Conferences  >  Mathematics  >  Modeling and Simulation

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.

Event Organizer;     Email: info@modsimworld.org

Manufacturing, Transportation, Aerospace, Energy, Infrastructure, Smart Cities, Artificial 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

Institute of Measurement Science of the Slovak Academy of Sciences

PROBASTAT 2024, the 8th International Conference on Probability and Statistics, celebrates a 50-year legacy of advancing the exchange of ideas and research within the statistics community. This year's conference offers a rich and engaging program, featuring both invited and contributed talks, alongside poster presentations that cover both traditional and modern aspects of statistical theory and its applications. Key research areas at PROBASTAT include, but are not limited to, statistical inference in parametric and nonparametric models, multivariate analysis, regression and mixed models, optimal experimental design, and applied statistics. The event will also feature prominent keynote lectures and specially organized sessions led by renowned experts in their fields. Additionally, select papers from PROBASTAT 2024 will be featured in a special issue of the journal Statistical Papers, published by Springer. We are looking forward to the meeting at the PROBASTAT 2024 conference.

PROBASTAT 2024 Secretariat;     Email: PROBASTAT2024@savba.sk

Statistical Inference in Parametric and Nonparametric Models, Multivariate Analysis, Regression and Mixed Models, Optimal Experimental Design, Applied Statistics

Probability and Statistics, Game Theory,    Probability and Statistics, Game Theory

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

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

Ghent University, Department of Data Analysis and Mathematical Modelling

Scientists working in the area of discrete modeling of complex systems are invited to submit abstracts on their research to be presented at the conference. Of particular interest are cellular automata, agent-based simulation models, and complex networks. Both theoretical and applied research is welcome. Accepted abstracts will be scheduled as talks. The deadline for abstract submission is the 1st of June.

Email: Solstice2024@ugent.be

Cellular automata, Complex networks, Artificial intelligence and discrete systems, Agent-based modeling, Game theory and discrete systems, Emergence and self-Organization in discrete systems, Optimization in discrete models, Hybrid discrete-continuous systems, Information theory and discrete dynamics, Mathematical modelling of biological and social phenomena

Complex Networks,    Complex Systems, Chaos and Self-Organisation

ICCMS 2024 is organized by Dalian University of Technology, China, co-organized by Chongqing University of Posts and Telecommunications, China.

The 16th International Conference on Computer Modeling and Simulation (ICCMS 2024), which will be held in Dalian, China during June 21-23, 2024.

Email: aimee@iacsit.net

Agent Based Simulation; Analytical and Stochastic Modeling Techniques and Applications; Biomedical Visualization and Applications; Chaos Modeling, Control and Signal Transmission; Emerging Technologies and Applications;

Calculus, Differential Equations and Integration,    Computational Physics and Numerical Simulation

Explore how logical formalisms can be used to model diverse phenomena spanning from social sciences to natural languages.

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

Drug design and development are costly and lengthy. Mathematical and computational modelling anchored in model-informed drug development (MIDD) and quantitative systems pharmacology (QSP) methodologies are integral to accelerating the R&D pipeline. In parallel, MIDD and QSP can be used to better understand the biological basis of drug responses and fuel new biomedical research paths. This workshop will bring together experts in the fields of MIDD and QSP with the goal of strengthening ties between industrial and academic researchers and advancing these exciting fields.

Pharmacology and Drug Development,    Applied Mathematics (in general)

The complexity of the problems crucial for understanding the technical, social and, more broadly, systemic challenges related to today's reality, requires the creation and application of appropriate mathematical models and their optimization. Today's world is flooded with an unimaginable amount of data, the usefulness of which depends on the way they are incorporated into mathematical models, which make it possible to explain the nature of the processes and, what is particularly important, to forecast of the future.

Abdus Salam International Centre for Theoretical Physics (ICTP), Trieste, Italy

The Energy Modelling Platform – Joint Global Training School 2024 (EMP-G) will be held from 12th to 23rd August. Hosted by the International Centre for Theoretical Physics (ICTP), this is a fantastic opportunity to get free training, access to discussion forums, and coaching skills in models and tools for all of your energy planning needs. Before the beginning of the event on 12th August, there will be a one-week advance tool training, from 5th to the 9th of August.

Courses and Events for Physics Students,    Scientific Computing and Data Science

Abdus Salam International Centre for Theoretical Physics (ICTP), Trieste, Italy

Scientific Computing and Data Science,    Ecosystems, Environment and Sustainable Development

University of Waterloo, Canada

The MCQMC conference series is a biennial meeting focused on Monte Carlo (MC) and quasi-Monte Carlo (QMC) methods in scientific computing. The conference attracts between 150 and 200 participants. Its aim is to provide a forum where leading researchers and users can exchange information on the latest theoretical developments and important applications of these methods. Recent conferences have attracted researchers in Markov chain Monte Carlo (MCMC). In a nutshell, MC methods study complex systems by simulations fed by computer-generated pseudorandom numbers. QMC methods replace these random numbers by more evenly distributed (carefully selected) numbers to improve their effectiveness. A large variety of special techniques are developed and used to make these methods more effective in terms of speed and accuracy. The conference focuses primarily on the mathematical study of these techniques, their implementation and adaptation for concrete applications, and their empirical assessment.

Probability and Statistics, Game Theory,    Scientific Computing and Data Science

Fields Institute

This workshop aims to showcase the state-of-the-art mathematical and computational models that are in use in mathematical oncology, with a particular focus on the fourteen hallmarks of cancer. New modeling challenges arise from these hallmarks. Some of the hallmarks relate to the characteristics of the cancer cells themselves (sub-cellular and cellular level), while others include more global effects such as blood circulation, the immune response, the effect and role of the microenvironment, mechanical forces, and the microbiome. Matching the biological diversity of the cancer hallmarks, is the diversity of mathematical approaches and techniques that have been used and are in use to give insight into the growth and spread of cancer – for example, continuum and discrete models; ordinary and partial differential equation models; individual-based and agent-based models; hybrid models; deterministic and stochastic approaches; analytical and computational approaches. Many of these processes act on very different spatial and temporal scales. Hence a new integrated multiscale mathematical modeling framework is needed to include new aspects and insights, such as spatial stochastic models and local and non-local partial differential equation models.

Oncology,    Systems Biology and Computational Biology

University of Vienna, Department of Astrophysics

The BRITE Side of Stars hybride conference will commemorate the ten successful years of BRITE-Constellation. Focus will be on science highlights of BRITE and similar space missions, follow-up projects in stellar astrophysics, data archives, and lessons learned for the next generation - researchers as well as technicians. It will be held in Vienna from August 20 to 23, 2024, and registration will allow you to propose topics which you want to be addressed.

Email: stars24.astro@univie.ac.at

Fields Institute

This workshop aims to take a closer look at how mathematical and computational models can help answer clinically relevant questions and enhance multimodal treatments. Currently, a wide range of modelling approaches study cancer and have a crucial role in treatment delivery from answering questions related to cancer biology and treatment efficacy to directly helping with treatment delivery. In this workshop, we would like to bring together clinicians, biomedical experts, experimentalists, and mathematicians to explore some of the relevant questions on multimodal treatment modelling, efficacy, optimization, drug resistance and clinical delivery.

Oncology,    Systems Biology and Computational Biology

Fields Institute

This workshop explores research in methods aimed at connecting mathematical models of cancer evolution and clinical data. It focuses on ecology and evolution of cancer. Traditionally, ecology and evolution have been the most “mathematical” (and perhaps the first mathematical) areas of biology. Mathematical contributions to these fields made in the 20th century are now fundamental parts of scientific knowledge. More recently, methods of ecology and evolution have found their way into oncology, bridging traditional molecular biology and mathematics including stochastic processes, dynamical systems, and nonlinear partial differential equations. New biological challenges lead to difficult mathematical problems and beautiful solutions, which are both innovative mathematically and impactful from the point of view of public health. These will be the focus of the proposed workshop .

Oncology,    Systems Biology and Computational Biology

Fields Institute

Immunotherapies have revolutionized treatments for several types of cancers, but have been met with clinical trial failures in others. The idea of eliciting an immune response against a tumour is old, but we are only just beginning to harness the potential of the immune system to treat both solid and liquid tumours. To improve immunotherapeutic approaches requires understanding how the immune system interacts around and within a tumour, allowing us to establish effective immunotherapeutic protocols. Mathematical modelling can help identify the mechanisms at the heart of immunotherapeutic efficacy and design successful therapeutic regimens. Close collaboration between experimentalists, clinicians, and quantitative researchers in academia and industry is required to forward models for implementation. This workshop will focus on tightening the links between researchers in different fields to fuel immunotherapy success.

Oncology,    Systems Biology and Computational Biology

Institute for Advanced Study in Mathematics (IASM)

Free boundaries and moving interfaces are ubiquitous in our daily activities such as pouring red wine into a glass, jumping into a swimming pool, or watching water waves at the beach. Other processes involving interfaces are much less visible, but have great impacts on our lives. For example, one mechanism by which cancel cells move around is to change the shape of their boundaries. As another example, three major components in our blood are the red cells, the white cells, and platelets; injure of blood vessels will trigger complicated chemical reactions and physical processes that occur on the interface of these cells. It is therefore extremely important to solve key problems in this scientific field so that we can save money, energy, time, and even human lives. One major tool for sciences in this field is through mathematical modeling and numerical computations. This workshop aims to bring together experts from various disciplines to work together on the analysis, modeling, computation, and applications of a wide range of free-boundary and moving-interface problems.

Numerical Analysis and Computational Mathematics,    Analysis

CIRM – Centre International de Rencontres Mathématiques

Central University of Punjab, Department of Mathematics and Statistics

The FIAM conference, organized by the Forum for Industrial and Applied Mathematics, serves as a premier platform for academia, researchers, and professionals to exchange insights and innovations in the field of mathematical sciences. Through national and international gatherings, FIAM fosters collaboration, showcasing advancements in data analysis, numerical methods, and simulation techniques. With a focus on real-world problem-solving, the conference bridges theory and practice, facilitating dialogue between academia and industry. By uniting diverse perspectives and expertise, FIAM conferences propel research forward, driving solutions to complex industrial challenges and advancing the frontiers of applied mathematics.

Convener;     Phone: [+91-89686-44973];     Email: fiam.conf@cup.edu.in

Artificial Intelligence, Bio-Mathematics, Bio-Statistics, Boolean Functions and their Generalizations, Computational and Theoretical Fluid Dynamics, Computational Mechanics, Control and System Theory Cosmology and Celestial Mechanics, Cryptography, Differential Equations and Applications, Discrete Mathematics, Dynamical Systems and Nonlinear Analysis, Fractional Differential Equations, Fuzzy Systems, Geometry and Topology, Image and Signal Processing, Integral Equations, Mathematical Physics, Modelling and Simulation, Multimedia Security, Nano Fluid Mechanics, Neural Networks, Numerical Techniques, Operations Research, Probability and Statistics, Soft Computing, Soliton Solutions, Wavelet Analysis.

Applied Mathematics (in general),    Neural Networks and Artificial Intelligence, Machine Learning

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