Aim and Scope
International Journal of Computer Science and Engineering (IACSE-IJCSE) aims to foster the growth of high-quality research in all areas of computer science and engineering. The journal provides an open platform for scholars, practitioners, and industry experts to share knowledge, promote innovation, and advance theoretical and applied aspects of computing. Its mission is to bridge the gap between research and practice by encouraging the dissemination of significant findings that contribute to the development of future technologies and digital systems.
Scope
The International Journal of Computer Science and Engineering (IACSE-IJCSE) publishes original research, survey papers, case studies, and technical reports that explore the foundations, development, and application of computing systems. The journal welcomes interdisciplinary work that intersects with information technology, engineering, applied mathematics, and computational sciences. It supports contributions ranging from theoretical investigations to practical implementations, with a focus on emerging trends, innovative algorithms, system architectures, and software engineering practices.
Subject Areas
Topics of interest include, but are not limited to:
• Algorithms and Data Structures
• Artificial Intelligence and Machine Learning
• Software Engineering and Software Testing
• Computer Networks and Distributed Systems
• Internet of Things (IoT) and Cyber-Physical Systems
• Cloud Computing and Virtualization
• Data Science and Big Data Analytics
• Human-Computer Interaction (HCI)
• Computer Vision and Image Processing
• Embedded Systems and Real-Time Computing
• Operating Systems and System Programming
• Mobile Computing and Wireless Communication
• Robotics and Autonomous Systems
• Blockchain and Decentralized Technologies
• Natural Language Processing (NLP)
• Computational Theory and Formal Methods
• Parallel and High-Performance Computing
• Information Retrieval and Web Technologies
• Security and Privacy in Computing
• Bioinformatics and Computational Biology