The Ci-STEM Journal of Intelligent Engineering Systems and Networks is a prestigious interdisciplinary peer-reviewed international journal committed to disseminating significant and original research across a broad spectrum of research areas such as 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. In light of the anticipated profound impact of Intelligent Engineering Systems and Networks on various facets of daily life, Ci-STEM Journal of Intelligent Engineering Systems and Networks remains at the forefront of these evolving areas. This journal rigorously reports on both theoretical advancements and practical applications, ensuring comprehensive coverage of the latest developments. We welcome high-caliber, original, and unpublished research contributions from scholars and practitioners globally, aiming to foster innovation and progress within the engineering community.