Conferences and Meetings on Modeling and Simulation

The aim of ICSMO 2020 is to povide a platform for researchers, engineers, academics as well as industry professionals from all over the world to present their research results and development activities in the area of System Modeling and Optimization.

Scientific Computing ,    Electrical Engineering

Mathematical models of scientific applications often involve simulations with a large number of degrees of freedom that strain even the most efficient of algorithms. A clear need is the rigorous development of models with reduced complexity that retain fidelity to the application. Mathematics-based reduced-order modeling applies techniques in nonlinear approximation, projection-based discretizations, sparse surrogate construction, and high-dimensional approximation, in order to construct a model surrogate with near-optimal approximation properties. This workshop focuses on theoretical and algorithmic advances in mathematics-based model order reduction of various types: reduced basis methods, projection-based methods for dynamical systems, and sparse and low-rank approximations in high dimensions.

Department of Physics & Astronomy The University of Georgia

Condensed Matter Physics and Materials,    Scientific Computing

Pandit Deendayal Petroleum University

The objective of the conference is to exchange new knowledge and recent development in all aspects of computational techniques, mathematical modeling, energy systems, applications of fuzzy sets and many more. The conference will provide an opportunity for researchers, academicians, and students to share their knowledge and discuss the latest developments in their field of expertise.

Ecosystems, Environment and Sustainable Development,    Applied Mathematics (in general)

University of Eyvanekey , Iran

We are pleased to announce the First National Conference on Mathematical Modeling and Computational Methods in Sciences and Engineering will be held on February 27, 2020, at the University of Eyvanekey in Iran. The MMCM 2020 conference is aimed to attract and bring together experts, researchers and postgraduate students on Mathematical and Computational Modelling in several fields of Science, Technology and Engineering, such as theoretical and computational aspects in Mathematics, Informatics, Physics, Chemistry, Mechanics, Biology, Economics, and other sciences, from the entire world in order to discuss high level scientific questions, exchange solid knowledge of pure and applied sciences, and investigate diverse backgrounds, theoretically and practically. We trust that recent and cutting-edge concepts will be presented within this meeting between all the participants. This event will provide an excellent forum to discover the cutting-edge directions on Mathematical and Computational Modelling. In a nut-shell, MMCM 2020 conference will provide a perfect atmosphere to discover new and original results as well as potential applications in Mathematical Modelling and Applied Mathematics.

Phone: [+989199781548];     Email: infoconf2020@gmail.com

Applied Mathematics (in general),    Scientific Computing

International Association of Computer Science and Information Technology and Central Queensland University

The 12th International Conference on Computer Modeling and Simulation is the main annual research conference aims to bring together researchers around the world to exchange research results and address open issues in all aspects of Computer Modeling and Simulation. It is co-organized by International Association of Computer Science and Information Technology and Central Queensland University, Australia.

Computational Physics and Numerical Simulation,    Scientific Computing

Mathematical Sciences Department at the United Arab Emirates University (UAEU)

The Mathematical Sciences Department at the United Arab Emirates University (UAEU) is honored to host the 6th International Conference on Complex Dynamical System in Life Science: Modeling and Analysis (6th ICCDS’2020), Al Ain, March 16-18, 2020. Understanding biological processes such as diseases progress, species interactions, ecological phenomena, medications effects, for example, requires understanding the complexity of these processes by using different innovative tools. Mathematical modeling had proven to be one of the essential approaches to study such complexity.

Phone: [+971-37136305];     Email: iccds2020@uaeu.ac.ae

mathematical modeling of complex systems in life Sciences ecology, oncology, infectious diseases, genetical disease, chronic diseases, and neurological

Applied Mathematics (in general),    Epidemiology & Public Health

American College of Surgeons (ACS)

Healthcare Technologies,    Surgery

International Association of Engineers (IAENG)

The conference ICSC'20 is held under the International MultiConference of Engineers and Computer Scientists 2020. The IMECS 2020 is organized by the International Association of Engineers (IAENG), a non-profit international association for the engineers and the computer scientists. The IMECS conferences serve as good platforms for our members and the entire engineering community to meet with each other and to exchange ideas

Scientific Computing ,    Numerical Analysis and Computational Mathematics

Uncertainty quantification (UQ) is essential for producing informative computational predictions in a wide range of sciences and engineering. The field relies on a broad range of mathematical and statistical foundations, with associated algorithmic and computational developments. This conference will bring together mathematicians, statisticians, scientists, and engineers with an interest in the development and implementation of uncertainty quantification methods. Major conference themes will include the mathematical and statistical foundations of UQ, applications of UQ in the physical sciences and biosciences, and connections between UQ and machine learning. The goal of the meeting is to provide a forum to share ideas and enhance communication among this diverse group of technical experts, thereby contributing to future advances in the field.

Centre International de Rencontres Mathématiques (CIRM)

This conference always boasts an excellent mix of delegates from the fields of simulation practice and research. The conference covers application and theoretical developments across all simulation methods, for example agent-based simulation, discrete-event simulation, system dynamics and monte-carlo simulation.

The meeting will take place at Faculte des Sciences et Techniques Cadi Ayyad University The main topics of the conference are: - Numerical linear algebra. Model reduction. Scientific Computation. - Approximation. Optimization. Numerical methods for partial differential equations. - Inverse and ill-posed problems. Computational Statistics. - Applications: Artificial Intelligence- Data Mining - Machine learning- Image processing

The ultimate goal of the US-EU Transport Task Force (TTF) is to develop a physics-based understanding of particle, momentum and heat transport in magnetic fusion devices. This understanding should be of sufficient depth that it allows the development of predictive models of plasma transport that can be validated against experiment, and then used to simulate the future performance of burning plasmas in ITER, and next-step fusion energy reactors.

The 2020 U.S. TTF Workshop will be co-located with the 2020 Sherwood Fusion Theory Conference and coordinated with the 2020 Asia-Pacific Transport Working Group.

Plasma and Gas-discharge Physics, Nuclear Fusion,    Scientific Computing

CIRM – Centre International de Rencontres Mathématiques

Plant diseases belong to the largest threats of food security and human health worldwide. Many plant diseases are caused by pathogens that are transmitted by insect vectors. It is increasingly recognized that pathogens modify the behavior of their vectors to increase transmission, and there is compelling empirical evidence that transmission by vectors depends on the infection status of host plants and of the vectors themselves. Modeling the effects of vector preferences on disease transmission is a current research front, because this has an impact on crop protection strategies. However, there is a lack of incorporating spatial vector dispersal and including preference in vector movement. We propose to construct and analyze a spatiotemporal model of plant infection that includes spatial movement of vectors, especially movement that depends on infection status of hosts and vectors. This leads to systems of nonlinear partial differential equations, where the movement will be described by diffusion and advection terms, whereas transmission and population dynamics will be described by reaction terms. The work will build on the applicants‘ extensive experience and expertise in the mathematical modeling of plant and vector-borne diseases, movement preferences and movement behavior, as well as the analysis of partial differential equation models. The work will be the first to study partial differential equations for plant disease models with vector preferences

Scientific Computing ,    Applied Mathematics (in general)

Babes-Bolyai University, Department of Physics

The Conferences of the Middle European Cooperation in Statistical Physics (MECO) were initiated in 1974 with the aim of bridging the gap between the communities of scientists from the Eastern and Western blocks of Europe, separated by the iron curtain. Since then, MECO conferences have become the yearly itinerant reference meetings for the community of scientists who are active in the field of Statistical Physics in the broader sense, including modern interdisciplinary applications to biology, finance, information theory, and quantum computation.The 45th edition is organized by the Faculty of Physics, Babeș-Bolyai University and the Transylvanian Branch of the Hungarian Academy of Sciences (KAB)

Event Secretary;     Phone: [+40 748 467 527];     Email: meco45@kab.ro

disordered and frustrated systems, strongly correlated systems, soft and active matter, networks and complex systems, synchronization and collective behavior, quantum many body systems and quantum computation, non-equilibrium phenomena, interdisciplinary applications, biophysics, econophysics, sociophysics

Thermodynamics, Fluid Dynamics and Statistical Physics,    Complex Networks

Vanderbilt University, Nashville

Computational Science & Engineering Division (CSED) of the Atomic Energy Society of Japan (AESJ)

SNA+MC 2020 will cover not only the traditional conference topics, but also special topics relevant to Fukushima Recovery & Decommissioning, Virtual Reactor & Virtual ADS, AI Technologies in the Nuclear Field, and Monte Carlo Simulation for Medical and Life Science.

High Performance Computing, Supercomputing, Parallel Computing,    Nuclear Energy

The Society for Modeling and Simulation International (SCS)

The American Society of Mechanical Engineers (ASME)

This unique event will bring together engineers and scientists from all disciplines that use computational modeling and simulation to discuss and exchange ideas and methods for verification of codes and solutions, simulation validation, and assessment of uncertainties in mathematical models, computational solutions, and experimental data.

Computational Physics and Numerical Simulation,    Scientific Computing

The Eurasian Association on Inverse Problems (EAIP)

The objective of this meeting is to be multidisciplinary and international, bringing together scientists working on various topics of inverse problems in diverse areas, such as mathematics, engineering, physics, geology, chemistry, biology, medicine, material science, nanotechnology, meteorology, economics and finance, and many other areas in the fields of biotechnology, genetics and ecology.

Society for Industrial and Applied Mathematics – SIAM

Analysis,    Operational research

Michigan Technological University

The primary focus of the conference is to educate and inspire researchers and students in new and innovative numerical techniques for the parallel-in-time solution of large-scale evolution problems on modern supercomputing architectures, and to stimulate further studies in their analysis and applications.

The Fields Institute

Internationally, the United Nations has called for a more rigorous approach, including the application of spatial-temporal modeling, for surveillance and disease reporting, particularly for groups societally marginalized. To address this gap, we will invite world-renowned researchers with expertise in mathematical and statistical modeling of spatial and temporal data.

Applied Mathematics (in general),    Epidemiology & Public Health

The principal aim of Chaos2020 International Conference is to expand the development of the theories of the applied nonlinear field, the methods, empirical data and computer techniques as well as the best theoretical achievements of chaotic theory. Chaos2020 Conference provides a forum for bringing together the various groups working in the area of Nonlinear and Dynamical Systems, Chaotic theory and Application to exchange views and report research findings.

Stanford University

Computational Methods in Water Resources (CMWR) is a series of biannual conferences which, since 1976, alternate between locations in North America and Europe. CMWR is dedicated to nurturing and promotion of cutting-edge interdisciplinary research on quantitative forecasting of hydrological processes, with a special emphasis on mathematical, computational, and statistical methods.

Data, models, data-driven models, and their use in decision-making

Scientific Computing ,    Hydrology

Johannes Kepler University (JKU) and the Johann Radon Institute for Computational and Applied Mathematics (RICAM), in Linz, Austria

The Seventh International Conference on Uniform Distribution Theory (UDT 2020) will take place at the Johannes Kepler University (JKU) and the Johann Radon Institute for Computational and Applied Mathematics (RICAM), in Linz, Austria, in July 2020. Linz is the third-largest city of Austria and capital of the state of Upper Austria. Both JKU and RICAM are hosting institutions of the Special Research Program "Quasi-Monte Carlo Methods: Theory and Applications" funded by the Austrian Science Fund, FWF.

Centre International de Rencontres Mathématiques (CIRM)

SMAI SUMMER SCHOOL – CEMRACS

Analysis,    Numerical Analysis and Computational Mathematics

Institute of Mathematics (IMA)

The 11th International Conference on Modelling in Industrial Maintenance and Reliability (MIMAR) will take place in Nottingham, UK from 14 - 16 July 2020. 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.

Coventry University

statistical mechanics and complex systems, soft matter, biophysics, materials and nano-science, fluid dynamics, quantum many-body physics, quantum computing, lattice field theory, astrophysics, gravitation, cosmology, novel hardware and software, computational physics education, machine learning and algorithms, geophysics and porous media

Scientific Computing ,    Numerical Analysis and Computational Mathematics

Scientific Computing ,    Probability and Statistics, Game Theory

Many real world problems arising in engineering, economics, medicine and other domains can be formulated as optimization tasks. These problems are frequently characterized by non-convex, non-differentiable, discontinuous, noisy or dynamic objective functions and constraints which ask for adequate computational methods. The aim of this workshop is to stimulate the communication between researchers working on different fields of optimization and practitioners who need reliable and efficient computational optimization methods.

combinatorial and continuous global optimization, unconstrained and constrained optimization, multiobjective and robust optimization, optimization in dynamic and/or noisy environments, optimization on graphs, large-scale optimization, in parallel and distributed computational environments, meta-heuristics for optimization, nature-inspired approaches and any other derivative-free methods, exact/heuristic hybrid methods, involving natural computing techniques and other global and local optimization methods, numerical and heuristic methods for modeling

Operational research,    Numerical Analysis and Computational Mathematics

Over the past decades, it is more and more acknowledged that including uncertainty in numerical analysis embodies a very useful and valuable application of the increasing capabilities of modern (high-performance) computer facilities, both in science and in industry. Non-deterministic methodologies enable the numerical simulation of uncertain or variable processes, providing information on ranges of possible behavior rather than unique predictions. This information can only increase the trustworthiness of the underlying analysis, and proves to be of great value in the virtual prototyping process that is becoming a standard in current design engineering practice.

Acoustics, Noise and Vibration,    Engineering (general)

International Federation for Information Processing

The IFIP TC7 Conference on System Modelling and Optimization is organised by the International Federation for Information Processing, Technical Committee 7. The 29th edition of the biannual conference takes place in Quito, Ecuador, 2.8 kilometers above sea level on the campus of the Escuela Polit�cnica Nacional.

Optimal Control of Ordinary and Partial Differential Equations, Modeling and Simulation, Inverse Problems, Nonlinear, Discrete, and Stochastic Optimization, and Computational Optimization.

Numerical Analysis and Computational Mathematics,    Applied Mathematics (in general)

Union of Slovak Mathematicians and Physicists in cooperation with Slovak University of Technology in Bratislava, Comenius University in Bratislava, Slovak Academy of Sciences and Algoritmy:SK s.r.o

Scientific Computing ,    Computational Physics and Numerical Simulation

Universität Augsburg

Parametric optimization is a part of mathematical programming and has emerged as an exciting research area in theory, numerics and applications. It investigates the properties of solutions to optimization problems under data perturbations or uncertainty. Many relations to other disciplines of operations research, like stochastic programming, complementarity problems, mixed-integer problems, model-building, numerical methods, multi-objective optimization and optimal control, originate from these properties.

Operational research,    Algorithms

The NUSOD conference connects theory and practice in optoelectronics. Papers are solicited on the modeling, simulation, and analysis of optoelectronic devices including materials, fabrication, and application. Academic researchers, device engineers, and software developers are invited to discuss the advancement and the practical use of numerical methods in photonics and electronics.

Computational Physics and Numerical Simulation,    Photonics, Optoelectronics and Display Devices

Centre International de Rencontres Mathématiques (CIRM)

RESEARCH SCHOOL

Analysis,    Probability and Statistics, Game Theory

CIRM – Centre International de Rencontres Mathématiques

INTERFACE PROGRAM (CIRM-INDUSTRY)

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

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

Quantum Mechanics and Quantum Information Theory,    Mathematical Physics

Center for Advanced Research for Applied Mathematics and Statistics, Manipal Academy of Higher Education, (MAHE)

Matrix Analysis, Projectors in Linear Models & Multivariate Analysis, Growth Curve Models, Linear Regression Models, Linear Statistical Inference, Modelling Covariance Structures, Multivariate and Mixed Linear Models, Statistics in Big Data Analysis.

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

Institute for Mathematical Sciences/National University of Singapore

The program's primary aim is to establish the foundation of the new interdisciplinary subject Biomolecular Topology. The goal is to foster new research in biomolecular topology and promote transformative topological techniques by bringing together experts from geometric topology, algebraic topology, combinatorial topology, computational topology, and topological data analysis to tackle fundamental biological challenges. The expectation is that the program will harness existing connections between mathematics and biology and create new ones.

Molecular Biology,    Genomics and Bioinformatics

CIRM – Centre International de Rencontres Mathématiques

CIRM – Centre International de Rencontres Mathématiques

Mathematical Physics,    Scientific Computing

CIRM – Centre International de Rencontres Mathématiques

Mathematical Physics,    Mechanics, Rheology and Tribology