Conferences and Meetings on Modeling and Simulation

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

Algebraic dynamics is the study of discrete dynamical systems on algebraic varieties. It has its origins in complex dynamics, where one studies self-maps of complex varieties, and now encompasses dynamical systems defined over global fields. In recent years, researchers have fruitfully investigated the latter by applying number-theoretic techniques, particularly those of Diophantine approximation and geometry, subfields which study the metric and geometric behavior of rational or algebraic points of a variety.

Courses and Events for Math Students and Early Career Researchers,    Algebra

University of California-Santa Cruz, California

Data science and optimization are closely related. On the one hand, many problems in data science can be solved using optimizers, on the other hand optimization problems stated through classical models such as those from mathematical programming cannot be considered independent of historical data. Examples are ample: Machine Learning (ML) often relies on optimization techniques such as linear or integer programming; reasoning systems have been applied to constrained pattern and sequence mining tasks; a parallel development of metaheuristic approaches has taken place in the domains of data mining and machine learning; methods aimed at high level combinatorial optimization have been shown to strongly profit from configuration, algorithm selection and tuning tools building on historical data; ML models can be embedded in combinatorial optimization problems to address hard-to-model systems, or for validation of the ML model itself; “predict, then optimize” scenarios can be dealt with in an integrated fashion to improve considerably the solution quality.

Neural Networks and Artificial Intelligence, Machine Learning,    Scientific Computing

Casa Matemática Oaxaca (CMO) in Mexico, and the Banff International Research Station for Mathematical Innovation and Discovery (BIRS) in Banff, Canada

The development of high-performance simulation tools for real-life problems involving fluid flows and related transport phenomena frequently requires the use of numerical methods that are high-order accurate in space and time and preserve important physical properties of certain quantities of interest (such as nonnegativity of the water height in shallow water equation models). In recent years, the state of the art in the development of such schemes was significantly advanced by a breakthrough in theoretical analysis which has provided illuminating insights into the properties of existing methods and new design criteria for the development of improved solution strategies. However, many theoretical aspects of physics-aware discretization techniques still require further exploration or have not been put into practice so far. The purpose of this workshop is to bridge the gap between the mathematical theory and engineering practice.

Courses and Events for Math Students and Early Career Researchers,    Scientific Computing

IEEE AI Test Conference 2021

This is a great opportunity for you all if you like to learn AV simulation technology and test automation on this subject. The challenge has been supported by LG and Baidu and other companies. The winning teams will receive cash awards (from $1000 to $5000) and IEEE Challenge Certificate Award. The registration is free, and you will get a chance to publish a challenge paper on the IEEE AV-Test Challenge Workshop program. We encourage you to form a team to join the challenge. LG AV Simulator Team will provide the training sessions for you.

Email: jerry.gao@sjsu.edu

ICERM

A challenge for mathematical modeling, from toy dynamical system models to full weather and climate models, is applying data assimilation and dynamical systems techniques to models that exhibit chaos and stochastic variability in the presence of coupled slow and fast modes of variability. Recent collaborations between universities and government agencies in India and the United States have resulted in detailed observations of oceanic and atmospheric processes in the Bay of Bengal, the Arabian Sea, and the Indian Ocean, collectively observing many coupled modes of variability. One key target identified by these groups was the improvement of forecasts of variability of the summer monsoon, which significantly affects agriculture and water management practices throughout South Asia. The Monsoon Intraseasonal Oscillation is a northward propagating mode of precipitation variability and is one of the most conspicuous examples of coupled atmosphere-ocean processes during the summer monsoon. Simulating coupled atmosphere-ocean processes present mathematical challenges spanning numerical methods, data assimilation, stochastic modeling, dynamical systems and chaos, and uncertainty quantification. Predicting monsoon variability is one of the hardest, most important forecasting problems on earth due to its impact on billions of people, a key aspect of the desire to push weather forecasts into the management-actionable “medium-range” horizon of weeks to seasons. Addressing this challenge requires an interdisciplinary effort to combine observations, computation, and theory. A better understanding of these processes and how they can be represented in a variety of coupled ocean-atmosphere simulations and models (including statistical and dynamical approaches) and forecast systems (including data assimilation techniques and uncertainty quantification) is the primary topic of this workshop. While the set of observations to be discussed will emphasize this region, the mathematical and computational aspects of the program will be significantly broader, covering: coupled ocean-atmosphere modeling for weather models, climate models and idealized models; theory of the atmospheric and oceanic boundary layers, and waves on the interface; data assimilation in coupled modeling systems; and numerical methods for coupled systems.

Program Coordinator;     Phone: [401-863-5030];     Email: info@icerm.brown.edu

Mathematical modeling, dynamical systems techniques, stochastic variability

Meteorology and Climate Change,    Computational Physics and Numerical Simulation

The school is organised with the support of the International Centre for Mathematical Sciences (Edinburgh, UK).

Robust Optimization, Nonsmooth Optimization

Courses and Events for Physics Students,    Courses and Events for Math Students and Early Career Researchers

Lake Como School of Advanced Studies

Neural Networks and Artificial Intelligence, Machine Learning,    Neurology

Nepal Mathematical Society

Nepal Mathematical Society (NMS) in collaboration with Central Department of Mathematics, Tribhuvan University (TU) ; Department of Mathematics, School of Science, Kathmandu University (KU), South Asian University (SAU) New Delhi India; Association of Nepalese Mathematicians in America (ANMA) USA; Department of Mathematics Valmeeki Campus, Nepal Sanskrit University (NSU) is organizing an International Conference on Analysis and Its Applications-2021 (ICAA_Nepal_2021) during April 9-11, 2021.

Complex Analysis; Harmonic Analysis; Fixed Point Theory; Special functions; Functional Analysis; Wavelet Analysis; Fourier Analysis; Optimization theory; Queueing Theory; Differential Equations; Numerical Analysis; Mathematical Biology; Convex Analysis; Inverse Problems and Non-linear Analysis; Operator Theory and Function Space; Variational Analysis; Smooth and Non-smooth Analysis; Modern Methods in Summability and Approximation Theory; Dynamical Systems; Sequence Spaces; Matrix Transformation, Mathematics Teaching, Probability and Statistics.

Analysis,    Applied Mathematics (in general)

Approximation and online algorithms are fundamental tools to deal with computationally hard problems and problems in which the input is gradually disclosed over time. Both kinds of problems arise from a large number of applications in a variety of fields. The workshop focuses on the design and analysis of approximation and online algorithms. It also covers experimental methods used to design and analyze efficient approximation and online algorithms. It is colocated with ALGO 2021, which also hosts ESA, ALGOCLOUD, ALGOSENSORS and ATMOS. ALGO 2021 will take place 6-10 September 2021 in Lisbon, Portugal.

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. paraoptXII welcomes papers as well as proposals for special sessions on any area in parametric optimization or related topics. We hope that the conference will continue to help link researchers and practitioners from different areas of mathematical programming from around the world.

Operational research,    Algorithms and Data Structues

The First Conference Of Young Applied Mathematicians in Leuca is organized by PhD students from University of Pavia, University of Vienna and King Abdullah University of Science and Technology in the topics of Applied Mathematics. In particular, the conference targets Ms/PhD students and first years Postdocs interested in the fields of mathematical modelling, numerical analysis, machine learning and statistics.

Courses and Events for Math Students and Early Career Researchers,    Applied Mathematics (in general)

ICERM

The workshop will be devoted to the analysis of wave phenomena from different perspectives: mathematical modeling and analysis, experimental physics, and numerical analysis. One of the goals of this event is to gather scientists coming from a priori distant communities but sharing a common interest in wave propagation phenomena in a broad sense (fluid mechanics, quantum mechanics, plasma physics, rigorous analysis). We plan to focus on various themes representing topical problems in these fields, from experimental reproduction of physical phenomena, numerical issues, to the most recent rigorous mathematical results.

Phone: [401-863-5030];     Email: info@icerm.brown.edu

wave phenomena, modeling and analysis, experimental physics, and numerical analysis.

Mathematical Physics,    Computational Physics and Numerical Simulation

Casa Matemática Oaxaca (CMO) in Mexico, and the Banff International Research Station for Mathematical Innovation and Discovery (BIRS) in Banff, Canada

Locomotion of cells, both individually and collectively, plays an important role in development, the immune response, wound healing, and cancer metastasis. Movement requires force transmission to the environment, and motile cells are robustly-designed nanomachines that often can cope with a variety of environmental conditions by altering the mode of force transmission – which ranges from crawling to swimming. The shape and integrity of a cell is determined by its cytoskeleton, and thus the shape changes that may be required to move involve controlled remodeling of the cytoskeleton. Motion in vivo is often in response to extracellular signals, which requires the ability to detect such signals and transduce them into the shape changes and force generation needed for movement. Thus the nanomachine is complex, and while much is known about individual components involved in movement, an integrated understanding of single cell motility, even in simple cells such as bacteria, is not at hand. At the next level, collective movement requires coordination of these nanomachines, which introduces another level of complexity. This complexity has stimulated mathematical modelling and computational simulations of cell and tissue movement at various levels, which has advanced our understanding of movement on multiple time and space scales.

Courses and Events for Math Students and Early Career Researchers,    Computational Physics and Numerical Simulation

Society for Industrial and Applied Mathematics (SIAM)

Geometry and Topology,    Computational Physics and Numerical Simulation

L'école a pour but d'initier les doctorants et les jeunes chercheurs à quelques techniques mathématiques modernes pour le traitement théorique et numérique des données, qu'ils soient signal, image, graphes et réseaux ou nuages de points, etc. La théorie du transport optimal de masse (TOM) sera mise en avant afin d'initier les jeunes chercheurs à cette thématique moderne à l'interface entre l'optimisation, les EDP et les probabilités. Elle permet de traiter une large gamme de problèmes d'applications. Pour dynamiser et booster les activités de recherche locales, des applications modernes dans le domaine d'imagerie numériques, graphes et réseau seront largement traitées. Avant d'entamer les thématiques avancées de l’école qui touchent à la fois à la théorie, le numérique et les applications, nous prévoyons des cours introductifs de niveau Master accompagnés de TP autour de l'optimisation, l'image, les données et des logiciels de programmation. Des séances de TP encadrées seront organisées pour illustrer et mettre en œuvre certaines méthodes numériques des cours avancés.

Equations aux Dérivées Partielles. Tranport optimal. Traitement d'Images et Signal. Optimisation Théorique et numérique. Modélisation stochastique en imagerie numérique.

Courses and Events for Math Students and Early Career Researchers,    Courses and Events for Physics Students

Casa Matemática Oaxaca (CMO) in Mexico, and the Banff International Research Station for Mathematical Innovation and Discovery (BIRS) in Banff, Canada

Understanding the real solutions of polynomials or systems of polynomial equations is at the heart of many problems both in the realm of pure mathematics and in the mathematical modeling of networks in systems biology, in computer aided geometric design, or in the control of mechanisms. While there exist a lot of celebrated results (for example, bounds exploiting the signs of the coefficients of a univariate polynomial or bounds taking into account the number of terms), even some basic questions are still unsolved. There has been a recent explosion of activity in this area, where different tools have started to be connected in new and unexpected ways, such as tools from the theory of matroids, from fewnomial theory, or from convex algebraic geometry. This workshop will bring together experts from close but different areas in real algebraic geometry to collaborate and will lead to further progress (both theoretical and practical) on a number of problems on the real solutions of polynomials. Specific consideration is given on the problem of counting and bounding the number of real roots as well as on questions of stability.

Courses and Events for Math Students and Early Career Researchers,    Analysis

The conference "Differential Equations, Mathematical Modeling and Computational Algorithms" will be held in Belgorod, Russia.. The conference will be held online with the possibility of full-time participation in Belgorod on October 25-29, 2021. The meeting aims to ensure participation of world-leading experts in diverse areas of Differential Equations theory and applications. We also plan to attract a significant number of students and young researchers.

Applied Mathematics (in general),    Calculus, Differential Equations and Integration

ASME - American Society of Mechanical Engineers

The International Mechanical Engineering Congress and Exposition (IMECE) is ASME's largest research and development conference focused primarily on mechanical engineering, but encompasses perspectives from many engineering disciplines. IMECE is THE place for you to present your technical research and expertise, while also learning from and connecting with thousands of your peer researchers on a global level.

At IMECE you’ll experience stimulating innovation from basic discovery to translational application of new approaches and foster collaborations that engage stakeholders and partners not only from academia, but also from national laboratories, industry and government funding bodies. No other conference will provide you with more broad, but salient perspectives and knowledge-sharing on technical advances within mechanical engineering, than IMECE.

Mechanical Engineering, Acoustics, Vibration, Phononics, Advanced Manufacturing, Advanced Materials, Design, Processing, Characterization and Applications, Aerospace, Biomedical Engineering, Biotechnology, Dynamics, Vibration, and Control, Energy, Engineering Education, Fluids Engineering, Heat Transfer, Thermal Engineering, Safety Engineering

Mechanical engineering,    Engineering (general)

The Fields Institute for Research in Mathematical Sciences

Many biological species exhibit range shifts: some spread after being introduced into new environments, others follow their preferred climatic conditions under global change. Recent theoretical and empirical results highlight the importance of evolutionary change in these ecological processes. Specifically, they show that evolution can be the driving mechanism behind the range expansion of plants and animals, and that scientists may be underestimating how quickly species can move. However, the ecological and evolutionary processes involved in range expansions have mostly been studied separately, and despite recent advances in theory and experiments, making predictions about the speed of expansion is inherently difficult. The goal of this workshop is to convene mathematicians, modellers, and empiricists to exchange recent results on eco-evolutionary dynamics in species' range expansions and to develop novel mathematical frameworks to address important questions such as the relative contributions of ecological processes, evolutionary processes and environmental conditions on the speed and the variation in speed of range expansion.

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

NIT Durgapur

This international meeting mainly focuses on the modeling, optimization and control issues related to coal, geothermal energy, nuclear energy, petroleum exploration, petroleum refining, petrochemicals, renewable & clean energy, steel & allied industries and thermal energy.

Phone: [03432754086];     Email: esmoc2021@esmoc2013.in

Boiling; Bubbles; Cavitation; Chemical Reactors; Coal; Control laws; Condensation; Combustions; Computational techniques; Drops; Energy; Flow control; Fluid dynamics; Flow visualization; Heat transfer; Interfacial phenomena; Micro and Nano processes; Optimization; Multiphase flow; Measurement techniques; Modeling; Metallurgical Processes; Nuclear Reactors; Optimizations; Petrochemicals; Petroleum; Porous medium; Power; Refineries; Renewables; Scale-up; Simulations; Stability; Steel; Thermal processes; Transport processes.

Engineering (general),    Computational Physics and Numerical Simulation

The focus of WSC 2021 is on the design and innovation of smart cities through the use of simulation. Smart devices and sensors offer us an amazing opportunity to create our urban future where cities are safe, environmentally secure, green, and efficient and power, water, transportation work seamlessly towards this goal. This vision relies on significant advancement from simulation both in theory and practice as modelling, experimentation and data analysis needs to come together to tackle various challenges. We invite papers that highlight innovations in both simulation theory and applications, with a specific interest in the use of simulation in smart cities design, implementation, development and vision.

Applied Mathematics (in general),    Internet of Things (IoT) and Sensor Networks

MCO 2021 is co-organized by Computer Science and Applications Department (IA), LGIPM, University of Lorraine, France, Academy of Cryptography Techniques, Vietnam, Data science and Optimization of complex systems (DataOpt) Laboratory, International School, Vietnam National University, Hanoi, Vietnam, and Vietnam National University, Hanoi, Vietnam.

MCO 2021 will cover several fields of Management Sciences and Information Systems: Computer Sciences, Information Technology, Mathematical Programming, Optimization & Operations Research, and related areas. The conference should allow researchers and practitioners to discuss recent developments in models and solutions methods for decision making in Engineering and Information Systems.

The SAMO conference is devoted to advances in research on sensitivity analysis methods and their interdisciplinary applications. The SAMO conferences are held every three years. The aim of the SAMO conferences is to bring together users of sensitivity analysis in all disciplines of science. Sensitivity analysis methods are powerful tools in physics, operations research, chemistry, biology, engineering, environmental science, nuclear and industrial safety, economics and finance.

Probability and Statistics, Game Theory,    Scientific Computing

CIRM – Centre International de Rencontres Mathématiques

CONFERENCE

CIRM – Centre International de Rencontres Mathématiques

Probability and Statistics, Game Theory,    Operational research

CIRM – Centre International de Rencontres Mathématiques