf.org/

Institute of Mathematics and its Applications

The 12th International Conference on Modelling in Industrial Maintenance and Reliability (MIMAR) will take place in Nottingham, UK from 4-6 July 2023. This event is the premier maintenance and reliability modelling conference in the UK and builds upon a very successful series of previous conferences. It is an excellent international forum for disseminating information on the state-of-the-art research, theories and practices in maintenance and reliability modelling and offers a platform for connecting researchers and practitioners from around the world.

Conference Team;     Email: conferences@ima.org.uk

Engineering Economy and Cost Analysis • Life cycle/performance analysis, Maintenance and Reliability Modelling, Prognostics and Health Management, Reliability and Maintenance Engineering, Safety, Security and Risk Management, Spare Parts Supply Chain Management, Warranty Management and Data Analysis, Machine learning for reliability engineering and maintenance optimization

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

In this workshop, we will explore how the research realms of generative modelling and 3D neural representations can benefit from each other, as well as explore novel applications in different areas of science and technology.

Neural Networks and Artificial Intelligence, Machine Learning,    Scientific Computing and Data Science

Isaac Newton Institute for Mathematical Sciences (INI)

The aim of this summer school is to foster the development of a community of quantitative scientists who, while working on different application areas, share their knowledge and help address fundamental questions in the mathematics of movement. The goal is to identify common challenges and cross-fertilise concepts and techniques for modelling and analysing movement data in animal ecology and cell biology. With basic, as well as advanced, topics on the mathematics of movement the summer school welcomes early career researchers who that are new novice to the area but also those who that are already familiar with it. The first three days will be dedicated, respectively, to (i) Data Acquisition and Technology, (ii) Data Analysis, and (iii) Modelling, while the 4th and 5th days will be spent working in separate groups on specific dataset and modelling challenges. There will be sessions for early career presentations and poster sessions, as well as opportunities to hear about successful interdisciplinary collaborations and various activities to enable networking with the programme organisers and the many academic participants of the programme. There will also be a competition for the best poster.

Systems Biology and Computational Biology,    Courses and Events for Math Students and Early Career Researchers

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

Applied Mathematics (in general),    Geophysics and Geology

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.

Applied Mathematics (in general),    Systems Biology and Computational Biology

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.

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

Computational Physics and Numerical Simulation,    Mathematical Physics

Isaac Newton Institute for Mathematical Sciences (INI)

Applied Mathematics (in general),    Systems Biology and Computational Biology

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.

Applied Mathematics (in general),    Systems Biology and Computational Biology

Isaac Newton Institute for Mathematical Sciences (INI)

Applied Mathematics (in general),    Systems Biology and Computational Biology

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.

Applied Mathematics (in general),    Systems Biology and Computational Biology

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.

Applied Mathematics (in general),    Systems Biology and Computational Biology

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

What have we learned from the COVID-19 pandemic, and how can we be better prepared for the next global outbreak? This workshop brings together collaborative teams of modellers, statisticians, epidemiologists, genomics experts, public health decision-makers, and those implementing and delivering interventions who have been working together in a research network, aiming to increase Canada’s capacity for data-driven emerging infectious disease modelling to directly support future public health decisions. This BIRS meeting is an important opportunity for network members and collaborators to share the outcomes of their research over the two years since the network was launched with funding from the federal government. The questions being tackled at this workshop are grounded in public health needs and generated in partnership between research investigators and knowledge users – public health leaders, health administrators and policy-makers.

Epidemiology & Public Health,    Systems Biology and Computational Biology

CIRM – Centre International de Rencontres Mathématiques

Computational Physics and Numerical Simulation,    Scientific Computing and Data Science

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

Probability and Statistics, Game Theory,    Complex Systems, Chaos and Self-Organisation