Organizers: Prof. Ing. Martin Krejsa, Ph.D. 1) , Prof. Ing. Eva Kormaníková, Ph.D. 2) , Assoc. Prof. Ing. Katarína Tvrdá, Ph.D. 3)
1) Faculty of Civil Engineering, VSB – Technical University of Ostrava, Czech Republic,
2) Faculty of Civil Engineering, Technical University of Košice, Slovakia,
3) Faculty of Civil Engineering, Slovak University of Technology in Bratislava, Slovakia

Emails: martin.krejsa@vsb.cz, eva.kormanikova@tuke.sk, katarina.tvrda@stuba.sk

The main purpose of the Symposium “Recent Advances in Numerical Methods and Simulations in Statics and Dynamics of Structures” is the presentation of new methods to analyse of safety and reliability of the structures under extreme loads as the earthquake and climatic loads (temperature, wind, snow, and others), terroristic attack (aircraft, missile, blast, fire and others) or technology accident (explosion, fire, high temperature, overpressure, impact load and others). The nonlinear material and geometric behaviour of structures is necessary consider during extreme loads. The risk the structure collapse is determined by the model and resistance uncertainties. The deterministic and probabilistic analysis of the structure failure during the extreme loading can be used. The probabilistic assessment gives us the most complex analysis of the acceptable level of risk. Recently, the theories of probability and statistics and reliability have provided the bases for modern structural design codes and specifications.
The main objectives of the Symposium are developing:
 The advanced methods and simulations of structure failure under extreme loads,
 The nonlinear material and geometric model of structures and the effective numerical methods,
 The advances in the soil-base-structure or soil-fluid-structure interaction analysis under seismic loads,
 The experimental tests and the fluid simulation of the blast or extreme wind impact on structures with various shape,

 The optimization of the new composite materials or structure shape to have the higher safety of the structure under impact of extreme loads,
 The simulation probabilistic methods and the stochastic finite elements to probabilistic analysis of the structure resistance due to extreme loads,
 The risk analysis of the structure failure using the fragility curves of the structural elements for various type of accident or extreme loads,
 The reliability-based optimization procedures to consider of the effects of uncertainty by means of reliability, the applications involving optimal structural design for stochastic linear and nonlinear statics and dynamics.
 The experience from the experimental tests, modelling and simulations of the structure failure under extreme loads using the deterministic or probabilistic assessment were welcome.

Organizers: Prof. Antonio Esposito 1 , Prof. Giuseppe Mantegna 1 , Dr Carmelo Vindigni 1 , Prof. Filippo Masseni 2 .
1 Kore University of Enna, Via delle Olimpiadi, 94100 Enna, Italy.
2 Politecnico di Torino, Corso Duca degli Abruzzi 24, 10129 Torino, Italy

Emails: antonio.esposito@unikore.it, carmelorosario.vindigni@unikore.it, giuseppe.mantegna@unikore.it, filippo.masseni@polito.it

MPAS Symposium focuses on new results of aerospace science research carried out by using mathematical and computational techniques.
The aim of the Symposium is to collect relevant papers dealing with important approaches of applied and computational mathematics that have relevance to engineering in the field of Aerodynamics and Fluid dynamics, Propulsion, Materials and Structures, Aircraft and Spacecraft Systems, Flight Mechanics and Control, Aerospace Systems and Missions. Papers must be characterized by innovative models, methods and approaches that can found practical application to the engineering field or by new useful application of existing models to solve aerospace engineering problems.
The Symposium will be characterized by a multidisciplinary nature that, by means of a common need for mathematical and numerical models, can invite authors involved in the implementation and use of mathematical and computational approaches with applications in different aerospace science areas including, but not limited to: Adaptive Control, All-Electric Aircraft advancements, Fluid dynamics, Additive Manufacturing for Aerospace, Aviation Human Factor, Green Aviation, Aeroelasticity, Avionics, Noise control, Aircraft Design, Computational Fluid Dynamics, Optimization, Control and Identification, Aircraft Flight Control Systems, Computational Mechanics, Propulsion Systems, Aircraft Guidance Navigation and Control, Damage and Fracture Mechanics, Sensors and Actuators, Aircraft Maintenance and Failure Analysis, Digital Twins, Smart Structures and Materials, Aircraft Systems and Equipment, Flight Mechanics, Space Engineering and Technology, Aircraft Transportation, Flight Simulation, Space Exploration and Missions, Air Traffic Management, Flight Tests, Structures and Materials

Organizer:  Prof. Dunhui Xiao, School of mathematical sciences, Tongji University, Shanghai， P.R.China. 200092.  

Email: xiaodunhui@tongji.edu.cn

Deep learning and data science have shown great potential in many fields. Computational simulation or modelling is a very important area and plays an important role in science and technology. It also provides a fantastic tool to help us understand the world and It is urgent to apply the powerful data science into computational modelling to help us understand the world better. Recently, various data science technology has been applied into computational modelling such as data-driven modelling, digital twin, non-intrusive reduced order modelling, physical informed neural network, and so on.  

This symposium will bring together excellent researchers and experts worldwide to present and discuss recent developments of machine learning, AI, data science in computational modelling. 

Organizers: Igor Leite Freire, Departamento de Matemática, Universidade Federal de São Carlos, São Carlos, Brazil, 
Maria Luz Gandarias, Department of Mathematics, University of Cadiz, Puerto Real, Spain, 
Chaudry Masood Khalique, International Institute for Symmetry Analysis and Mathematical Modelling, Department of Mathematical Sciences, North-West University, Mafikeng Campus, Mmabatho, South Africa,  Mariano Torrisi and Rita Tracinà, Dipartimento di Matematica e Informatica, University of Catania, Italy.

Email: marialuz.gandarias@uca.es

Many physical phenomena in science and engineering are modelled by nonlinear differential equations. There is no doubt that Lie symmetry methods are one of the most effective set of techniques to find exact solutions of such nonlinear differential equations. They have been used by several scientists and applied to various nonlinear models in physics, biology, engineering, economics, etc.
The Lie symmetry methods identify and extend the concept of symmetry, produce an effective method of symmetry applications in difficult situations, give accurate statement of problems and in many cases show a possible way for finding their solutions.
We organize this session of applications of Lie symmetry methods to search for exact solutions of nonlinear models and to show recent progress of theoretic tools in Lie symmetry methods related to the study of nonlinear differential equations.

Organizers: David BASSIR, UBFC, UTBM, UMR–CNRS 7065, Rue de Leupe, 90010 Belfort Cedex, France, Centre Borelli, ENS – Université Paris-Saclay, 4 Avenue des Sciences, 91190 Gif-sur-Yvette, France, Jüri Majak, Tallinn University of Technology. Ehitajate tee 5, Tallinn, Estonia

Emails: david.bassir@utbm.fr, juri.majak@taltech.ee

Artificial Intelligence (AI )algorithms and tools find wide use in different research areas. Herein main focus is on development and application of AI algorithms for response modelling, design optimization, image processing, classification, etc. by utilizing simple feedforward and/or deep neural network architectures.

ORGANIZER: Prof. Dr. Rui Gomes Neves, Departamento de Ciências Económicas e Empresariais (DCEE) e CICEE – Centro deInvestigação em Ciências Económicas e Empresariais, Universidade Autónoma deLisboa, Rua de Santa Marta 47, 6º Andar, 1150-293 Lisboa, Portugal.

EMAIL: rneves@autonoma.pt

In contemporary science, technology, engineering, and mathematics (STEM), thedevelopment of knowledge is rooted in mathematical modelling processes that balanceelements of theory, scientific computation, and experimentation, both epistemologicallyand cognitively. However, many current STEM education curricula and learningenvironments still do not manifest this range of epistemological and cognitivecharacteristics, particularly in what concerns the integration of computationalknowledge and cognition in the learning-teaching processes, despite years of sustainedrecommendations supported by an increasing amount of scientific evidence. This Symposium is open to all interested in proposing contributions to improve this situation.

Topics include but are not limited to:

• STEM knowledge development and modelling paths.
• Conceptual understanding, mathematical reasoning and problem-solving. New approaches, curricula, or learning-teaching sequences.
• Interactive learning-teaching environments.
• ICT, multimedia, and scientific computation.

Teacher training and professional development.Contributing papers should be submitted by email to the Symposium Organizer untilJuly 1, 2025 (see guidelines at https://icnaam.org/papers.htm). Acceptance notices willbe scheduled for July 20, 2025.

Organizers: Luis M. Grilo, University of Évora (UÉ); Research Centre for Mathematics and Applications (CIMA), UÉ; Portugal

Emails: luis.grilo@uevora.pt

The aim of the symposium is to bring together researchers with different interests and experiences in all aspects of statistical models and data analysis. Researchers, academics, professionals, as well as students interested in these scientific areas are invited to submit original unpublished results for peer review for presentation (in person or virtually) and publication.
Applications with real data are particularly welcome, namely in Health Sciences, Natural and Life Sciences, Social and Human Sciences, and also in Economics, Engineering, Education, Sports and Tourism.

Organizers: Sandor Kristyan, senior reserach advisor, Research Centre for Natural Sciences, (HUN-REN RCNS), H-1117 Budapest, Magyar Tudósok körútja 2, Hungary

Email: kristyan.sandor@ttk.mta.hu, kristyan.sandor@ttk.hu

The SCF convergence part of the HF-SCF method has been replaced by finding the stationary points of the electronic energy functional with Lagrange multipliers for ortho-normality constraints – which is a 4th order multivariable polynomial of the LCAO coefficients and Lagrange multipliers – directly with the help of Groebner basis in Buchberger’s algorithm, an algebraic geometry device. One-determinant approximations of ground and excited states are calculated for some molecular systems in the demonstrations with different multiplicity. The relation of our algorithm to the KS-DFT algorithm is also commented.

Organizers: António F. Miguel , Complex Flow Systems Lab, Institute of Earth Sciences, University of Évora, Portugal, Murat Aydin, Ontario Tech University (UOIT), Oshawa, Canada

Emails: afm@uevora.pt, murat.aydin@ontariotechu.ca

Mathematical modeling is essential in efforts that focus on predicting, assessing, and controlling disease outbreaks. Since the pioneer paper of Daniel Bernoulli “Essai d’une nouvelle analyze de la mortalité causée par la petite vérole” dated 1766, where he showed that inoculation against the virus would increase life expectancy, huge developments and progress have been made. The most serious issue with a pandemic outbreak is its rapidly growing transmission rate across the world. Mathematical modeling and simulation allow for rapid assessment. They have the potential to trace and predict the epidemic trajectory under different scenarios but also to assess the impact of social distancing, use of face masks, etc..

Another topic of interest is the study of indoor viral bioaerosol transmission patterns have garnered significant interest due to their high potential for contamination. Understanding the propagation dynamics of these aerosols in enclosed spaces provides valuable insights into the mechanisms of their spread.

Topics covered include:

• Ordinary Differential Equations Epidemic Models
• Modeling aerosol dynamics and virus exposure
• Modeling multiphase flows in highly porous materials
• Computational Fluid Dynamics

Organizers: Mangiameli Michele, Department of Civil Engineering and Architecture (DICAR), University of Catania, Viale Andrea Doria, 6, 95125 Catania (Italy),
Mussumeci Giuseppe, Department of Engineering, University of Messina, Via Salita Sperone – c.da Papardo Cap: 98166, Messina (Italy),
Muscato Giovanni, Department of Electrical, Electronics and Computer Engineering (DIEEI), University of Catania, Viale Andrea Doria, 6, 95125 Catania (Italy),
Guastella Dario, Department of Electrical, Electronics and Computer Engineering (DIEEI), University of Catania, Viale Andrea Doria, 6, 95125 Catania (Italy),
Ragusa Maria Alessandra, Dipartimento di Matematica e Informatica, University of Catania,Viale Andrea Doria, 6, 95125 Catania, (Italy), maragusa@dmi.unict.it
Cappello Annalisa, Istituto Nazionale di Geofisica e Vulcanologia, Osservatorio Etneo, Catania, Italy;
Greco Filippo, Istituto Nazionale di Geofisica e Vulcanologia, Osservatorio Etneo, Catania, Italy;
Sutera Giuseppe, Department of Electrical, Electronics and Computer Engineering (DIEEI), University of Catania, Viale Andrea Doria, 6, 95125 Catania (Italy),
Pappalardo Giuseppina, Department of Civil Engineering and Architecture (DICAR), University of Catania, Viale Andrea Doria, 6, 95125 Catania (Italy)

Emails: michele.mangiameli@unict.it; giuseppe.mussumeci@unime.it; gmuscato@dieei.unict.it; dario.guastella@dieei.unict.it; annalisa.cappello@ingv.it; filippo.greco@ingv.it; giuseppe.sutera@unict.it; giuseppina.pappalardo1@unict.it

This Symposium is dedicated to the geomatics approaches used for surveying, monitoring, and mathematical modeling of the territory, both with classical techniques and innovative technologies, related also to natural and anthropic risk assessment. Geomatics approaches involve the use of the latest generation of laser scanners, UAVs (Unmanned Aerial Vehicles) or UGVs (Unmanned Ground Vehicles) and satellite technologies, for an enhanced monitoring of natural and built environment. Particular attention will be given to the use of free and open-source information technologies (GIS software and application, DBMS, photogrammetry, Remote sensing, etc.) and digital twin for the management of data acquired in the field. Results achieved with the help of photo-realistic simulation environments are welcomed as well. This session will allow attendees to review and share knowledge and experience about environmental monitoring and mathematical modelling, reinforcing the cooperation between applied mathematics, engineering, environmental and Earth sciences and remote sensing.

Organizers: Hiva Samadian, Department of Computing Sciences, University of Scranton, Scranton, PA 18702, USA, Farhang Daneshmand, Department of Mechanical Engineering, Penn State University-Scranton, PA 18512, USA

Introduction
Numerical analysis and applied mathematics play a crucial role in advancing scientific and engineering disciplines. The rapid evolution of computational techniques and mathematical modeling has enabled researchers to solve increasingly complex problems across a diverse array of fields, including physics, biology, finance, and engineering. As computational power continues to grow, so too does the potential for innovative methodologies that enhance our understanding and problem-solving capabilities in both theoretical and applied contexts.
This session, Mathematical and Computational Methods Across Science and Engineering, aims to bring together researchers and practitioners who are developing and applying cutting-edge mathematical and computational techniques to address real-world challenges. The session will serve as a platform for the exchange of novel ideas, methodologies, and applications that bridge the gap between mathematics and its practical implementations in science and engineering.
The research papers presented in this session have undergone rigorous peer review by our session organizers to ensure high-quality contributions that reflect the latest advancements in the field. By bringing together experts from various disciplines, we aim to foster interdisciplinary collaboration and inspire new approaches to solving scientific and engineering problems through mathematics and computation.
We look forward to engaging discussions and insightful presentations that highlight the importance and impact of mathematical and computational methods across diverse areas of research.

Objectives
We welcome contributions focusing on analytical and numerical techniques, algorithm development, and computational modeling, especially those providing new insights into solving complex systems. This session seeks to:

1. Facilitate knowledge sharing and collaboration among researchers and professionals working on mathematical and computational methods across scientific and engineering disciplines.
2. Showcase the latest advancements in analytical and numerical techniques, algorithm development, and computational modeling.
3. Provide a forum for networking and fostering partnerships that encourage interdisciplinary research and practical implementations.
4. Highlight the impact of mathematical and computational methods in solving complex systems across various scientific and engineering domains.
   

Session Topics
As a part of ICNAAM 2025, this session will cover a broad range of topics related to computational methods. The topics of particular interest include (but are not limited to):

• Advanced numerical methods for differential equations
• Optimization techniques in engineering and data science
• Computational fluid dynamics and multiphysics modeling
• Machine learning and artificial intelligence in scientific computing
• High-performance computing and parallel algorithms
• Mathematical modeling in biological and environmental sciences
• Uncertainty quantification and sensitivity analysis
• Applications of mathematical methods in industrial and financial engineering

Proposed Structure
If accepted, the session may include keynote talks, technical paper presentations, and a panel discussion to encourage both knowledge dissemination and interactive dialogue. A potential structure could include:

• Keynote Presentations by leading researchers in the field
• Technical Sessions featuring peer-reviewed papers
• Panel Discussion exploring future directions and interdisciplinary challenges

Call for Papers and Presentations
We invite researchers and professionals (by e.g., distributing announcements, reaching out by emails, etc.) to submit papers and presentations on mathematical and computational methods across science and engineering. Selected submissions will be presented in the technical sessions.
Sponsorship Opportunities
We invite organizations that are interested in sponsoring the session. Sponsors will have the chance to showcase their products and services while building relationships with experts in the field.
Conclusion
As part of ICNAAM 2025, the Mathematical and Computational Methods Across Science and Engineering session will offer an excellent opportunity for researchers and professionals to collaborate, exchange knowledge, and drive innovation in mathematical and computational methodologies. We look forward to your participation and support in making this event a success.

Organizers: Prof. Dr. Abel Rouboa and Prof. Dr. Eliseu Monteiro

Emails: rouboa@fe.up.pt, emonteiro@fe.up.pt

 Announcement: 

Energy is a fundamental resource that drives both economic growth and societal well-being. However, in today’s world, securing reliable, affordable access to energy is becoming an increasingly complex challenge, particularly in certain regions. The global energy landscape—spanning production, conversion, and consumption—is undergoing a profound transformation, making the efficient and sustainable conversion of energy more critical than ever before. Key issues such as optimizing conversion processes, ensuring reliable energy supply, improving storage solutions, and enhancing energy usage efficiency are at the forefront of this evolution.

As part of the Numerical Analysis and Applied Mathematics Conference, this symposium will focus on the innovative research and mathematical methods applied to energy conversion technologies. The goal is to assess, optimize, and innovate energy processes, contributing to broader sustainability goals by ensuring a balance between energy needs and environmental stewardship.

The symposium will highlight cutting-edge research in energy conversion, with a particular focus on thermochemical methods, water desalination, hydrogen production, and wind energy. Thermochemical processes, such as gasification, co-gasification, and supercritical water gasification, are leading the way in converting biomass and waste into valuable energy resources. These technologies not only enhance energy yield but also minimize waste and environmental impact. Additionally, water desalination technologies are emerging as vital solutions to address water scarcity, especially in regions facing water shortages, while simultaneously generating energy sustainably. Hydrogen production, an area of growing interest, provides promising solutions for storing and transporting renewable energy, contributing significantly to decarbonization efforts. Wind energy, with advancements in turbine technology, continues to play a central role in the transition to clean, renewable energy.

Join us for this stimulating symposium, as we explore the intersection of numerical analysis, applied mathematics, and energy innovations, paving the way for sustainable energy solutions for the future.

Organizer: Professor Jaroslav Kruis, Department of Mechanics Faculty of Civil Engineering Czech Technical University in Prague, Thakurova 7, 166 29, Prague 6, Czech Republic

e-mail: jaroslav.kruis@fsv.cvut.cz

Porous materials are a frequent subject of investigation in many areas of applied science and engineering, such as soil mechanics, rock mechanics, petroleum engineering, construction engineering, hydrogeology, geophysics or food science. The porous media analysis include, among others, natural (soils, rocks), artificial (concrete, ceramics) or biological materials (food products, wood). Physical and chemical phenomena occurring in porous materials can be described conveniently by mathematical modeling and subsequent numerical simulation of heat, mass and momentum transport and storage processes. This symposium brings together mathematicians, computer scientists, physicists, chemists, biologists and engineers working in the field of modeling, simulation, characterization and assessment of physical and chemical phenomena in porous materials.

Organizers: C. Koutsoumaris, NTUA, School of Applied Mathematics and Pfysical Sciences, Division of Mechanincs, Zografou, Greece

Email: kkouts@mail.ntua.gr

In recent decades, the systematic development and refinement of generalized continuum theories have provided a robust framework for modeling a broad spectrum of mechanical phenomena associated with material microstructure—phenomena that lie beyond the scope of classical continuum mechanics. Such theories have been instrumental in addressing pathologies like stress singularities at crack tips, anomalous wave dispersion, and size-dependent effects observed at the microscale. Among the most prominent frameworks are nonlocal elasticity, strain-gradient elasticity, micropolar and Cosserat elasticity, couple stress theory, and peridynamics. These formulations introduce higher-order kinematics, nonlocal interactions, and additional material length scales into the
constitutive structure, substantially enriching the predictive capability of continuum models. However, the resulting field equations are often of higher order or integro-differential in nature, posing significant analytical and computational challenges. This session focuses on advanced computational schemes and analytical methodologies tailored to the rigorous treatment of boundary value problems within the setting of generalized continua.

Organizer: Prof. Nicolae Herisanu, University Politehnica Timisoara, Bd. Mihai Viteazu, no.1, Timisoara, Romania

E-mail: nicolae.herisanu@upt.ro

Starting from the reality that there is always more to discover about nonlinear dynamical systems, this mini-symposium aims to bring together researchers concerned with applying the Optimal Homotopy Asymptotic Approach to nonlinear and strongly nonlinear dynamical systems from various fields of engineering. It is expected to be emphasized new developments and improvements of this approach with applications in classical mechanics, fluid mechanics, thermodynamics, nonlinear oscillations, electrical machines, and other engineering branches where nonlinear dynamical systems are involved.

Organizer: Raffaella Servadei, Università degli Studi di Urbino Carlo Bo, Dipartimento di Scienze Pure e Applicate, Piazza della Repubblica 13, Urbino (Italy)

email address: raffaella.servadei@uniurb.it

Nonlinear analysis is a powerful tool for studying a variety of phenomena arising in dfferent contexts such as, among the others, physics, mechanics, biology, chemistry, finance.
A very interesting area of nonlinear analysis lies in the study of local and nonlocal elliptic equations, both for the pure mathematical research and in view of concrete real-world applications.
Indeed, this type of problems arises in a quite natural way in different contexts, such as, among the others, the thin obstacle problem, optimization, finance, phase transitions, stratified materials, anomalous diffusion, crystal dislocation, soft thin films, semipermeable membranes, flame propagation, conservation laws, ultra-relativistic limits of quantum mechanics, quasi-geostrophic flows, multiple scattering, minimal surfaces, materials science, water waves, chemical reactions of liquids, population dynamics, geophysical fluid dynamics, mathematical finance (American options), jump Lévy processes in probability theory.
The current literature on these abstract tools and on their applications is, therefore, very interesting and, up to now, quite large.
The aim of this session is to present some recent results and future trends on local and nolocal problems and their applications, by leading together experts in this field.

Organizers: Prof. Tawfiq Chekifi, Renewable Energy Applied Research Unit (URAER), affiliated to the Renewable Energy Development Center (CDER). Ghardaia aadl 500 city, Algeria.

Email: t.chekifi@cder.dz

This session aims to unite researchers, applied mathematicians, and engineers to present and discuss cutting-edge numerical methods for modeling heat transfer and fluid dynamics in solar energy systems, with a focus on Concentrated Solar Power (CSP) tube receivers and water solar stills. These technologies, critical for renewable energy and water purification, involve complex thermal and fluid interactions, including conduction, convection, radiation, and single/multiphase flows. The session will highlight advancements in computational fluid dynamics (CFD), finite element/volume methods, and optimization
techniques to improve the design and efficiency of solar energy systems. Topics include:
 Numerical modeling of heat transfer in CSP tube receivers (e.g., molten salt, gas-based systems)
 CFD simulations of fluid flow and thermal performance in solar receivers and stills
 Multiphase flow modeling for evaporation and condensation in water solar stills
 Optimization of solar energy systems using computational tools
 Radiation heat transfer and solar flux distribution in solar applications
 Experimental validation of numerical models for solar energy systems
 Integration of renewable energy in thermal and fluid system modeling

Organizers: Gabriella Bognar and Krisztian Hriczo University of Miskolc, Miskolc-Egyetemvaros, Hungary 3515

Emails: gabriella.v.bognar@uni-miskolc.hu, krisztian.hriczo@uni-miskolc.hu

This symposium will bring together engineering mechanics practitioners to discuss computational and experimental aspects of fluid dynamics and fluid-structure interaction and provide a forum for discussing mathematical modelling of nonlinear phenomena, methods for solving boundary value problems of nonlinear partial and ordinary differential equations arising in science, and engineering applications, and the development and engineering applications of computational/experimental methods.

Topics of interest include:

modelling, solid mechanics, fluid mechanics, heat and mass transfer, boundary layer phenomena, multiscale methods, computational fluid mechanics, computational fluid-structure interaction, growth models, etc.

The symposium aims to bring together students, academics, and professionals in computational fluid mechanics and structural mechanics.

Organizers: Manal Alqhtani,  Department of Mathematics, College of Sciences and Arts, Najran University, Najran, Saudi Arabia.

E- mmalqahtany@nu.edu.sa

Khaled M. Saad, Department of Mathematics, College of Sciences and Arts, Najran University, Najran, Saudi Arabia, Department of Mathematics, Faculty of Applied Science, Taiz University, Taiz, Yemen

E-khaledma_sd@hotmail.com; kmalhamam@nu.edu.sa

To be announced

Organizers: Dina Tavares, ESECS, CI&DEI, Polytechnic of Leiria, CIDMA, University of Aveiro, Portugal, M. Teresa T. Monteiro, ALGORITMI Centre, Systems and Production Department, Engineering, School, University of Minho, Portugal, Vanda Santos, CIDTFF, University of Aveiro Portugal

Email: dina.tavares@ipleiria.pt; tm@dps.uminho.pt; vandasantos@ua.pt

This session aims to be an opportunity for professionals from different areas with multidisciplinary interests to discuss innovative practices in Teaching and Learning of Mathematics. Sharing diverse experiences and knowledge in innovative methodologies and technologies will raise awareness to the theme and promote the development of dialogic pedagogies.

Topics of interest include, but are not limited to:
–       Innovative methodologies in education;
–       E-learning and online education; 
–       Digital technologies in education;
–       Active Learning in math education;
–       New trends in assessment;
–       STEM Education;
–       Case studies on teaching and learning practices;
–       AI in math education.