Aim
The basic aim of this journal is to provide platform for the researcher, innovators, scholars and students to share their research through worldwide with us. We promote research in all disciplines and the advancement of knowledge and understanding. This journal will provide a quality readable and valuable addition to the knowledge this will serve as resources for researchers along with to provide support to the scholars to enable them to undertake and disseminate their research and to help them for development of their own skills of reasoning and understanding. It is a peer-reviewed journal aspiring to publish high quality of original Research Articles, Review Articles, Survey Articles, Case Study, Technical Notes and Short Communication. The preference will be given to the research articles and articles which contains advance research concepts which will be helpful to the society.
Scope
IJARSMET which is cross boundaries between different faculties. IJARSMET is the place for exchange of information and research results within the following scope: (Not limited to below Topics Vist More ).
Smart Infrastructure & Intelligent Facilities Management
Artificial Intelligence & Machine Learning Governance
Renewable Energy Systems & Decarbonization Strategy
Operations Research & Supply Chain Optimization
Engineering Project Management & Agile Delivery
Data Science & Predictive Business Analytics
Biomedical Engineering & Healthcare Technology Management
Quantum Computing & Advanced Cryptography
Sustainable Materials Science & Circular Economy
Cybersecurity Architecture & Risk Mitigation
Robotics, Automation & Advanced Manufacturing
Systems Engineering & Complex Process Design
Environmental Science, Climate Modeling & ESG Compliance
Technology Commercialization & R&D Strategy
Autonomous Vehicles & Transport Systems Management
Biotechnology, Genomics & Synthetic Biology
Nanotechnology & Advanced Microelectronics
Cloud Architecture & Enterprise Data Governance
Human Factors Engineering & Organizational Psychology
Financial Engineering & Quantitative Risk Analysis