Call For Paper

Call for Paper

The ICAML-SA invites researchers, academicians, industry experts, and practitioners to submit original and high-quality research contributions. This conference serves as a global platform for presenting innovative ideas, exchanging knowledge, and fostering interdisciplinary collaboration.

Focusing on key research areas such as Computational Science, Data Science the conference aims to bridge theoretical advancements with real-world applications. It encourages forward-thinking research that addresses contemporary challenges while contributing to long-term scientific and technological progress.

Authors are invited to submit papers addressing, but not limited to, the following areas:

  • Applied machine learning in scientific fields
  • Case studies of ML in scientific research
  • Real-world applications of machine learning
  • Machine learning for experimental data analysis
  • AI techniques for scientific modeling
  • Data-driven decision-making in science
  • Machine learning for predictive maintenance
  • Applications of ML in environmental science
  • Machine learning in social science research
  • AI for optimizing scientific workflows
  • Challenges in applying ML to science
  • Ethics of machine learning applications
  • Machine learning for data-driven discoveries
  • AI in computational biology applications
  • Interdisciplinary approaches to applied ML
  • Machine learning for sensor data analysis
  • AI for enhancing research reproducibility
  • Future trends in applied machine learning
  • Collaborative research using machine learning
  • Machine learning for scientific visualization

Peer Review & Publication

The conference welcomes theoretical, empirical, and applied research contributions. All submissions will undergo a rigorous peer-review process by subject matter experts to ensure originality, technical quality, and relevance. Accepted papers will be presented and considered for publication in reputed journals and conference proceedings, providing global visibility to the authors.

Registration

Authors of accepted papers are required to complete the registration process to confirm their participation in the conference. Early registration is recommended to secure presentation slots and access all conference sessions.

Publication

Accepted papers will be considered for publication in reputed journals and conference proceedings, subject to review outcomes and editorial policies.