The ICAIML Conference Series aims to promote the new findings and research-based outcomes through the techniques, advancement, applications and development of Artificial Intelligence and use of Machine Learning. The series of ICAIML aims to bring together the researchers, engineers and practitioners to present the latest achievements and innovations in the interdisciplinary areas of Advanced Computing and Applied Informatics to discuss thought-provoking developments and challenges, in order to select potential future directions. The major objective of the conference is to encourage the participation of young researchers carrying research in the field relating to soft computing in India and abroad.

Authors are invited to submit their original, unpublished and quality research papers (full length manuscripts, not a review or survey paper) in the All subareas of AI and machine learning but not limited to:

Modeling, Algorithms and Simulations
Information Security and Cryptology
Machine learning for Cyber security
Network security
IoT security
Intelligent Electrical and Electronic Systems
Problem Solving
Scientific Computing
Computational Sciences (Biology, Chemistry, mathematics, physics, forensics, etc.)
High Performance Computing
Network Analysis
Computer Architecture
Visualization and Virtual Reality as Applied to Computational Science
Architectures and computation models, compiler, hardware and OS issues
Large Scale Scientific Instruments
Memory system, I/O, tools, programming environment and language supports
Application-specific processors and devices
Business Applications
Component and binding models
Embedded computing education
Embedded hardware support
Embedded software
Embedded system architecture
Hardware and software co-design
Industrial practices and benchmark suites
Integration with business logic
Integration with SOA
Middleware
Networked Embedded Systems
Policy-based management
Programming abstractions
Real-time systems
Recent Trends
Service-Oriented architectures
Testing techniques
Intelligent and Interactive Technologies in an Educational Context
Data Mining and Machine Learning
Semantic Web Technologies
Multi-agent Architectures
Tangible Interfaces, Wearables and Augmented Reality
Modelling and Representation
Ontological Modelling
Modelling Motivation, Metacognition, and Affective Aspects of Learning
Computational Thinking and Model-building
Models of Teaching and Learning
Design and formative studies of AIED system
Intelligent Tutoring and Scaffolding
Domain-specific Learning Applications
Artificial Intelligence
AI Algorithms
Artificial Intelligence Tools & Applications
Automatic Control
Bioinformatics
Natural Language Processing
CAD Design & Testing
Data Mining and Machine Learning Tools
Fuzzy Logic
Heuristic and AI Planning Strategies and Tools
Computational Theories of Learning
Hybrid Intelligent Systems
Information Retrieval
Intelligent System Architectures
Knowledge Representation
Knowledge-based Systems
Mechatronics
Multimedia & Cognitive Informatics
Neural Networks
Parallel Processing
Pattern Recognition
Pervasive Computing and Ambient Intelligence
Programming Languages
Reasoning and Evolution
Recent Trends and Developments
Robotics
Soft Computing and Applications
Fuzzy Systems
Neural Networks
Machine Learning
Probabilistic Reasoning
Evolutionary Computing
Pattern Recognition
Hybrid Intelligent Systems
Software Agents
Morphic Computing
Image Processing
E-commerce, E-medicine
Rough Sets
Symbolic Machine Learning
Wavelet
Signal or Image Processing
Vision Recognition
Biomedical Engineering
Telecommunications
Reactive Distributed AI
Nano & Micro-systems
Data Visualization
Semantic Web Techniques and Technologies
Soft Computing Theory and Applications
Software & Hardware Architectures
Web Intelligence Applications & Search
Techniques & Methods
Applications