Computational Science - ICCS 2025 Workshops

The 6-volume set constitutes the worshop proceedings of the 25th International Conference on Computational Science, ICCS 2025, which took place in Singapore, Singapore, during July 7 9, 2025.

The 137 full papers and 32 short papers presented in these proceedings were carefully reviewed and selected from 322 submissions. The papers are organized in the following topical sections:

Volume I:

Advances in high-performance computational earth sciences: numerical methods, frameworks & applications; artificial intelligence approaches for network analysis; artificial intelligence and high-performance computing for advanced simulations; and biomedical and bioinformatics challenges for computer science.

Volume II:

Computational health; computational modeling and artificial intelligence for social systems; and computational optimization, modelling and simulation.

Volume III:

Computational science and AI for addressing complex and dynamic societal challenges equitably; computer graphics, image processing and artificial intelligence; computing and data science for materials discovery and design; and large language models and intelligent decision-making within the digital economy.

Volume IV:

Machine learning and data assimilation for dynamical systems; and multi-criteria decision-making: methods, applications, and innovations.

Volume V:

(Credible) Multiscale modelling and simulation; numerical algorithms and computer arithmetic for computational science; quantum computing; retrieval-augmented generation; and simulations of flow and transport: modeling, algorithms and computation.

Volume VI:

Smart systems: bringing together computer vision, sensor networks and artificial intelligence; solving problems with uncertainty; and teaching computational science.

Machine Learning and Data Assimilation for Dynamical Systems. - Cluster-based Reduced-order Modelling and Control for Chaotic Systems with Extreme Events. - First Experiences on Exploiting Physics-Informed Neural Networks for Approximating Solutions of a Biological Model. - A Machine Learning System for Energy Forecasting with Feature Importance Analysis. - Latent Three-dimensional Variational Data Assimilation with Convolutional Autoencoder and LSTM for Flood Forecasting. - Online Model Learning with Data-assimilated Reservoir Computers. - Data-Assimilated Model-Based Reinforcement Learning for Partially Observed Chaotic Flows. - SHAP-prioritised Machine Learning for Diagnostic Grade Prediction of Lung Function. - Turn Detection in Alpine Skiing Using Smartphone Sensors. - Assimilation of Data for Dynamic Digital Twins by Learning Covariance Information. - Multi-Criteria Decision-Making: Methods, Applications, and Innovations. - Issues Importance Analysis for Reaching High-Quality Consensus in Preference-Based Conflict Scenarios. - Integrating Conflict Analysis and Rule-Based Systems for Dispersed Data Classification. - Multicriteria Framework for Digital Content Design and Evaluation in Cross-Generational Targeting. - Integrating Habituation Effects with UCB and Softmax Multi-Armed Bandit Algorithms for Optimized Digital Content Delivery. - Computational Risk Assessment in Water Distribution Network. - Preserving Informative Content of Condition Attributes in Data Transformations for CRSA. - Using SSP-VIKOR in Sustainable Share of Renewable Energy Sources Assessment. - Decision-Making of Homogeneous Multiple Classifiers Based on Attribute Characterisation by Discretisation. - New Multi-Criteria Approach to Sustainable Development Assessment. - Compromise Fuzzy Ranking: A Novel Method for Reaching Consensus in Complex Multi-criteria Decision Problems. - A New Approach to Large-scale Multi-criteria Group Decision-making Based on the RANCOM Method. - Towards Sustainable Decision Making: New Reference Point-Based MCDA Method. - An Adaptive RANCOM-ST Method for Bias Reduction using Statistical Thresholds. - Strong Sustainability Paradigm in TOPSIS Method: New Approach to Wind Farm Selection Problem. - Aspects of Implementing RPA in an IT Company. - Evaluating Sufficiency Practices for Sustainable Competitiveness using AHP-grey Analysis. - Actionable Fire Modeling in Firemap for Extended Attack Decision Support. - The Role of Preference Reidentification in MCDA: Comparing Weight-Based, Normalization, and Reference-Object Approaches. - Subjective Equal Criteria Influence Approach (SECIA): A Novel Extended Approach to Weights Determination. - Local Markovian Consensus for Ranking Aggregation: A Novel Approach to Consensus Ranking with Weak Ordinal Dominance.