Journal aim
The core aim of Nexus International Journal of Engineering and Science (NIJES) is to advance research and technological innovation across the multifaceted domain of Computer Science (Miscellaneous). The journal emphasizes forward-looking studies where intelligent algorithms, scalable computational architectures, and robust software systems drive innovation in emerging computing paradigms, modern technology infrastructure, and multidisciplinary applications.
Research areas
The journal welcomes contributions across diverse, cross-disciplinary computational areas, including:
- Artificial Intelligence & Machine Learning: Deep learning, computer vision, natural language processing, federated learning, and explainable AI (XAI).
- Data Science & Big Data Engineering: Scalable data pipelines, high-performance predictive analytics, and knowledge graphs.
- Distributed Systems & Cloud Computing: Edge/fog computing, microservices, containerization, serverless architectures, and decentralized networks.
- Cybersecurity, Privacy & Blockchain: Cryptographic protocols, network security, zero-trust architectures, and smart contract verification.
- Internet of Things (IoT) & Embedded Architectures: Smart sensing, cyber-physical systems, hardware-software co-design, and real-time computing.
- Software Engineering & Methodologies: Agile testing frameworks, automated verification, DevOps paradigms, and human-computer interaction (HCI).
- Interdisciplinary & Applied Computing: Biomedical informatics, computational healthcare, intelligent transportation, and smart industrial automation.
Types of manuscripts accepted
- Original Research Articles: Full-length technical papers presenting novel algorithms, theoretical computational developments, comprehensive experimental evaluations, or end-to-end system and software implementations.
- Review & Survey Articles: Critical, in-depth evaluations of emerging computational methodologies, open research problems, and structured taxonomies across modern computer science and multidisciplinary computing domains.
- Industrial Case Studies: Rigorous validations, performance benchmarks, and deployment analyses of intelligent software architectures, scalable data pipelines, and computational frameworks deployed in real-world industrial or enterprise environments.
- Short Technical Notes: Focused, compact papers presenting innovative algorithmic enhancements, preliminary experimental proofs-of-concept, or novel software utilities demonstrating clear methodological originality, analytical rigor, and practical implementation value.
Submission assistance
Read the author guidelines and download the manuscript template before submitting.
For editorial enquiries or submission assistance, email editor@nijes.org or nijeshjournal@gmail.com.