Conferences and Meetings on Modeling and Simulation

The International Conference on Pattern Recognition Applications and Methods is a major point of contact between researchers, engineers and practitioners on the areas of Pattern Recognition and Machine Learning, both from theoretical and application perspectives. Contributions describing applications of Pattern Recognition techniques to real-world problems, interdisciplinary research, experimental and/or theoretical studies yielding new insights that advance Pattern Recognition methods are especially encouraged. Papers describing original work are invited in any of the areas listed below. Accepted papers, presented at the conference by one of the authors, will be published in the proceedings of ICPRAM with an ISBN. Acceptance will be based on quality, relevance and originality. There will be both oral and poster sessions. Special sessions, dedicated to case-studies and commercial presentations, as well as technical tutorials, dedicated to technical/scientific topics, are also envisaged: companies interested in presenting their products/methodologies or researchers interested in presenting a demo or lecturing a tutorial are invited to contact the conference secretariat.

Phone: [+351 265 520 185];     Email: icpram.secretariat@insticc.org

Neural Networks and Artificial Intelligence, Machine Learning,    Pattern Recognition and Image Processing, Machine Vision

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

The ORS and INFORMS Simulation Society

SW21 is the flagship showcase of simulation and modelling across industry and academia, providing both a great opportunity to celebrate developments in the field as well as a unique opportunity to collaborate extensively over a three-day period.

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

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

In recent years, big data has become a major challenge for the state of the art computational methods and algorithms that are used for extracting meaningful information. This dilemma stimulates the exchange of ideas necessary to generate new directions in big data inverse problems.This workshop intends to provide a platform for researchers from diverse backgrounds to discuss novel techniques for big data inverse problems with benefits to various fields of data science.

Courses and Events for Math Students and Early Career Researchers,    Information & Knowledge Management, Big Data Computing

CIRM – Centre International de Rencontres Mathématiques

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

The mathematical description of the behaviour of typical fluids, like water at room temperature, was one of the great scientific breakthroughs of the 19th century. Understanding and applying the equations that describe these fluid drove many developments in mathematics for the next 100 years. Later, with the advent of modern computing, new fields of mathematics emerged devoted to designing algorithms to simulate these flows. This simulation capability has revolutionised many fields of engineering: no car, aeroplane, bridge, or stent is built without it.

Courses and Events for Math Students and Early Career Researchers,    Mechanics, Rheology and Tribology

Physikzentrum Bad Honnef

Today we are witnessing a new wave of research which is revitalizing Chaos Theory, by finding new applications of the theory in climate science, power-grid planning, and quantum computing.

The school will give young researchers an opportunity to learn about new directions and applications of the theory; it will help them to orient in the multi-facet world of Chaos and plan their research paths in academia. The topics of the school are very relevant to the future professionals in industry sectors such as IT and financial analysis, where the expertise in modelling of complex phenomena is highly demanded.

Phone: [+49 2224 9010113];     Email: gomer@pbh.de

chaos theory (classical and quantum), complex systems, nonlinear dynamics, physics of biological and socio-economic systems

Complex Systems, Chaos and Self-Organisation,    Applied Mathematics (in general)

The global aim of the conference is to bring together national and international researchers in probability and related fields. It will provide an opportunity for exchanging ideas and discussing recent results and new trends in a wide range of research areas: probability, mathematical statistics, theory of stochastic processes and fields, fractional and multifractional processes, fractal analysis, stochastic analysis, stochastic differential equations, stochastic models of evolution systems, stochastic reliability theory, information security, queueing theory, risk processes, actuarial and financial mathematics.

Probability and Statistics, Game Theory,    Mathematical Economics and Finance

CIRM – Centre International de Rencontres Mathématiques

Mathematical Physics,    Scientific Computing

Michigan Technological University, Houghton, Michigan

The primary focus of the proposed parallel-in-time workshop 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 study of nonlinear and dynamical systems has emerged as a major area of interdisciplinary research and found very interesting applications. This conference is intended to provide a widely selected forum among Scientists and Engineers to exchange ideas, methods, and techniques in the field of Nonlinear Dynamics, Chaos, Fractals and their applications in General Science and in Engineering Sciences. The principal aim of Chaos2021 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. Chaos2021 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.

An International Conference on Non Linear Analysis and Modeling: Theory and Applications

University of Delaware, Newark, DE

The GSMM Camp is a weeklong workshop directed towards interdisciplinary problem solving whose aim is graduate student education and career development. The GSMM Camp is designed to promoted a broad range of problem-solving skills, including mathematical modeling and analysis, scientific computation, and critical assessment of solutions. The mathematical problems considered at the Camp are highly interdisciplinary in nature and are inspired by real problems that arise in industrial applications. Graduate students work on the problems in teams, guided by an invited faculty mentor, so that scientific communication is an important and integral component of the work. As a result, the GSMM Camp exposes graduate students to real-world problems of current scientific interest, and provides a valuable educational and career-enhancing experience outside of the traditional academic setting.

CIRM – Centre International de Rencontres Mathématiques

Mathematical Physics,    Mechanics, Rheology and Tribology

MathSport International organizes biennal conferences dedicated to all topics where mathematics and sport meet.

econometrics in sport; optimal tournament design and scheduling; competitive strategy; match outcome models; decision support systems; analysis of sporting technologies; analysis of rules and adjudication; performance measures and models; optimisation of sports performance; mathematics education and sport; computationally intensive methods; financial valuation in sport.

The aim of the conference is to bring together interested researchers from Constraint Programming (CP), Artificial Intelligence (AI), and Operations Research (OR) to present new techniques or applications and to provide an opportunity for researchers in one area to learn about techniques in the others. A main objective of this conference series is also to give these researchers the opportunity to show how the integration of techniques from different fields can lead to interesting results on large and complex problems. Therefore, papers that actively combine, integrate, or contrast approaches from more than one of the areas are especially solicited. High quality papers from a single area are also welcome, if they are of interest to other communities involved. Application papers showcasing CP/AI/OR techniques on novel and challenging applications or experience reports on such applications are strongly encouraged.

EURO Working Group on Stochastic Optimization (EWGSO) | Department of Economics - Ca’ Foscari University of Venice

This joint event will provide a forum for fruitful discussions and interactions among researchers and professionals from industry and institutional sectors on decision making under uncertainty in a complex world. The conference will be within the scopes of both CMS and EWGSO and, in particular, it will focus on models, methods and computational tools in stochastic, robust and distributionally robust optimization and on computational aspects of management science with emphasis on risk management, valuation problems, measurement applications. Traditional fields of application, such as finance, energy, water management, logistics, supply chain management, and emerging ones, such as healthcare, climate risk and sustainable development, will be included.

Operational research,    Systems theory, Control and Automation

Society for Industrial and Applied Mathematics (SIAM)

The SIAM Conference on Optimization will feature the latest research on the theory, algorithms, software, and applications of optimization. A particular emphasis will be put on applications of optimization in AI and data science, quantum computing, health care, finance, aeronautics, control, operations research, and other areas of science and engineering. The conference brings together mathematicians, operations researchers, computer and computational scientists, engineers, software developers and practitioners, thus providing an ideal environment to share new ideas and important problems among specialists and users of optimization in academia, government, and industry.

This is the meeting of the SIAM Activity Group on Optimization.

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

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

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

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)

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

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

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

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

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.

CIRM – Centre International de Rencontres Mathématiques

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