Scope of the Journal
The Ci-STEM Journal of Intelligent Engineering Systems and Networks (CJIESN) is a prestigious interdisciplinary peer-reviewed international journal that publishes original research papers in the broad areas of AI Applications in Engineering and Quantum Computing and their allied disciplines. It is anticipated that CJIESN to have a substantial impact on the day-to-day lives of mankind in the coming years. Ci-STEM Journal of Intelligent Engineering Systems and Networks keeps abreast with the trends and developments in these technologies and reports both the theoretical and practical aspects of its subject of interest. CJIESN welcomes high-quality original unpublished research papers from all over the world in the following research areas, but not limited to:
Artificial Intelligence, Machine Learning, Quantum Computing, green AI, multimodal AI, Agentic AI, Deep Learning, Intelligent Sensing & Signal Processing, Computer vision, Speech Processing, Image Processing, Natural Language Processing for engineering systems, Cyber-Physical Systems (CPS) & IoT, embedded AI, Networking & Communications, 5G/6G Telecommunications, Software defined Networking, Network Virtualization and Optimization, Quality of Service, Quality of Experience, Networked Control. Robotics & Autonomous Systems, Human-Computer Interaction, Swarm Intelligence. Control & Optimization, Predictive Control, Distributed Control, Robust control, Stochastic Control, Convex and Non-Convex Optimization, Bio-inspired methods, Systems Architecture & Hardware, AI in VLSI, Heterogeneous System on Chip, Real-time Systems, Safety Critical systems, Data Systems, Analytics, Big Data, Streaming Systems, Security, Privacy & Resilience, secure protocols, Fault Tolerant Systems, Software & DevOps for Intelligent Systems, Blockchain for systems, Foundations of Quantum Computing , Computational Quantum Physics, Quantum computer simulations, Machine Learning for Quantum Many-Body Physics, Generative AI for Quantum Circuit Design, Quantum Algorithm Design, Optimization, and Complexity Analysis, Experimental Quantum Platforms, Devices, and Scalable Implementations, Explainable and responsible AI.
Applications of AI in Technical Education, Management, Mechanical Engineering, Chemical Engineering, Civil Engibneering, Electrical Engineering, Aerospace Engineering, Biomedical Engineering, Mathematics, Statistics, Life Sciences and Physical Sciences.