Objectives and Scope
SYMCOMP 2027 elects as main goals:
- To establish the state of the art and present innovative applications and guidelines on the use of Numerical and Symbolic Computation in the numerous fields of knowledge;
- To promote the exchange of experiences and ideas as well as the dissemination of works developed within the wide scope of Numerical and Symbolic Computation;
- To encourage the involvement of youngsters in Research and the participation of young researchers in scientific conferences;
- To help promoting the knowledge sharing between ECCOMAS members and other scientific organizations members dedicated to computation, and to encourage new partnerships.
Topics of interest include, but are not limited to:
Computational Methods: Symbolic and Numerical Applications, Core Numerical Methods, Optimization and Inverse Problems, Evolutionary & Metaheuristic Algorithms, Uncertainty Quantification & Stochastic Modelling, Mathematical Modelling of Engineering and Science Systems, Nonlinear Problems;
Artificial Intelligence & Data Science: Machine Learning, AI-assisted Engineering Applications, Data Management & Big Data Analytics, Pattern Recognition & Computer Vision, AI Agents and Decision Making, Advanced and Emerging methods, Generative AI Applications;
Engineering & Applied Sciences: Computational Mechanics and Simulation, Fatigue, Fracture and Damage Mechanics, Structural Engineering, Smart Structures and Intelligent Systems, Fire Safety Engineering & Computational Thermodynamics, Computational Fluid Mechanics, Electrical, Electronic, and Control Engineering, Industrial and Manufacturing Engineering;
Industrial & Socio-Economic Applications: Computational Modelling in Economics & Finance, Knowledge Management and Innovation Systems, Industrial Processes Optimization, Digital Twins for Industrial Systems, Computational Healthcare & Life Sciences Applications, Cross-Cutting and Emerging Areas;
Educational & Software Tools: Educational Technology and Digital Tools; Computational Thinking and Modeling Skills, Software Systems, Software Tools for Education (e.g., Python, Julia, Mathematica, Maple, Magma, SageMath,…), Emerging Trends;
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