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Call For Papers
Call For Papers
International Conference on ARTIFICIAL INTELLIGENCE METHODS AND MODERN APPLICATIONS (IC-AMMA 2026) aims to provide a premier forum for researchers, academicians, industry professionals, and students to present their latest research contributions, exchange knowledge, and foster cross-disciplinary collaborations in the premier domain of Artificial Intelligence (AI)
Participation is encouraged from academia, research organizations, and industry professionals working in all major and interdisciplinary areas of Computational Intelligence, Artificial Intelligence Methods and Modern Applications.
Papers are invited for IC-IMMA 2026 on topics / tracks mentioned below (but not limited to) and lying within the scope of the conference. All contributions must be of high quality, original, and must not have been previously published or submitted elsewhere or intended for publication elsewhere.
All papers will be reviewed by two members of the International Programme Committee and depending on their level and attributes, may be selected for oral presentation, and publication in the conference proceedings.
Tracks of the Conference
Tracks of the Conference
AI METHODS
Core AI Methods
Machine Learning (ML) and Deep Learning (DL)
Symbolic AI
Natural Language Processing (NLP)
AI & DATA ANALYTICS
Data Science
Big Data Systems
AI Analytics Life Cycle
Risks and Challenges of AI for Data Analytics
AI SECURITY & PRIVACY
Security and Privacy Models of AI
Applications of AI in Cybersecurity and Privacy
Security and Privacy Issues of AI in Blockchain
Security and Privacy of AI in Related Applications (e.g., Self-Driving Cars)
AI INNOVATIONS & ALGORITHMS
AI Friends and Relationships
Philosophy and AI
Music and AI
Edge AI
AI FOR SOCIETY AND SUSTAINABILITY
AI in Public Sector Services
AI in Healthcare
AI in Smart City Applications
AI for a Sustainable Society
AI FOR EDUCATION & PERSONALIZED LEARNING
Intelligent Tutors / 24×7 Tutoring
AI-Based Assistive Technology for Personalized Learning
Smart Content Creation Using AI
Auto-Translation System for Personalized Learning
ML, DL & OTHER ADVANCED AI METHODS
Generative and Agentic AI
Quantum AI
Explainable AI
AutoML
AI-DRIVEN MANAGEMENT & DECISION SUPPORT SYSTEMS
Predictive Analytics
Personalization and Customization
AI in Supply Chain and Logistics
AI Strategies and Decision Support Systems
MULTIMODAL AND CROSS-DOMAIN AI SYSTEMS & APPLICATIONS
Data Pipelines for Multimodal AI
Cross-Model/Domain Data Fusion Strategies
Multimodal AI Risks
Multimodal Medical AI
FUTURE HORIZONS IN AI
Machine Autonomy
AI Teammates
Advanced Healthcare and Societal Applications
AI Infrastructure
Publication Ethics Statement
Publication Ethics Statement
The IC-AMMA 2026 follows the highest standards of publication ethics and takes all possible procedures against any publication misconduct. This Conference does not accept any type of plagiarism, which means that any author replicating a significant part of another’s work without acknowledging him/her or passing another’s work off as his/her own are not tolerated and will not be accepted for publication in our proceedings. Therefore, all authors submitting their works to this IC-AMMA 2026 Conference for publication as original works confirm that the submitted papers are their own contributions and have not been copied in whole or in part from other works. In this context, each submitted paper will first go through ‘plagiarism check’ and ‘AI contents check’ by the TPC. Thereafter, each submission will be reviewed by two independent reviewers, to ensure the high standard and quality of each accepted submission. The IC-AMMA 2026 Conference guarantees that the entire peer review and publication process is meticulous and objective-driven towards meeting the global standards.
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