Aim & Scope

AIM: International Journal of Scientific Methods in Computational Science and Engineering is an internationally refereed, Peer-Reviewed Multidisciplinary Open Access journal having e- ISSN: XXXX-XXXX, published by the GSE Publications to promote High Quality Scientific Research Methods in Computational Science & Engineering. This journal promotes and publishes high-quality scientific methods, results of scientific research, original, expanded versions of previously published articles, theoretical or experimental findings, industry research and development works, results-oriented innovative works, significant, novel applications of established techniques, and recent developments in computational science & engineering, particularly its applications in electronics and communication, Computer Science and Engineering, Computer Science and Information Technology, Electrical and Electronics Engineering and all other interdisciplinary branches of Engineering and Technology. The aim is to discuss computational science's theory, applications, and design approaches as they relate to engineering, computer science, electronics, physics, biology, and life sciences, as well as the processes that underlie them.

SCOPE: This journal supports and publishes original, expanded versions of previously published articles, theoretical or experimental findings, industry research and development works, results-oriented innovative works, significant, novel applications of established techniques, and recent developments in computational science & engineering, particularly its applications in electronics and communication, computer science, and related fields. It is intended to address the theory, applications, and design methods of computational science as they apply to engineering, computer science, electronics, physics, biology, and life sciences, as well as the processes that underlie them. Subject areas include all the current fields of interest represented by the IJSMCSE technical committee of the GSE Publications in computational science &  engineering, and developing themes involving below topics but not limited to:

  • Modeling, algorithms and simulations in Biomedical Engineering
  • Computer and information science
  • Neural Networks
  • Connectionist Systems
  • Genetic Algorithms
  • Evolutionary Computation
  • Artificial Intelligence
  • Cellular Automata
  • Self-Organizing Systems
  • Soft Computing
  • Fuzzy Systems
  • Hybrid Intelligent Systems
  • Cloud Computing
  • Medical IoT
  • Blockchain
  • Cyber security and cryptography
  • Big data mining and applications
  • Data analytics algorithms and applications