International Journal of Artificial Intelligence & Applications (IJAIA)

Citations, h-index, i10-index of IJAIA

Scope and Topics

The International Journal of Artificial Intelligence & Applications (IJAIA) is a bi monthly open access peer-reviewed journal that publishes articles which contribute new results in all areas of the Artificial Intelligence & Applications (IJAIA). It is an international journal intended for professionals and researchers in all fields of AI for researchers, programmers, and software and hardware manufacturers. The journal also aims to publish new attempts in the form of special issues on emerging areas in Artificial Intelligence and applications.

Authors are solicited to contribute to the journal by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Artificial Intelligence & applications. Topics of interest include, but are not limited to, the following:

Topics of Interest

• Machine Learning Theory and Foundations
• Deep Learning Methods and Architectures
• Self Supervised and Unsupervised Learning
• Transfer Learning, Meta Learning, and Continual Learning
• Reinforcement Learning and Decision Making
• Probabilistic Modeling and Statistical Inference
• Optimization Methods for AI and ML
• Large Language Models (LLMs)
• Multimodal Foundation Models
• Generative AI for Text, Image, Audio, and Video
• Retrieval Augmented Generation (RAG)
• Efficient AI: Model Compression, Distillation, and Acceleration
• Scaling Laws and Training Dynamics
• Neurosymbolic AI and Hybrid Intelligence
• Causal Inference and Causal Representation Learning
• Knowledge Graphs and Structured Knowledge Integration
• Automated Reasoning, Logical Inference, and Planning
• Program Synthesis and Code Intelligence
• Human AI Interaction and Collaboration
• Human in the Loop Learning
• AI Alignment and AI Safety
• Trustworthy, Robust, and Secure AI
• Ethical AI, Fairness, and Responsible AI
• Explainable and Interpretable AI (XAI)
• Federated Learning and Privacy Preserving AI
• Edge AI, TinyML, and On Device Intelligence
• Distributed Training and Scalable AI Systems
• MLOps, Deployment, and Model Monitoring
• Energy Efficient and Sustainable AI
• Computer Vision and Visual Understanding
• Natural Language Processing and Language Understanding
• Speech and Audio Processing
• Vision Language Models and Multimodal Learning
• Embodied Perception and Interactive AI
• Robot Learning and Adaptive Control
• Embodied Intelligence and Cognitive Robotics
• Autonomous Navigation and Manipulation
• Sim to Real Transfer
• Multi Agent Systems and Coordination
• Data Mining and Knowledge Discovery
• Information Retrieval and Neural Search
• Graph Machine Learning
• Data Centric AI and Dataset Quality
• Web Intelligence and Search Technologies
• AI for Bioinformatics and Computational Biology
• AI for Healthcare and Medical Imaging
• AI for Climate Science, Sustainability, and the Environment
• AI for Physics, Chemistry, and Materials Discovery
• AI for Social Good and Public Policy
• Autonomous Vehicles and Intelligent Transportation
• Smart Cities, IoT, and Cyber Physical Systems
• Financial AI, Risk Modeling, and FinTech
• Cybersecurity and Adversarial AI
• Creative AI for Art, Music, and Design
• Educational AI and Intelligent Tutoring Systems

Paper Submission

Authors are invited to submit papers for this journal through Email: ijaiajournal@airccse.org or through Submission System. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal.

Important Dates

Related Journal

• International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI)
• Machine Learning and Applications: An International Journal (MLAIJ)

• David B. Bracewell, Language Computer Corporation, USA

Editorial Board Members

• Vijayaraghavan Varadharajan, Infosys Limited, India
  
• Bala Modi, Gombe State University, Nigeria

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