Conferences and Meetings on Modeling and Simulation

Lake Como School of Advanced Studies

Many real systems can be modeled as networks, where the elements of the system are nodes and interactions between elements are edges. An even larger set of systems can be modeled using dynamical processes on networks, which are in turn affected by the dynamics. Networks thus represent the backbone of many complex systems, and their theoretical and computational analysis makes it possible to gain insights into numerous applications. Networks permeate almost every conceivable discipline —including sociology, transportation, economics and finance, biology, and myriad others — and the study of “network science” has thus become a crucial component of modern scientific education. The school “Complex Networks: Theory, Methods, and Applications” offers a succinct education in network science. It is open to all aspiring scholars in any area of science or engineering who wish to study networks of any kind (whether theoretical or applied), and it is especially addressed to doctoral students and young postdoctoral scholars. The aim of the school is to deepen into both theoretical developments and applications in targeted fields.

Complex Networks,    Scientific Computing and Data Science

T1: Modelling and Simulation T2: Product/Process Synthesis and Design T3: Large Scale Design and Planning/Scheduling T4: On Line Model Based Applications and Control T5: Concepts, Methods and Tools T6: Digitalization and Artificial Intelligence T7: CAPE Applications Addressing Societal Challenges T8: Education in CAPE and Knowledge Transfer

Operational research,    Multidisciplinary or General Events in Informatics

Stichting Chemische Congressen 6, The Netherlands

The 12th International Conference on Chemical Structures (ICCS) will take place in 2022. It will continue a well-established conference series that begun in 1973 as a workshop on Computer Representation and Manipulation of Chemical Information sponsored by the NATO Advanced Study Institute and thereafter was held under its new name every third year starting in 1987. The 2022 conference will build on the experience of the past successful editions to offer a strong scientific program which covers all aspects of cheminformatics and molecular modeling, including for example structure-activity relationships, virtual screening, modeling metabolite networks, etc. Participants discuss research as well as relevant technological and algorithm developments in handling and visualization of chemical structure data, workflows for complex cheminformatic analysis and machine learning. The conference fosters cooperation among organizations and researchers involved in the increasingly interwoven fields of cheminformatics and bioinformatics and combines in-depth technical presentations with ample opportunities for one-on-one discussions with the presenters.

Event Secretariat;     Email: ICCS2022@fu-confirm.de

Cheminformatics, Molecular similarity and diversity, Mining of chemical literature and patents, spectroscopy and structure elucidation, Reaction handling, Structure-Activity and Structure-Property Prediction, Consensus and federated methods, Assessment of uncertainties in predictive modeling Graphical methods for SAR analysis, Multi- and Many-objective optimization, Structure-Based Drug Design Advances in molecular dynamics and free energy calculation, Structure-based and rational drug design Modeling of protein-ligand and protein-protein recognition, Computer-assisted protein design/engineering Artificial Intelligence Approaches, Deep learning and sparse-data modelling, de novo generation Representation learning, Synthetic accessibility and retrosynthesis approaches, Analysis of Large Chemistry Spaces, Design, profiling, and comparison of compound collections, DNA Encoded Libraries (DEL) Advances in (low-, mid- and high-level) data fusion techniques, Findable, Accessible, Interoperable, and Reusable (FAIR) data, Dealing with Biological Complexity, Analysis and prediction of poly-pharmacology and selectivity, Advances in metabolomics, Nanoinformatics modelling, Natural product drug discovery

Physical (Theoretical) Chemistry, Computational Chemistry,    Genomics and Bioinformatics

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

As of September 28, 2020, 33 million Covid-19 cases have been reported worldwide. With one million deaths attributed to the deadly infection, the pandemic has not only killed a huge number, but also caused worldwide economic disruption. In the process, it has exposed our inadequate preparation and our inability to act promptly and decisively in response to a rapidly spreading novel virus. With an objective to prepare for the next pandemic, the focus of the proposed workshop will be on the scientific questions that emerged during the current Covid-19 crisis. The overall theme of the workshop can be broadly categorized into three intertwined topics: 1) a mechanistic approach to understanding the complex dynamics of novel viruses such as the SARS-CoV-2; 2) parameter inference and proper uncertainty quantification; and 3) design of optimal intervention and policy. The workshop will bring together different communities and foster new interdisciplinary collaborations. Most importantly, the workshop aims to train a cohort of young and diverse group of researchers into responsible scientists who will be better prepared for the next pandemic.

The conference is organized by the Optimization and Systems Theory Division at KTH Royal Institute of Technology.

The conference theme is mixed-integer optimization, but we warmly welcome a broader optimization audience.

Algorithm/solver development - Applications - Convex and nonconvex optimization - Deterministic/heuristic algorithms - Optimization theory - Continuous and discrete optimization

Numerical Analysis and Computational Mathematics,    Algorithms and Data Structures

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

Instituto Politécnico de Tomar

The purpose of the conference is to bring together researchers sharing an interest in a variety of aspects of statistics and its applications and offer them a possibility to discuss current developments in these subjects

Email: linstat@ipt.pt

estimation, prediction and testing in linear models, robustness of relevant statistical methods, estimation of variance components appearing in linear models, generalizations to nonlinear models, design and analysis of experiments, including optimality and comparison of linear experiments

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

The Minerals, Metals & Materials Society (TMS)

The NUMISHEET conference series gathers the most prominent experts in the area of numerical simulation of sheet metal forming processes and inspires an international exchange of ideas and discussions of the related technologies. The 2022 conference takes place in Canada for the first time and features technical and keynote programs, symposia, benchmark applications for comparing numerical predictions of the participants with experimental results, and a cultural excursions program.

Metallurgy and Materials Science,    Computational Physics and Numerical Simulation

Far Eastern Federal University, Amur State University

The International Workshop on Computing Technologies and Applied Mathematics (CTAM 2022) provides a forum for experts and researchers to exchange original results and valuable ideas in different aspects of using computing technologies and advanced methods of applied mathematics in science and engineering. The scope of CTAM 2022 covers aspects of various types of mathematical modeling and computer simulation (deterministic, stochastic, continuous, discrete, or hybrid based on differential equations of various types, automata, Petri nets, fuzzy logic, machine learning) for complex systems of different nature. A particular emphasis will be put on applications of optimization for large, nonsmooth, nonconvex, and other complex systems. Discussion talks that critically evaluate computing approaches, data processing strategies, software- and hardware applications in related fields are also welcome. All Workshop papers will be double-blind peer-reviewed by two expert reviewers.

Phone: [+79638168419];     Email: ctam@amursu.ru

computing technologies, applied mathematics, mathematical modeling, computer simulation, optimization, data processing, scientific computing.

Numerical Analysis and Computational Mathematics,    Scientific Computing and Data Science

International Center for Theoretical Sciences (ICTS-TIFR)

This program will focus on the model of first-passage percolation (FPP) --- a stochastic growth model --- and its close relatives. Stochastic growth models arise from physics and biology, and have been studied since the 1960s. Such systems address the behavior of growing interfaces, the spread of bacterial colonies, and the fluctuations of long chemical chains in a random potential.

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

The Fields Institute

The goal of this international workshop is to bring together leading researchers from different fields to report and communicate with each other about their current work on modeling population dynamics in ecology, environment, and epidemiology. The workshop will also provide a unique opportunity for graduate students and postdoctoral fellows to interact with leading researchers in these areas.

Institute of Applied Mathematics of Baku State University

The 8th International Conference on Control and Optimization with Industrial Applications (COIA-2022), will be held on 24-26 August, 2022 in Baku, Republic of Azerbaijan. The Conference is aimed to provide a forum where the researchers and students from academic environment and universities can meet the specialists from industry to share ideas to discuss recent results on all aspects of control and optimization with a wide range of applications. Plenary talks in COIA-2022 will be presented by well-known scholars.

Email: secretary@coia-conf.org

Control Theory, Optimization, Intelligent Systems, Fuzzy Control, Network and Telecommunications, Numerical and Computational Methods, Mathematical Modelling and Simulation, Applications in Industrial and Economics, Identification, Applications of optimization procedure in physical problems, Applications of Harmonic Analysis Techniques to PDE and Optimization

Systems theory, Control and Automation,    Applied Mathematics (in general)

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.

Operational research,    Probability and Statistics, Game Theory

CIRM – Centre International de Rencontres Mathématiques

Probability and Statistics, Game Theory,    Operational research

Lake Como School of Advanced Studies

Probability and Statistics, Game Theory,    Courses and Events for Math Students and Early Career Researchers

Society of Exploration Geophysicists (SEG)

The objective of the upcoming 2022 workshop is to share new insights and methods as well as addressing persistent challenges including: acquisition design limitations, waveform inversion, amplitude integrity, high-resolution near-surface modeling, and maximizing the integration of seismic and non-seismic data. In addition, it aims to leverage the advancements of digital transformation and sustainability as it applies to the near surface.

Geophysics and Geology,    Scientific Computing and Data Science

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

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

Technical University of Munich

The second international workshop on Mathematical Modeling and Scientific Computing (MMSC) dedicated to the memory of Nikolai Botkin (22.03.1956-14.09.2019) will be held from October 4th to 7th, 2022, at the Technical University of Munich. Nikolai Botkin made a significant contribution to the creation and mathematical analysis of mathematical models, the development of numerical methods and algorithms for optimal control of ordinary and distributed systems, elasticity theory, hydrodynamics, thermodynamics, and homogenization theory. The first workshop (November 19-20, 2020) was organized by the Technical University of Munich and approved by the DFG. It was held online because of Covid-19 situation.

The objective of the event is to create an interdisciplinary workshop, which brings together international experts working on mathematical models from various fields. These fields include control theory, material science, medicine, and aerospace, to name a few. Despite the different applications of mathematical models, the underlying concepts related to the modelling of complex processes and systems share many common features. The same holds for the application of scientific computing methods for the numerical implementation of the mathematical models. These methods nowadays constitute an integral part of the research task in applied fields. Topics such as parallel computing on high performance computer systems and the use of shared memory architectures are vital e.g. for the solution of partial differential equations arising in various fields. Rapidly developing technologies like machine learning methods became indispensable in data analysis. It is believed that bringing together experts from different fields will lead to new innovative ideas and create synergies between the scientific research topics.

Email: turova@ma.tum.de

Mathematical and computer modeling of physical and biological processes, Optimization, control and numerical methods for ODEs and PDEs, Computer technologies and data analysis in engineering and bioinformatics, High performance scientific computing for physical and biomedical applications

Scientific Computing and Data Science,    Numerical Analysis and Computational Mathematics

CIRM – Centre International de Rencontres Mathématiques

The Institute for Advanced Study in Mathematics (IASM) in Hangzhou, China

La Trobe University, Melbourne

This conference will precede the biennial Forum Mathematics for Industry FMfI2022 to be held at the same location 21-24 November.

Lublin University of Technology

The main objective of the CMES conference is the development of engineering sciences, numerical and experimental techniques, broaden experience, and good practices by representatives of the scientific community and industry. The conference allows the exchange of knowledge between different research domestic and foreign centres representing various fields of engineering science and technology.

Department of Organisation of Enterprise, Faculty of Management, Lublin University of Technology;     Phone: [+48815384410];     Email: contact@cmes.pl

Analysis of engineering processes, Application of computer programs in technology, Artificial and computational intelligence, Computational fluid dynamics (CFD), Computer simulations of processes and phenomena, Finite Element Method (FEM), Material properties and structure research methods, Production engineering and quality control, Technology management in energy acquisition processes.

Engineering (general),    Mechanical engineering

The aim is to train undergraduate, post-graduate, early-career and other international junior scientists from the fields of water and the environment, land surface science, water resources, ecology, hydrometeorology, biogeochemistry and other related research areas concerned with the delivery of next-generation land-surface and hydrological predictions. You will learn the technical skills to run JULES and standalone Hydro-JULES tools in order to investigate hydrological processes under current and future scenarios, understand how to use the technical features built in Hydro-JULES for collaboration in scientific projects.

Hydrology,    Computational Physics and Numerical Simulation

Institute for Pure and Applied Mathematics (IPAM)

For molecular systems we know the laws of physics to extreme precision. Yet, our ability to compute properties of these systems to numerical precision is very limited. This is mainly due to two sources of computational intractability: quantum mechanics and chaos. On one side, the accurate solution of the Schrödinger equation for large molecular systems is computationally prohibited. One the other side, even if we knew the forces exactly, the dynamical equations for the atoms would exhibit chaotic behaviour, which implies that, just as the weather, we have limited capacity to predict future trajectories. Some aspects of these systems remain predictable at a macroscopic scale, but they require completely different variables, such as pressure, temperature and entropy. We call this emergent theory thermodynamics.

In the completely different discipline of machine learning, a fairly similar phenomenon takes place. The microscopic variables of an image are given by its constituent pixel values. When we analyse the image with a deep neural network (DNN), we will detect edges in the first layer, corners in the next layer, then the object parts and finally, at the top of the neural network, entire objects. We understand the world at the “emergent” level of objects and their relations, not at the level of pixels and edges. In deep learning (DL) emergence happens automatically through learning and some inductive biases such as symmetries.

A major question we want to address in this workshop is whether we can apply the same learning paradigm to the field of molecular science to learn the correct emergent variables and dynamics.

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