Hybrid Mode
July 16-17, 2026
Organized by Department of Computer Science, Mother Teresa Women’s University (MTWU) collaboration with,
Society for Innovation, Research, and Intelligent Computing Systems (SIRICS)
MTWU, Kodaikanal
MTWU, Kodaikanal
MTWU, Kodaikanal
MTWU, Kodaikanal
Call For Papers
ICAANS 2026 provides a platform for academia and industry to present and discuss the latest innovations, trends, challenges, and solutions in intelligent and autonomous systems. We invite researchers, professionals, and industry experts to submit their original, unpublished research contributions that are not under consideration elsewhere. Join us in advancing the agentic AI paradigm and shaping the future of intelligent, ethical, and autonomous technologies. All submissions will undergo a single-blind peer review by experts from reputed organizations worldwide. Only nontrivial, unpublished, and original contributions will be considered. All accepted and presented papers will be published in the proceedings of ................... .
You are requested to submit your research paper using the Microsoft CMT: https://cmt3.research.microsoft.com/ICAANS2026.
The submissions must conform to the Submission Guidelines, and must not exceed pages including text, figures and references. The submissions should include the title, abstract, and names and affiliations of all authors.
To prepare your submission, please use the Template given on the website, and follow the instructions provided.
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Paper Submission Deadline: April 15, 2026.
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Author Notification: May 10, 2026.
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Camera Ready Submission: June 5, 2026.
Contact
If you have any queries, please contact us via e-mail at:
contact@icaans.com
| Dr. K. Kavitha | +91 9443133000 |
| Dr. D. Usha | +91 9486844111 |
| Dr. V. R. Elangovan | +91 9840364556 |
| Ms. B. Prabha | +91 8300719870 |
The areas of interest include, but are not limited to:
- Track 1: Neuro-Symbolic AI & Cognitive Computing
- Knowledge Representation and Reasoning
- Hybrid AI Systems
- Explainable AI (XAI)
- Cognitive Architectures and Agent-Based Models
- Track 2: Machine Learning & Deep Learning
- Supervised, Unsupervised, and Reinforcement Learning
- Deep Neural Networks and Architectures
- Transfer Learning and Self-Supervised Learning
- AI Applications in Healthcare, Finance, and Industry
- Track 3: Swarm Intelligence & Multi-Agent Systems
- Particle Swarm Optimization, Ant Colony Optimization
- Distributed Intelligent Systems
- Cooperative and Collaborative Robotics
- Swarm-Based Optimization and Control
- Track 4: Intelligent Systems & Applications
- Autonomous Systems and Robotics
- Smart Computing and IoT-Enabled AI
- AI in Environmental and Societal Applications
- Human–AI Interaction and Intelligent Decision-Making
- Track 5: Emerging AI Technologies
- AI Ethics, Governance, and Responsible AI
- Quantum Computing and AI Integration
- AI-Enabled Cybersecurity Solutions
- Edge AI and Real-Time Intelligent Systems
- Track 6: Interdisciplinary Applications of AI
- AI in Healthcare & Biomedical Engineering
- AI for Sustainable Development & Environmental Studies
- AI in Social Sciences, Humanities, and Education
- AI in Business, Economics, and Management
- AI for Smart Cities, Agriculture, and Industrial Automation