About the Journal
Advanced IntelliEngineering is a premier, peer-reviewed international journal dedicated to the transformative impact of Artificial Intelligence (AI) across critical engineering disciplines. As AI technologies transition from theoretical research to real-world deployment, this journal serves as a vital multidisciplinary platform for researchers, engineers, and practitioners to share innovative solutions, methodologies, and system architectures.
The journal focuses on the practical and scalable engineering applications of AI, specifically highlighting three fundamental pillars of modern society: Energy, Information, and Medicine. We seek high-quality original research articles, comprehensive reviews, and short communications that address complex engineering challenges using advanced AI techniques.
The scope of the journal encompasses, but is not limited to, the following core areas:
- AI in Energy Engineering Focuses on the integration of advanced artificial intelligence with geo-energy systems, subsurface engineering, and sustainable resource development.
- AI-Driven Geo-Energy Exploration & Production
- Intelligent Modeling of Subsurface Multiphysics
- AI-Enhanced Unconventional Resources Engineering
- Smart Enhanced Recovery & CCUS
- Geo-Energy Digital Twins & Data-Driven Paradigms
- AI in Information Engineering Focuses on next-generation computing architectures, interactive intelligence, and advanced data engineering.
- Embodied Artificial Intelligence (Embodied AI)
- Foundation Models & Generative Engineering
- Next-Generation Computing Architectures
- Spatial Computing & Metaverse Engineering
- 6G & AI-Native Networks
- Multi-Modal Data Fusion
- Knowledge Engineering & Information Retrieval
- Data Processing & Robust Algorithms
- Intelligent System Architectures
- AI in Medicine Engineering Focuses on the fusion of AI with bioengineering, pushing beyond traditional informatics to autonomous and generative medical solutions.
- Generalist Medical AI (GMAI) & Medical Foundation Models
- Healthcare Digital Twins & In Silico Trials
- Brain-Computer Interfaces (BCI) & Neuroengineering
- Surgical Robotics & Autonomous Interventions
- AI-Driven Drug Design & Synthetic Biology
- Medical Image & Signal Analysis
- Multi-Agent Systems in Healthcare
Target Audience: The journal provides a dynamic forum for an international audience of computer scientists, biomedical engineers, energy systems engineers, data scientists, and clinicians committed to advancing the frontier of applied artificial intelligence.