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About Conference

Conference Tracks

The Conference Programme Committee is calling for abstract submissions. To present your research at the conference your abstract must first pass a double-blind peer review. Upon payment of registration fees, your attendance at the conference will be confirmed.

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Submission Tracks

The Conference Programme Committee welcomes papers from a wide variety of interdisciplinary and theoretical perspectives, and submissions are organized into the Tracks and subtracks listed below:

Track 1 : Modern Advanced Computer Science and Emerging Technologies

  • 1. Internet of Things (IoT) and Smart Systems.
  • 2. High-Performance Computing.
  • 3. Artificial Intelligence and Machine Learning Applications.
  • 4. Cybersecurity and Privacy in Emerging Technologies.
  • 5. Blockchain Technology and Applications.
  • 6. Quantum Computing and Information Processing.
  • 7. Human-Computer Interaction and User Experience.
  • 8. Computer Vision and Pattern Recognition.
  • 9. Parallel and Distributed Computing.
  • 10. Computer-Aided Design and Manufacturing.

Track 2 : Mathematical Foundations and Algorithms in Computation:

  • 1. Numerical Analysis and Scientific Computing.
  • 2. Computational Algebra and Geometry.
  • 3. Computational Algorithms and Methods.
  • 4. Graph Theory and Network Algorithms.
  • 5. Machine Learning and Computational Mathematics.
  • 6. Symbolic Computation and Formal Methods.

Track 3 : Interdisciplinary Data Science and Statistics:

  • 1. Machine Learning and Predictive Modeling.
  • 2. Big Data Analytics and Computational Statistics.
  • 3. Data Visualization and Interpretation.
  • 4. Computational Approaches to Experimental Design.
  • 5. Data Ethics and Responsible Data Science.

Track 4 : Computational Physics and Data Simulation:

  • 1. Quantum Physics and Simulation.
  • 2. Material Science Simulations.
  • 3. Fluid Dynamics and Computational Fluid Mechanics.
  • 4. Computational Physics and Simulation.
  • 5. Nuclear and Biophysical Modeling and Simulations.

Track 5 : Educational and Biological Computing:

  • 1. E-Learning Technologies.
  • 2. Computational Social Sciences and Education.
  • 3. Computational Biology and Bioinformatics.
  • 4. Educational Technology for Computational Science.
  • 5. Computational Finance and Economics.