Themes

The term Soft Computing represents a collection or set of computational techniques in machine learning, computer science and some engineering disciplines, which investigate, simulate, and analyze the complex issues and phenomena. SocProS 2025 aims to bring together researchers, engineers and practitioners to present the latest achievements and innovations in the interdisciplinary areas of soft computing, to discuss thought-provoking developments and challenges, to consider potential future directions. One of the objectives of the conference is to encourage participation by young researchers; to this end student papers will be given special consideration.

Call for papers

The 13th International Conference on Soft Computing for Problem Solving is an interdisciplinary conference that aims to bring together researchers working in different areas of Soft Computing, Machine Learning and Artificial Intelligence.

Contributions are welcomed on all areas related to soft computing techniques like evolutionary and nature inspired algorithms, swarm intelligence algorithms, fuzzy systems in terms of theoretical development and applications in different domains.

Contributions are particularly solicited on this year’s theme, which include applications of soft-computing, AI and ML on the areas of: Healthcare, Agriculture, Defence, Supply Chain Management and Logistics, Smart Cities and other applications relevant to the theme of the conference.

All papers will be reviewed in a double-blind process and accepted papers will be presented at the conference.

Proceedings will be published in Springer (Approval is pending).

Keywords/Conference topics consist of the following but not limited to:

  • Agent-Based Modelling
  • Algorithmic Trading
  • Artificial Intelligence
  • Augmented Reality
  • Autonomous Vehicle
  • Bayesian Networks
  • Big Data Applications
  • Bio-informatics
  • Biometrics
  • Business Analytics
  • Cloud Computing
  • Cognitive Systems and Modeling
  • Data Analytics
  • Data Mining
  • Data Visualization
  • Deep Learning Models
  • Distribution and Supply Chain
  • Energy and Electricity Markets
  • Evolutionary Computation
  • Extreme Event & Natural Hazards Prediction
  • Financial Engineering
  • Fraud Detection
  • Fuzzy Sets & Granular Computing
  • Game Theory
  • Generative AI
  • Generative Adversarial Networks and Autoencoders
  • Health Care Analytics
  • High-Performance Computing
  • Human-Computer Interaction
  • Hybrid Intelligent Systems
  • Hyperspectral Imaging
  • Image and Computer Vision
  • Inductive Logic Programming
  • Infectious Disease Modelling & Prediction
  • Information Retrieval
  • Internet of Things (IoT)
  • Interpretability and Analysis
  • Knowledge Extraction
  • Machine Learning
  • Natural Language Processing
  • Neuro-Fuzzy Systems
  • Portfolio Optimization
  • Power System Optimization
  • Probabilistic Graphical Models
  • Recommender Systems
  • Recurrent Neural Network
  • Reinforcement Learning
  • Single and Multi-objective Optimization
  • Smart Agriculture and Precision Farming
  • Smart Grids
  • Smart Transportation System
  • Speech Processing
  • Structural Health Monitoring
  • Swarm Intelligence
  • Text Mining
  • Time Series Analysis
  • Wireless Sensor Networks