Aims and Scope

The Journal of Computational Innovation and Analytics (JCIA) publishes original research in computational mathematics, applied mathematics, decision sciences, statistics, probability and uncertainty, computer science applications, and artificial intelligence, with particular emphasis on computational intelligence methods and their applications. The journal also welcomes studies involving computational modelling and simulation to analyze complex systems, investigate system behaviour, and generate predictions under varying conditions, particularly where analytical solutions are difficult or impractical to obtain.

The journal publishes articles related to the use of computational intelligence and broadly covers the following topics:

01
Core Discipline

Mathematics

  • Pure Mathematics
  • Applied Mathematics
  • Mathematical Modelling
  • Actuarial Mathematics
  • Fuzzy Theory and Applications
  • Algorithmic Information Theory
  • System Modelling and Control
02
Quantitative Methods

Statistics

  • Applied Statistics
  • Computational Statistics
  • Data Analytics
  • Time Series and Forecasting
  • Statistical Prediction
  • Data Visualization
03
Decision & Optimization

Decision Sciences

  • Decision Intelligence
  • Decision Support Systems
  • Optimization and Simulation
  • Queuing Theory
  • Game Theory
  • Network Analysis
  • Risk and Safety Analysis
  • Genetic Algorithms and Metaheuristics
  • Financial Technology Computation
04
Computational Intelligence

Computer Science Applications

  • Artificial Intelligence and Machine Learning
  • Deep Learning and Neural Networks
  • Explainable Artificial Intelligence (XAI)
  • Data Science and Data Mining
  • Signal and Image Processing
  • Pattern Recognition
  • Intelligent Information Retrieval
  • Cloud Computing
  • Internet of Things and Smart Environments
  • Human-Machine Interaction and Interfaces
  • Robotics and Real-Time Systems
  • Web Intelligence
  • Educational Technology (STEM)