4th CONFSEML

Computational Analysis and Modeling in Complex Intelligent Systems


Submission Deadline Notification of Acceptance Submission Email Download
June 19, 2026 7-20 workdays sympo_guildford@confseml.org Manuscript Template

Scope

The scope of this symposium includes any computational or mathematical approaches and methods that are applicable to questions involving intelligent systems. Such questions can focus on fundamental problems or causal processes that are relevant to a given topic. For instance, in the case of neuroscience, this could be on the architectural design or generative modelling. The application can be with regards to applications or fundamental science, to better understand the underlying functional factors, or derive explainable predictions.

We expect the participants to consider relevance for different research communities, and formulate the research in a language that can be communicated within interdisciplinary settings. If potential participants are unsure about the suitability of their research topic/approach, they are encouraged to contact the organizers via r.bauer@surrey.ac.uk. More information will be made available in the near future via the following link: https://www.combynelab.com/home/news/comosis2026

Topics

This symposium welcomes submissions with the following topics

Computer Applications

  • AI Architecture and Practice
  • AI Model and Algorithms
  • Artificial Intelligence in Modeling and Simulation
  • Artificial Intelligence in Scheduling and Optimization
  • Cloud Computing Architecture
  • Computer Vision and Object Recognition
  • Concurrent and Parallel Processing
  • Coordination in Robotics
  • Data Visualization and Modern Technologies
  • Distributed Intelligent Processing
  • Intelligence and Language
  • Intelligent Wireless Communications
  • Intelligent Wireless Sensor Networks
  • Internet of Things
  • Software Frameworks and Simulations

Meanwhile, submissions aligned with the overall conference scope are also welcomed.

Machine Learning

  • Data Mining in Heterogeneous Networks
  • Deep and Reinforcement Learning
  • Distributed and Decentralized Machine Learning Algorithms
  • Human-robot Interface and Interaction
  • Network Slicing Optimization
  • User Behavior Prediction
  • Machine Learning in Knowledge-Intensive Systems
  • Machine Learning Methods and Analysis
  • Mechanism Design and Applications
  • Mobile Sensor Networks
  • Modeling and Identification
  • Multi-agent Systems
  • Natural Language Processing
  • Pattern Recognition and Classification for Networks
  • Robotic Automation and Control

Software Engineering

  • Advanced Topics in Software Engineering
  • Computer-Supported Collaborative Work
  • Computer Graphics and Human-Computer Interaction
  • Decision Support
  • Distributed Computing
  • Knowledge-Based Systems and Formal Methods
  • Languages and Formal Methods
  • Managing Software Projects
  • Modeling Software Architecture
  • Multimedia and Visual Software Engineering
  • Quality Management
  • Search Engines and Information Retrieval
  • Software Engineering Decision Making
  • Software Engineering Practice
  • Software Maintenance and Testing
  • Web Engineering