Conference workshops

Description: Agenda 2030, adopted in 2015 by the United Nations General Assembly, is an integrated vision for the sustainable development of all the world’s populations. It is articulated into 17 Sustainable Development Goals (SDGs) towards which we must collectively strive. The International Year of Basic Sciences for Sustainable Development 2022 will put the spotlight on the links between the basic sciences and the Sustainable Development Goals. It will be a key moment of mobilization to convince economic and political leaders, as well as the general public, of their importance.
The 11th IC-MSQUARE will support a special session dedicated to Basic Mathematical Research that focus on Sustainable Development Goals.

Description: Real-time control of both distributed power generation and distributed power consumption requires less human involvement in the management of generators and more fully automated control. A major role in problems of operational, medium-term and strategic planning in power systems belongs to forecasts of the dynamics of main system state parameters. The workshop aims to join forces in development and implementation of advanced Smart Grid technologies and renewable energy utilization. Modern methods of detecting operation modes of electrical devices are based on the intellectual analysis of time series data, current and voltage spectrum dynamics etc. and forecasting their state in future Potentially, smart technologies make it possible to substantially reduce the costs for energy consumers by optimizing their consumption, make power production more cost-effective and environmentally friendly by bringing up the renewable energy sources generation, to improve the monitoring of energy distribution.

Description: Given the criticality of the coronavirus pandemic, there is a wave of interest in scientific modeling of the epidemic. Investigating the social, economic and political factors in the spread of a pandemic such as COVID-19 is crucial to those trying to predict the spread and severity of epidemics and what we can and cannot know. This workshop is aimed at anyone trying to understand and evaluate the usefulness of mathematical models to make a prediction that could play a key role in government policy-making, as well as a research strategy for pandemic diseases such as COVID-19.

Description: The knowledge of the Universe as a whole, its origin, size and shape, its evolution and future, has always intrigued the human mind. Galileo wrote: "Nature's great book is written in mathematical language." In this Workshop we aim at collecting some contributions to enforce this statement. All issues which touch upon these ideas will be considered, questions such as: Is our universe finite or infinite? Is the cosmological constant at all there? What drives the acceleration of the Universe expansion? Dark energy, but what is it? What are the different uses of zeta functions and other special functions of mathematical analysis in present day physics? Beautiful mathematics are key in dealing with those questions and in providing the bridge which is crucial to understand (or just describe, modellize) the Universe we live in.

Description: This workshop will focus on topics of complexity with special emphasis on complex networks and multiplex networks. Complex networks are studied in many diverse fields, such as mathematics, physics, biology, sociology, economics, and computer science. In recent years, the field has seen a tremendous growth. The session will focus on recent advances in the field and will include both theoretical and applied research in complex systems. Particular emphasis will be given to the interdisciplinary nature of complex networks. A wide range of topics will be covered, such as network structure and dynamics on networks, coupled networks, spreading, synchronization, visualization, algorithms, large-scale data analysis, as well as networks of interest to biology, sociology, computer science, economics, medicine, linguistics, etc.

Description: Many differential equations, which are of interest in the physical sciences and engineering, exhibit geometric properties that are preserved by the dynamics. Discrete Lagrangian integrators, as a special type of geometric integration, has been recent interest in developing numerical schemes that preserve as many of these geometric invariants as possible. Such methods are of particular interest for problems that can be described by geometric mechanics, wherein the preservation of physical invariants such as the energy, momentum, and symplectic form can be important when simulating long-time dynamics of such systems. The aim of the session is to bring together researchers in mathematics, computer science, physical sciences, and engineering, who are interested in the broad area of numerical methods (for ordinary differential equations to partial differential equations) that preserve the underlying structure of the governing differential equations.

Description: Computational nanoscience in particular and Computational Material Science in general, are rapidly developing fields providing computer simulational and theoretical background for understanding of nanoscale phenomena and nanotechnology research. Computational nanoscience overarches the whole spectrum of science including biology, physics, engineering, material science and chemistry, describing the behaviour of matter at the scale of individual atoms and molecules. This session will concentrate on novel computational approaches used in nanoscale research, including: Quantum Monte Carlo, Molecular Dynamics, Density Functional Theory, Time-Dependent Quantum Dynamics Simulations, Interaction of Nanoscale Materials and Laser Fields, Quantum Transport in Nanoscale Materials, Multiscale Modeling of Nanoscale Materials, Novel Computational Approaches, Electronic Structure Calculations and Attoscale Dynamics.

Description: The finite element method is presently consolidated as very reliable technique used to solve partial differential equations in several areas in science and engineering, like electrical engineering, Computational Fluid Dynamics, Biomedical Modeling, and others. More recently, methods based on domains of influence, instead of finite elements meshes are also developed, like Element Free Galerkin and Smoothed-Particle Hydrodynamics. In this workshop, works related to the mathematical aspects of these methods, as well as, applications several branches of the physical sciences will be presented.

Description: In this workshop, recent advances in the stochastic modeling and analysis of random phenomena are discussed. Many real world systems exhibit a stochastic behavior as a result of random influences or uncertainty. Examples of these type of stochastic dynamics occur throughout the physical, social and life sciences. Discussions on specific applications are also welcomed.

Description: Owing to masses of digital real-world data it is now possible to create and validate models of human behaviour. Of special interest are human activities connected to use of Internet - their habits, movements or likings. Simple models, basing on fundamental physical laws and phenomena can be of instant use in this case. The Workshop is also open to new techniques connected to data mining and statistics that can facilitate the process of models' input preparation as well as help to discover new non-trivial phenomena.

Description: The workshop especially organized for early stage researchers, doctoral and master students and provides a platform for

• young researchers to present and discuss on-going research
• industry professionals to present themselves and to meet with outstanding graduates, doctoral students and early stage researchers

Description: This Workshop contains all the submissions that have not been assigned in other specific Workshops. Upon the finalization of the Technical Program, submissions in the Core Workshop will be assigned to Presentation Slots according to their subject.