First issue, Vol. 1, No. 1 (January–June 2026), will be published in April 2026.
The Article Processing Charge (APC) is waived for submissions until 31 May 2026.
Aims and Scope
Aim of JACEI
The Journal of Advanced Computing and Engineering Intelligence (JACEI) aims to provide an international, peer-reviewed platform for high-quality research at the intersection of computing and engineering intelligence, fostering the development and dissemination of novel computational methods, intelligent algorithms, and engineering-oriented AI applications. It encourages interdisciplinary collaboration among computer scientists, engineers, and domain specialists to solve real-world problems, promoting innovation in algorithm design, engineering-scale implementations, and intelligent system architectures. JACEI seeks to bridge theoretical advances in computing with practical engineering solutions in automation, smart systems, and intelligent infrastructure, while supporting open, ethical, and reproducible research practices. By offering valuable insights and advancements to researchers, practitioners, and technologists worldwide, the journal aims to enable smarter and more efficient engineering solutions and contribute to the global body of knowledge through rigorous studies, reviews, and case studies that advance computing-driven engineering intelligence.
Scope of JACEI
JACEI welcomes submissions in (but not limited to) the following broad subject areas:
- Machine learning and deep learning algorithms applied to engineering problems (e.g. predictive maintenance, optimization).
- Artificial intelligence for control systems, robotics, and autonomous systems in engineering contexts.
- Intelligent signal processing, sensor fusion, and real‑time data analytics for smart systems.
- Embedded systems, edge computing, and IoT-based intelligent system design for engineering deployments.
- Computational modelling, simulation, and data-driven modeling for complex engineering systems.
- Smart infrastructure and intelligent system design (smart buildings, smart manufacturing, smart grids) using computing‑driven intelligence.
- Cyber-physical systems and systems integration of AI, computing, and engineering hardware/software components.
- Optimization, operations research, and intelligent decision-support systems for engineering & industrial applications.
- Computer vision, pattern recognition, and image/video analytics applied to engineering monitoring, quality control, and automation.
- Natural language processing, human‑machine interaction, AI‑driven interfaces for intelligent engineering systems.
- Big data analytics, data engineering, and data-driven engineering intelligence in domains like manufacturing, energy, transportation.
- AI for renewable energy systems, smart energy management, and intelligent environmental engineering.
- Cybersecurity, reliability, and safety for intelligent computing‑based engineering systems.
- Autonomous transportation systems, intelligent mobility, and smart infrastructure leveraging computing and engineering intelligence.
