As an interdisciplinary international conference this conference welcomes ideas outside of the box, interdisciplinary collaborations as well as new topics for research which may be outside of mainstream.

Conference Tracks

(It will of course welcome papers on but by no means restricted to in existing disciplines, e.g.)

Artificial Intelligence (A. I.)

  • A.I. in Music, Art and Leisure
  • Explainable A.I.

Computer Vision

  • Genetic and Evolutionary Computation
  • Machine Learning and Data Mining
  • Medical and Health Applications of Computers, Mathematical Algorithms and A.I.

Artificial Neural Networks

  • Deep Learning
  • Reinforcement Learning

Pattern Recognition

  • Fuzzy Logic, Learning Theory
  • Reasoning with incomplete data
  • Set Theory;
  • Probabilistic Approaches Computing Paradigms
  • Affective Computing

Computer Graphics

  • Biometrics
  • Aqua Farm
  • Low- Level Vision and Image processing

Motion and Tracking

  • Robotics
  • Phase Array Antennae
  • Applications of Radar
  • Statistical Methods
  • Testing and Performance Evaluation

Biomedical Image Analysis

  • Video Analysis and Event Recognition
  • Signal Processing
  • Support Vector Machine
  • Bayesian Belief Networks

Data Classification and Regression

  • Denoising
  • Functional Recovery
  • Interpretation and Approximation
  • Spectral and Area Based Methods
  • Data and Image Compression

Data Science and Big Data

  • Cloud Computing
  • High Performance Computing
  • Scalable Computing
  • Computations on GPU
  • Information Retrieval

Cyber Security and Privacy for Big Data

  • Cyber-attacks
  • Cyber Security

Knowledge Discovery, Integration and Transformation

  • Social Epidemiology, algorithms in Neuroscience
  • Neuro-psychoanalysis

Social Media, Social Network and Social Data

  • Classification of Diseases
  • Cladistics
  • Genomic Sequencing
  • Developmental Biology
  • Origin of Life

Financial Machine Learning and Data Mining

  • Financial Engineering & Economics Applications
  • Portfolio Optimization and Asset Allocation
  • Algorithmic and Quantitative Trading
  • Financial Data Analysis




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