International Conference on Computational Methods in Applied Sciences and Engineering
(ICCMASE - 26)

30th - 1st October 2026 Cascavel, Brazil (Hybrid Event)

Call for Paper

The ICCMASE is committed to addressing global challenges through impactful research and sustainable solutions. It brings together researchers dedicated to advancing knowledge for societal benefit. Focusing on Computational Science,Computer software and applications,Data Mining,Artificial Intelligence,Data Science, the conference promotes research aligned with global development goals and long-term sustainability. Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Computational Methods in Engineering Applications
  • Mathematics in Structural Analysis
  • Numerical Techniques for Differential Equations
  • Statistical Methods in Experimental Design
  • Mathematics in Fluid Dynamics
  • Computational Fluid Dynamics Applications
  • Mathematics in Material Science
  • Statistical Analysis in Engineering Research
  • Mathematics in Thermal Systems
  • Computational Techniques in Mechanical Engineering
  • Mathematics in Electrical Engineering Applications
  • Statistical Methods in Reliability Engineering
  • Mathematics in Control Systems
  • Computational Methods for Optimization Problems
  • Mathematics in Geotechnical Engineering
  • Statistical Techniques in Quality Control
  • Mathematics in Environmental Engineering
  • Computational Methods in Civil Engineering
  • Mathematics in Robotics Engineering
  • Statistical Analysis in Manufacturing Processes
Review & Publication

All submissions will be reviewed for their contribution to global impact and research quality. Accepted papers will be presented and considered for publication in reputed platforms.

Registration

Join participants from around the world by completing your registration and becoming part of a global research community.

Publication

Accepted papers will gain international exposure through conference presentations and publication opportunities.

Sponsored & Indexed by