Special Session & Minisymposiums
There will be a General Session with speakers from different areas, as well as several MiniSymposiums and Special Sessions in specific subjects. You can submit a paper to the general session or to any of the miniSymposiums.

General Session
 Quantum and High Performance Computing (QHPC)
 Mathematically modeling the future Internet and developing future Internet security technology
 Computational Finance
 New Educational Methodologies Supported by New Technologies
 Numerical Methods for Solving Nonlinear Problems
 Mathematical Models for Computer Science
 From Clusters to Bulk Materials
 Fixed Point Theory in various abstract spaces and related applications
 Numerical Methods in Mathematics and Mechanics
 New advances in statistical methodologies
 Homogenization of Partial Differential Equations. Micromechanics. Elasticity and conductivity of composite materials
 Recent trends in the analysis and computations of nonlinear partial differential equations and systems
 Numerical Linear Algebra Methods for Large Scale Scientific Computing
 Mathematics, Science and Engineering Education
 Lie Symmetry Analysis and Conservation Laws for Nonlinear Differential Equations and Applications
 Processing, modelling, and describing time series
 Mathematics Education
 Mathematical Modeling and Numerical Simulation of Geophysical Flows
 Optimization Methods and modeling under Uncertainty
 Integral Methods in Science and Engineering
 HighPerformance Architectures for IoT Platforms
 Mathematical Models and InformationIntelligent Systems on Transport
 Mathematical and computational methods in chemistry – From molecular modelling to materials and environmental science
 Trends in the analysis and simulation of nonlinear partial differential equations and systems
 Research in Science, Technology and Mathematics (STM) Education
 Advanced Uncertainty Modelling in Science & Engineering (AUMSE)
 MiniSymposium on Mathematical Biology
 Dynamic Games
Minisymposiums:
Regular Session
There will be a General Session with speakers from different areas, as well as a number of MiniSymposiums and Special Sessions. You can submit a paper to the general session or to any of the miniSymposiums.
Minisymposiums:
 Quantum and High Performance Computing (QHPC)
 Mathematically modeling the future Internet and developing future Internet security technology
 Scalability for future internet architectures.
 Network models.
 Services for the Future Internet.
 Cloud Computing scalability, delay, quality, stability and management.
 Sensor/human/vehicular mobility in wireless/mobile networks.
 Mobility protocols used in wireless/mobile networks.
 Location management and handover used in Future Internet and wireless/mobile networks.
 Bandwidth allocation and resource scheduler used in Future Internet and wireless/mobile networks.
 Security protocol and access control management used in Future Internet and wireless/mobile networks.
 Signature and hashing techniques.
 Green networks.
 Connectivity and Communication Technology.
 Middleware for Smart Spaces and PAN.
 Multimedia Communication and Streaming.
 Computational Finance
 New Educational Methodologies Supported by New Technologies
 Development of new tools for education.
 Elearning.
 Social networks and education.
 PLE  Personal Learning Enviroment.
 Cooperative and Collaborative Learning.
 PBL  Problem Based Learning.
 Numerical Methods for Solving Nonlinear Problems
 Multipoint iterative methods (with or without memory)
 Steffensentype methods
 Highorder methods
 Iterative methods for singular problems
 Iterative methods for Banach spaces
 Dynamical studies of iterative methods
 Optimization problems
 Nonlinear wave problems
 Digital image processing
 Electromagnetic problems involving discretization of boundary problems, integral equations, initial value problems...
 Prof. J.R. Torregrosa, Instituto de Matemáticas Multidisciplinar, Universidad Politécnica de Valencia, Spain: jrtorre@mat.upv.es
 Dr A. Cordero, Instituto de Matemáticas Multidisciplinar, Universidad Politécnica de Valencia, Spain: acordero@mat.upv.es
Mathematical Models for Computer Science
 General operators useful in Computer Science
 Aggregation functions
 Aggregations for extensions of fuzzy sets
 Fuzzy sets and fuzzy logic
 Logic programming
 Rough sets
 Fuzzy rough sets
 Intervalvalued fuzzy sets
 Formal concept analysis
 Fuzzy measures and integrals
From Clusters to Bulk Materials
 Fixed Point Theory in various abstract spaces and related applications
 Fixed Point theory in various abstract spaces
 Existence and uniqueness of coupled/tripled/quadrupled fixed point
 Coincidence point theory
 Existence and uniqueness of common fixed points
 Wellposedness of fixed point results
 Advances on multivalued fixed point theorems
 Fixed point methods for the equilibrium problems and applications
 Iterative methods for the fixed points of the nonexpansivetype mappings
 Picard operators on various abstract spaces
 Applications to different areas
 Antonio Francisco Roldán López de Hierro , University of Jaén, Spain. afroldan@ujaen.es
 Juan Martínez Moreno , University of Jaén, Spain. jmmoreno@ujaen.es
 Numerical Methods in Mathematics and Mechanics
 Mihai Dupac, Faculty of Science and Engineering, Bournemouth University, UK
 New advances in statistical methodologies
 Distribution theory
 Asymptotic and nearexact distributions
 Estimation, Inference and Testing related issues
 Big data analysis
 High dimensional data analysis
 Extreme value theory
 Bayesian statistics
 Filipe J. Marques, Centro de Matemática e Aplicações, Universidade Nova de Lisboa, Portugal
 Carlos A. Coelho, Centro de Matemática e Aplicações, Universidade Nova de Lisboa, Portugal
 13. Homogenization of Partial Differential Equations. Micromechanics. Elasticity and conductivity of composite materials
 Carmen Calvo Jurado, Dpto. Matemáticas, Escuela Politécnica, Universidad de Extremadura, Spain
 Recent trends in the analysis and computations of nonlinear partial differential equations and systems
 Deterministic and stochastic models in sciences, engineering and economics.
 Discrete and/or continuous nonlinear systems.
 Existence and uniqueness of relevant solutions.
 Approximation theory.
 Numerical methods (finite differences, finite elements, finite volumes, quadrature methods, etc.)
 Efficiency, accuracy, stability, convergence analyses.
 Preservation of positivity, boundedness, convexity or monotonicity.
 Multiphysical and/or engineering applications.
 Matthias Ehrhardt, Bergische Universität Wuppertal, Germany
 J. E. MacíasDíaz, Universidad Autónoma de Aguascalientes, Mexico
 Tim Sheng, Baylor University, USA
 Numerical Linear Algebra Methods for Large Scale Scientific Computing
 Iterative methods and preconditioners for general linear systems
 Block preconditioners for saddle point linear systems
 Lowrank updates of preconditioners in eigenvalue computation.
 Algebraic multigrid methods
 Efficient approximations of functions of large matrices
 Luca Bergamaschi, Department of Civil Environmental and Architectural Engineering, University of Padua (Italy)
 Angeles Martinez, Department of Mathematics, University of Padua (Italy)
 Mathematics, Science and Engineering Education
 Use of robotics in primary and secondary Education
 Use of innovative and original techniques on science education
 Development of online tools for mathematics and engineering education
 Massive Open Online Courses
 Use of engineering techniques in primary and secondary Education
 Teaching programming languages in Primary and Secondary Education
 Ángel Alberto Magreñán, Universidad Internacional de La Rioja (Spain)
 Lara Orcos, Universidad Internacional de La Rioja (Spain)
 Lie Symmetry Analysis and Conservation Laws for Nonlinear Differential Equations and Applications
 C. M. Khalique, International Institute for Symmetry Analysis and Mathematical Modelling, Department of Mathematical Sciences, NorthWest University, Mafikeng Campus, Private Bag X 2046, Mmabatho 2735, South Africa
 M. S. Bruzón, University of Cadiz, Spain
 Processing, modelling, and describing time series
 Methods for processing time series represented as raw data
 Structures to represent time series
 Efficient modelling of time series
 Querying time series
 Linguistic description of time series
 Juan MorenoGarcia, University of CastillaLa Mancha, Toledo, Spain
 Luis RodriguezBenitez, University of CastillaLa Mancha, Ciudad Real, Spain
 Mathematics Education
 Teaching and learning of arithmetic and number systems, learning of measurement, algebra and early algebra, geometry, probability and statistics, calculus, discrete mathematics, etc.
 Reasoning and proof in Mathematics Education.
 Problem solving in Mathematics Education.
 Visualisation in the teaching and learning of mathematics.
 Mathematical applications and modelling in the teaching and learning of mathematics.
 Interdisciplinary mathematics education.
 Mathematics and creativity.
 Antonio Francisco Roldán López de Hierro, Department of Mathematics Education, University of Granada (Spain)
 María Magdalena Gea Serrano, Department of Mathematics Education, University of Granada (Spain)
 Mathematical Modeling and Numerical Simulation of Geophysical Flows
 Manuel J. Castro, University of Málaga (Spain)
 Jorge Macías, University of Málaga (Spain)
 Optimization Methods and modeling under Uncertainty
 Modeling of processes under uncertainty.
 Applications to Industry, Engineering and Economy.
 Efficiency in optimization under uncertainty.
 Computational methods in mathematical programming under uncertainty.
 Interval and fuzzy linear programming.
 Multiobjective mathematical programming under uncertainty.
 Fuzzy arithmetic.
 Optimality conditions with fuzzy numbers.
 Orders with intervals or fuzzy numbers sets.
 Manuel AranaJiménez, Department of Statistics and Operational Research, University of Cádiz (Spain)
 Carmen SánchezGil, Department of Statistics and Operational Research, University of Cádiz (Spain)
 Integral Methods in Science and Engineering
 Christian Constanda, Department of Mathematics, The University of Tulsa, Tulsa, Oklahoma, USA
 Paul J. Harris, School of Architecture, Technology and Engineering, University of Brighton, Brighton, UK
 Bardo E.J. Bodmann, Department of Mechanical Engineering, Federal University of Rio Grande do Sul, Porto Alegre, Brazil
 HighPerformance Architectures for IoT Platforms
 Parallel computing
 MapReduce
 Fault tolerance
 Supercomputing
 Big data
 HighPerformance Applications
 HighPerformance Applications
 Fusion Algorithms
 Smart city modeling
 Smart integrated grids
 Smart city simulation
 Intelligent infrastructure
 Open data and big data analytics
 Smart environments
 Smart education
 Smart health
 Intelligent vehicles
 Smart traffic system operations
 Smart home and smart buildings
 Smart manufacturing and logistics
 Fernando de la Prieta, University of Salamanca (Spain)
 Javier Prieto, University of Salamanca (Spain)
 Juan Manuel Corchado, University of Salamanca (Spain)
 Alfonso González Briones, University of Salamanca (Spain)
 Mathematical Models and InformationIntelligent Systems on Transport
 Mathematical modeling of complex systems
 Dynamical system on networks
 Traffic flow theory,
 Stochastic models of particle movements
 Asymmetric simple exclusion processes (ASEP)
 Numerical modeling
 Quantum calculus
 Supercomputing tools
 Valery Kozlov, member of Russian Academy of Sciences (RAS), Steklov Institute of Mathematics, Moscow, Russia;
 Marina Yashina, Moscow Automobile and Road Construction STU (MADI) and MTUCI, Moscow, Russia;
 Vladimir Tishkin, corresponding member of RAS, Keldysh Institute of Applied Mathematics, Moscow, Russia
 Mathematical and computational methods in chemistry – From molecular modelling to materials and environmental science
 Ian Hamilton
 Peter Schwerdtfeger
 Trends in the analysis and simulation of nonlinear partial differential equations and systems
 Deterministic and stochastic models in sciences, engineering and economics.
 Discrete and/or continuous nonlinear systems.
 Existence and uniqueness of relevant solutions.
 Approximation theory.
 Numerical methods (finite differences, finite elements, finite volumes, quadrature and multiscale methods, etc.)
 Analysis, numerics and applications of fractional systems.
 Efficiency, accuracy, stability, convergence analyses.
 Preservation of positivity, boundedness, convexity or monotonicity.
 Multiphysical and/or engineering applications.
 Machine learning for partial differential equations and systems.
 J. E. MacíasDíaz, Universidad Autónoma de Aguascalientes, Mexico
 Qin (Tim) Sheng, Baylor University, USA
 Research in Science, Technology and Mathematics (STM) Education
 Methodologies to improve the education
 Technology in education
 Quality of teachers, lecturers and professors
 Education goal in Science, Technology and Mathematics
 Science, Technology and Mathematics in Sustainable education
 Dr. Hasibun Naher, Associate Professor & Coordinator of Mathematics Program, Department of Mathematics and Natural Science, Bangladesh
 Advanced Uncertainty Modelling in Science & Engineering (AUMSE)
 Connections between Uncertainty Modelling and Machine Learning / Deep learning
 Uncertain or incomplete Data
 Optimization and optimal control under uncertainty
 Prediction/estimation under Uncertainty
 Rare events and Risk under uncertainty
 Remote Sensing and sensor data under uncertainty
 (non)Bayesian Stochastic models
 Uncertainty propagation
 Verification and validation under uncertainty
 Decision Theory under uncertainty
 Keivan Shariatmadar
Many scientific and engineering applications (in bioinformatics, astrophysics, computational chemistry, high energy physics,...) are continuously growing in demand of largescale computing hardware and software facilities.
Solving these problems effectively requires the development of sophisticated numerical methods which, in turn, are based on large amounts of data as well as extreme computing. More and more, Artificial Intelligence and machine learning tools and solutions, nowadays ubiquitous in our life, ask for even larger amounts of computing resources.
Furthermore, in the last few years Quantum Computing (QC) has become one of the most promising new technologies for HPC. For certain problems, quantum algorithms offer speedups, which can even be exponential, over what is possible with classical methods. Thus, it is natural to consider hybrid approaches in which classical and quantum algorithms complement each other, with QC acting as an accelerator of some tasks. Developing such algorithms is a challenging problem that demands multidisciplinary research both from the theoretical and practical points of view.
The purpose of this workshop is to bring together applied mathematicians, data and computer scientists and, in general, researchers with both complex applications and/or solutions with a fair knowledge/interest in Quantum Computing, High Performance Computing (HPC), Cloud, Big Data, hyperscale,... to present, share and discuss their problems, techniques, tools, solutions, and ideas on these topics. Research contributions on all those technologies (Parallel and Distributed Computing, Quantum algorithms, GPUs, ...) around all these topics are welcome.
A limited number of contributed talks will be selected for this workshop. Contributions should be submitted through the conference web site before the announced deadline and follow the instructions for authors for the general conference in their submissions. Only a selected set of papers presented at this workshop will be considered.
Organized: Quantum and High Performance Computing group at University of Oviedo (qhpc.uniovi.es) and Department of Information Computer Systems and Computation of University Politècnica de València
All aspects of the future Internet are welcome. Future Internet will involve a network with new structures that accept various requirements such as present and future broadband, scalability, security, quality, mobility, management, stability, ubiquity, and economical efficiency as the infrastructure with communication, broadcasting, computing, and sensors are united.
Interested topics but not limited to: Performance Modeling / Formal evaluation / Modal logic / Model checking / Theorem proving / Definition or design of:
Financial markets are becoming more and more complex with trading not only of stocks, but also of numerous types of financial derivatives. Options and Derivative securities account for more than half the modern market and the basic tools for risk hedging in any portfolio management. The development of mathematical models to understand the relationship among complicated financial instruments has enabled the proliferation of these instruments which enhance the efficiency of worldwide capital markets. With the rapid increase in sophisticated quantitative models employed in financial firms, it then follows that development of advanced computational techniques for the accurate evaluation of complex financial models have considerable financial worth in addition to constituting cutting edge research.
The main focus of the minisymposium is on the computational challenges facing the modern developments and to highlight recent advances on modeling and computation in quantitative finance. The minisymposium will contain talks presenting current state of the art of research in topics including, but not limited to, computation of derivative securities in high dimensions, stochastic volatility, transaction costs, regime switching, credit risks, jumps, and exotic options using PDE and Monte Carlo approaches which provide powerful tools and consistent frameworks for pricing and hedging complex derivatives.
Luis OrtizGracia,Universitat de Barcelona, Spain (luis.ortizgracia@ub.edu)
Iñigo Arregui, Universidade da Coruña, Spain(arregui@udc.es)
This minisymposium aims to offer a forum for discussion the interaction between educational methodologies and new technologies. Undoubtedly the use of new technologies has increased enormously the number of possibilities and teaching resources that professionals have at their disposal. Tools such as the digital briefcase, educational webs or the universally used social networks that only a few years ago were unthinkable, are nowadays usual and widely extended in education. However the use of these resources has also produced a great increasing in development of new tools and strategies giving rise to interesting technical developments and tools that enhance teaching and learning taks.
Topics in this mini symposium include, but are not limited to:
Different problems in science and engineering involve the solution of nonlinear equations (the study of dynamical models of chemical reactors, radioactive transfer, preliminary orbit determination, discretization of integral or partial differential equations, etc). Iterative methods play an important role in order to obtain approximated solutions of these kinds of problems.
During the last years, numerous papers devoted to the mentioned iterative methods have appeared in several journals. The existence of an extensive literature on these iterative methods reveals that this topic is a dynamic branch of the numerical studies with interesting and promising applications.
The aim of this session is to share new trends in the field of iterative methods fornonlinear problems.
Specific topics of interest include (but are not limited to):
This minisymposium is organized by:
Fundamental mathematical tools need to be developed in order to model interesting problems arisen in Computer Science. The purpose of this Special Session is to provide an international forum for presentation of recent results and advances in these important tools.
The not exhaustive list of topics includes:
Jesús Medina,University of Cádiz, Spain (jesus.medina@uca.es)
Manuel OjedaAciego, University of Málaga, Spain(aciego@ctima.uma.es)
Clusters often display structural and electronic properties that are very different from those of the bulk. Their properties can vary greatly in going from the smallest clusters of a few atoms to large sizes at the nanoscale. Obtaining a consistent description of the transition from small clusters to the liquid or solid state is a major challenge in computational chemistry and physics and will be addressed in this minisymposium.
Organizers
Prof. Ian Hamilton, Wilfrid Laurier University, Canada.  ihamilton@wlu.ca
Peter Schwerdtfeger  University in Auckland, New Zealand  p.a.schwerdtfeger@massey.ac.nz
Due to its possible applications, Fixed Point Theory in metric spaces has a key role in Nonlinear Analysis. In the last fifty years, discussing the existence and uniqueness of fixed points of single and multivalued operators in different kind of spaces (such as quasimetric spaces, pseudoquasimetric spaces, partial metric spaces, bmetric spaces and fuzzy metric spaces, among others) has attracted the attention of several researchers in the field of Nonlinear Analysis. The enormous potential of its applications to almost all quantitative sciences (such as Mathematics, Engineering, Chemistry, Biology, Economics, Computer Science, and other sciences) justify the great interest in this area.
The purpose of this workshop is to bring together Mathematicians, and also all researchers which might be interested in this topic, a forum to present, to share and to discuss their main advances in this area (ideas, techniques, possible results, proofs, etc.)
Topics in this mini symposium include, but are not limited to
This special sessions is organized by:
Advances in the study of numerical methods and software capabilities are leading to new challenges in computing and mechanical system modelling. The session should cover the use (and development) of numerical methods in mathematics and mechanical science including constitutive modelling for solid and structural mechanics, multibody system dynamics and equations of motion, structural and nonlinear control and modern vibrational methods. Contributions to novel and efficient numerical algorithms for different mechanical tasks and nonstandard engineering problems are welcomed.
This special session is organized by:
Statistical methodologies have been changing and new procedures have been arising in the last years. These new methodologies take advantage of the increasing computer power available in our days, and try to solve new challenges related, for example, with big data or high dimensional scenarios which appear in a wide variety of applied fields such as economics, medicine, biology and natural sciences. Some of these new techniques are an interesting and powerful combination of new results in distribution theory, inference and advanced computational techniques.
This session will focus on theoretical, applied or computational techniques, which separately or in combination, have made new and breakthrough contributions to a broad spectrum of statistical techniques and aims at highlighting these recent important methodologies.
The main topics covered are:
This special session is organized by:
The determination of effective physical properties of heterogeneous materials obtained by mixing different phases, usually on a very small scale is a widely studied problem in the physical sciences. Motivation comes from a number of areas, e.g. prediction of the overall behavior of ceramics and superconducting fibrereinforced or layered materials. Predicting exact fields is difficult due to the size of the microstructure. A number of different techniques have been devised to determine effective properties in both elasticity and conductivity contexts. Homogenization and micromechanic are some of them.
This special session is organized by:
The aim of this session is to provide an opportunity for researchers to meet and discuss recent progresses in the analysis and computational simulation of nonlinear problems arising in the sciences, engineering and economics. Both the determination of the qualitative features of solutions of nonlinear models and the analysis of numerical methods to approximate their solutions are of special interest. Papers that study the existence and uniqueness of solutions of nonlinear partial differential equations, systems as well as relevant features of solution spaces are especially welcome. Works which emphasize the rigorous analysis of computational techniques to simulate the dynamics of complex models in the sciences, engineering and economics are solicited for this special session.
The session will not make emphasis on particular mathematical modeling of nonlinear problems, but rather on the investigation of analytical features of the solutions of underlying problems and the analysis of approximation techniques to simulate them. Both deterministic and stochastic models arising in science, engineering and economics are considered, and pertinent applications to the resolution of practical problems are expected.
Topics in this session include (but are not limited to):
This special session is organized by:
Mathematical modelling of a large variety of engineering applications gives raise to the solution of linear and non linear systems of equations as well as eigenvalue problems. The matrices involved are often sparse and of very large size.
Development of linear algebra kernels is therefore crucial to efficiently address such problems both in sequential and parallel environments.
The main purpose of this minisymposium is to collect the most recent improvements in iterative and/or direct methods for the solution of the above mentioned linear algebra problems which arise e.g. from the discretization of Partial Differential Equations as well as optimization problems.
Topics in this mini symposium include, but are not limited to:
The session is organized by:
Education has changed along the years and new ICTbased teaching methods have gained visibility during the last two decades. Moreover, several online Universities have appeared in the last years and they are becoming more popular every day. As an example, just in Spain during the course 2013/2014, there were more than 220.000 online studies. This kind on online education is a new step in the evolution of Education but it needs new methodologies and different programs and tools to be developed. This fact is also affecting to primary and secondary education since teachers have to prepare young students to the new technologies. In the recent years, several programming languages and even different kind of robots for kids have been developed in order to allow them to learn this skills in an easier way.
Topics in this mini symposium include, but are not limited to:
The session is organized by:
Many real world problems are modelled by physically and mathematically interesting nonlinear differential equations which arise in various scientific fields such as economics, biology, fluid dynamics, physics, engineering, control theory, materials science, quantum mechanics, and in industry. The aim of this special session will be to report on recent developments in Lie symmetry analysis and conservation laws for solving such nonlinear differential equations. We are interested in highquality presentations that contain original research results. The work presented in this session will form a base for a forum that provides services for graduate students, post docs, and researchers in their applications of nonlinear differential equations.
Organizers:
TTime series are present in many common situations in life. For such reason, there is a great effort on research of this topic. Sometimes time series are treated directly as raw data using mathematical methods to obtain information from then. But, other approaches develop mathematical models to represent then. Time series are modelled to find patterns and/or to study trends in the series. These representations allow to find patterns and trends. Another relevant line of research is the description of the series using natural language. The aim of this special session is to provide an international forum the presentation of recent results in the research of this field.
The not exhaustive list of topics includes:
This Special Session is organized by:
This minisymposium is devoted to share and discuss the ideas on both theoretical and practical knowledge about approaches, problems, new trends, applications, technology, politics, proficiencies and standards in teaching and learning on Mathematics Education in primary school, high school and higher education.
The scope of this special session includes, but is not limited, to the following topics:
The session is organized by:
Modeling geophysical flows plays an important role in a wide range of problems in Geosciences. There is a growing need for advanced modeling and simulation in this field with endless applications, most of the times involving complex problems. These applications include lake, coastal and ocean flows, atmospheric flows, flooding, dam breaking, stormsurges or tsunamis, sediment transport, transport and dispersion of pollutant spills and many others. In the interdisciplinary enterprise of modeling such processes, mathematical modeling at appropriate scales is not possible without further developments in mathematical theory, probability and statistics, numerical approximations, and largescale computational algorithms. This modeling effort involves many different types of mathematical models and numerical techniques. From 3D Navier Stokes equations to shallow water models or multilayer approaches, including or not dispersion, turbulence, and other processes, solved by using finite volumes, finite elements, finite differences or DG methods, in structured or unstructured meshes or using mesh adaptation techniques, uncertainty quantification or data assimilation.
The aim of the present session is to facilitate communication between scientists of varying backgrounds, as applied mathematicians, numerical analysts, modelers or geophysicists, facing several aspects centered around the mathematical modeling and numerical simulation of geophysical flows, providing a forum in which advances in parts of the larger modeling picture can become known to those working in other parts. In particular, this should enable an enhanced exchange between various branches of applied mathematics with the geosciences, to ensure the dissemination of appropriate tools and methods, and fostering useful fundamental research in applied mathematics. These kinds of interactions are needed for meaningful progress in understanding and predicting complex physical phenomena in the Geosciences. Contributions dealing with novel algorithmic approaches and efficient computational procedures used in challenging geophysical flow applications are welcomed.
The session is organized by:
In the modeling of many processes in Industry, Engineering and Economy in order to make decisions, tt is not always possible to have the full information about the parameters and variables involved. So, an adequate uncertainty framework is necessary to formulate the model, and new methods have to be adapted or developed to provide optimal or efficient solutions in some sense.
The purpose of this session is to promote and show new and recent optimization methods applied to models in which some parameters and/or variables are considered under uncertainty. In this regards, the following topics are close.
The list of topics in this session includes, but not limited to:
The session is organized by:
This session is dedicated to the presentation by scientists and engineers of their most recent work based on analytic and/or numerical integration methods, in application to the study of models of reallife processes and phenomena. These include, inter alia, integral equations, boundary element techniques, asymptotic and perturbation procedures, conservation laws, signal processing and image analysis, all of which aim to promote mathematics as a linking tool between academia and industry
The session is organized by:
Technology is beginning to play a key role in the development of HighPerformance Applications and Supercomputing architectures. This is because new technologies can provide them with robust solutions that benefit differents areas on architecture and systems, algorithms, languages and programs, performance measures and methods, and applications of all aspects of Supercomputing. HighPerformance Applications aims to incorporate smart systems in their industrial, infrastructural, and social activities. IoT arquitecture is managed with intelligent technologies which improve the quality of the services offered to citizens and make all processes more efficient.
This workshop aims to explore the topic of HighPerformance Architectures for IoT Platforms and the different artificial intelligence techniques that can be employed in the development of architectures, IoT platforms or for the analysis of their data. Areas of interest include but are not limited to HighPerformance Architectures for IoT Platformes, fog/edge computing mechanisms, development of different types of applications and Cloud platforms, use of natural language processing (NLP) and information extraction techniques, sentiment analysis and other mechanisms for the conceptualization of data, deep learning systems, development of intelligent algorithms for different purposes (such as the development of machine learning capabilities for applications, or the detection of patterns and relationships between data within Big Data systems), social machines for the development of Decision Support Systems  DSS (based on hybrid algorithms that combine casebased reasoningCBR with mixtures of experts), etc.
The scope of this special session includes, but is not limited, to the following topics:
The session is organized by:
Currently, the research in the field of flows modeling of particles with motivated behavior on complex network is actively developing. The activity in this field is caused on the one hand by the the importance of such research for the applied areas connected with human safety (traffic flows, pedestrian flows, ecology, etc.), on the other hand, with new technical facilities of obtaining actual data due to rapid development of hardware and algorithms in information technologies.
The rapid growth of urban zones in the world, including road traffic and complex transport networks, cause problems of traffic jams (transport delays), safety, environmental pollution, etc. The influence of these factors on public health causes great concern. At the same time, the engineering needs of regulating such manmade systems were the motivator of the development of the mathematical theory of transport flows, the theory of cellular automata, the study of the properties of discrete and continuous dynamic systems, mathematical models of flows on networks with complex geometry, etc.
The development of information digital technologies, including BigData, initiates the development of mathematical models, coupled with a large computational work, and therefore requires the development of new algorithms that can effectively perform computational procedures on complex architectures of modern computational tools including supercomputers.
The minisymposium has both theoretical and practical aspects and will cover study topics in:
The minisymposium is organized by:
This minisymposium focuses on the development and use of mathematical methods and models for solving current problems in chemistry, physics, materials, and environmental science. This includes algorithm development, graph theory, chemoinformatics, and machine learning for predicting structures and properties, and any other mathematical applications useful for understanding our environment.
Organized by:
The aim of this special session is to provide an opportunity for researchers to meet and discuss recent progresses in the analysis and computational simulation of (integer or fractionalorder) nonlinear problems arising in sciences, engineering and economics. Both the determination of the qualitative features of solutions of nonlinear models and the analysis of numerical methods to approximate their solutions are of special interest. Papers that study the existence and uniqueness of solutions of nonlinear differential equations, systems as well as relevant features of solution spaces are especially welcome. Works which emphasize the rigorous analysis of computational techniques to simulate the dynamics of complex models in the sciences, engineering and economics are solicited for this special session.
The session will not make emphasis on particular mathematical modeling of nonlinear problems, but rather on the investigation of analytical Features of the solutions of underlying problems and the analysis of approximation techniques to simulate them. Both deterministic and stochastic models arising in science, engineering and economics will be considered, and pertinent applications to the resolution of practical problems are expected.
Topics in this special session include (but are not limited to):
Organized by:
The symposium is devoted to gather students, scholars, academicians, policy makers and professionals from different counties to discuss and share theoretical and practical issues and connect with the leaders, also highlight the recent advances in the field of education in Science, Technology and Mathematics.
The main areas of this symposium/workshop are as:
But the topics are not limited to the mentioned above.
Organized by:
The AUMSE disseminates information of permanent interest in the areas of analysis, theory, modelling, reasoning, design and control of (complex) systems in the presence of uncertainty. The AUMSE seeks to emphasize methods that cross stochastic analysis, modelling or computing under imprecise/statistical uncertainty. Topics of particular interest include representation and identification of uncertainty, uncertainty propagation, (non)Bayesian stochastic PDEs/ODEs, datadriven approaches for constructing stochastic models, validation, verification, reasoning and uncertainty quantification for predictive computational science, and visualization of uncertainty in highdimensional spaces. Bayesian and nonBayesian computation and machine learning techniques are also of interest for example in the context of stochastic/uncertain multiscale systems, for model selection/classification, and decision making. Applications of uncertainty modelling and reasoning in all areas of physical and biological sciences & engineering as well as Industry 4.0 are appropriate.
The area and domain of interest for AUMSE are as follows:
Organized by:
The field of Mathematical Biology is a fast growing subject worldwide. Aiming at the mathematical representation and modeling of biological processes, scientists with multidisciplinary research profile use applied mathematics techniques and tools addressing significant mathematical problems to answer fundamental questions of life sciences. It is inherently a difficult task and concepts from various fields of Mathematics, as well as availability of good data, are needed.
This minisymposium is devoted to recent advances in mathematical biology, with both theoretical methods and practical applications, exploring a range of topics, e.g., population dynamics, epidemiology of infectious diseases, ecoepidemiology, molecular and antigenic evolution and methodological topics in mathematics and natural sciences.
We invite you to contribute a presentation to our minisymposium aiming at mathematical biology audience of all career levels.
Organized by:
 Maíra Aguiar, Basque Center for Applied Mathematics, Basque Country  Spain
 Nico Stollenwerk, Basque Center for Applied Mathematics, Basque Country Spain
 Ezio Venturino, Turin University, Italy
The analysis and the mathematical modelling of systems where agents interact dynamically over time have been developed in the last years using a combination of techniques from Dynamical Systems and Game Theory. These tools can be usefully applied to a wide class of important problems (in social sciences, economics, biology…) and understanding the behaviour of their agents, whether they are rational players, markets, ecosystems, communication systems, etc.
This minisymposium aims to bring together world top researchers, practitioners, and students from the fields of Dynamical Games, Game Theory and applications to such areas as Biology, Economics, Engineering, Energy, Natural Resources, and Social Sciences.
Covered topics include dynamic games, stochastic games, differential games, evolutionary games, models of learning and evolution, repeated games, meanfield models, voting, auctions, matching, assignment games and other research areas of cooperative and noncooperative game theory, preferentially where dynamics play a role, as well as the associated applications in social, economic, life, physical and computer sciences.
This minisymposium is organized by:
 Alberto Pinto, LIAADINESC TEC and University of Porto
 José Martins, LIAADINESC TEC and Polytechnic of Leiria
Regular Sessions:
 Interpolation & Approximation
 Mathematical Modeling and Computational PDE
 Mathematics Models for Computer Science
 Optimization
 Analytical and Numerical solution of Differential Equations
 Computational Algebra
 Computational aspects of Dynamical Systems
 Computational Chemistry
 Computational Physics
 Computational Engineering.
 Computational Statistics.
 Numerical Linear Algebra.
 Industrial Mathematics
Besides these sessions there will be a general session. If you are unsure of where to include your article, please put it in the general session.