Aim:
The Computer Science Journal aims to provide a platform for researchers, academicians, and professionals to share cutting-edge advancements, innovative methodologies, and critical insights in the field of computer science. The journal focuses on fostering interdisciplinary collaboration and addressing contemporary challenges in computing and information technology.
Scope:
The journal covers a broad spectrum of topics in computer science, including but not limited to:
- Artificial Intelligence & Machine Learning – Deep learning, natural language processing, reinforcement learning, AI ethics, and applications in various domains.
- Data Science & Big Data Analytics – Data mining, predictive analytics, statistical modeling, and visualization techniques.
- Cybersecurity & Privacy – Cryptography, network security, blockchain technology, and digital forensics.
- Software Engineering & Development – Agile methodologies, software testing, DevOps, and programming paradigms.
- Cloud Computing & Distributed Systems – Edge computing, Internet of Things (IoT), and virtualization technologies.
- Computer Networks & Wireless Communication – 5G/6G networks, IoT connectivity, and network security.
- Human-Computer Interaction (HCI) & UX Design – User interface design, accessibility, and interaction techniques.
- Computational Biology & Bioinformatics – AI in healthcare, genomics, and medical imaging.
- Quantum Computing & Emerging Technologies – Quantum algorithms, quantum cryptography, and next-generation computing paradigms.
- Robotics & Automation – Autonomous systems, robotic vision, and AI-driven robotics.
- Ethics & Social Impact of Computing – AI governance, digital ethics, and responsible AI development.
The journal invites original research articles, review papers, case studies, and technical notes that contribute to the advancement of computer science and its practical applications. It seeks to bridge the gap between theory and practice, encouraging discussions that shape the future of technology.