National Forensic Sciences University Goa Campus, India is going to organize the 7^th World Conference on Artificial Intelligence: Advances and Applications (WCAIAA 2026) in hybrid mode (Online/In-person) during January 30-31, 2026. The conference is technically sponsored by the Soft Computing Research Society. 

Submissions

• Full-length paper: Accepted papers will be published in the SCOPUS Indexed Springer Book Series, 'Lecture Notes in Networks and Systems'.
• Short Paper (< 6 Pages):  Authors will be given the chance to present during the conference. The Short papers  will be published in the SBS proceedings (a publication of Soft Computing Research Society) indexed in Google Scholar.
• Abstract Only*: Authors will be given the chance to present during the conference. A book of abstracts will be published in the e-version of souvenir of the conference.
• Poster Presentation*: Authors will be given the chance to present during the conference. Please bring one printed poster in A-3 size. The poster will be published in the e-version of souvenir of the conference.

The topics covered (but are not limited to) in the conference are as follows:

Artificial Intelligence:  Agent-Based Systems, Evolutionary Algorithms, Approximate Reasoning, Bioinformatics and Computational Biology, Artificial Intelligence in Modeling and Simulation, Natural Language Processing, Artificial Life, Artificial Immune Systems, Brain-Machine Interfaces, Collective Intelligence, Computer Vision and Speech Understanding, Data Mining, Swarm Intelligence, Machine Learning, Human-Computer Interaction

Intelligent Sensor, Devices & Application: Automatic Control Routing Protocol in WSN, Robotics, Medical Health Application, Intelligent Database Systems, Intelligent Sensor, Mechatronics, Pervasive Computing and Ambient Intelligence, Synthesizing Controllers, Intelligent System Architectures, Energy Optimization of Wireless Devices, Industrial Monitoring, Agriculture Applications, Security and Privacy, Data Mining, Network Intelligence, Disaster Management, Business intelligence

Machine Learning and Deep Learning Applications: Supervised and Unsupervised Learning, Reinforcement Learning, Generative AI, Neural Network Architectures, Transfer Learning, Explainable AI, Edge AI, Federated Learning, AI for Big Data Analytics, Graph Neural Networks, Time Series Forecasting, AI in Predictive Maintenance, AI in Cybersecurity, Trustworthy AI

AI in Data Science and Analytics: Data Preprocessing and Feature Engineering, Knowledge Discovery, Intelligent Data Integration, Statistical Learning, Data Visualization, Recommender Systems, AI in Business Analytics, Decision Support Systems, Text and Web Mining, Computational Intelligence for Data Analysis, Cloud-based Data Analytics, AI-driven Optimization

AI in Robotics and Automation: Autonomous Robots, Humanoid Robotics, Swarm Robotics, Cognitive Robotics, Industrial Automation, Motion Planning, Perception and Navigation, AI in Manufacturing, AI for Smart Factories, Adaptive Control Systems, Reinforcement Learning in Robotics, Human-Robot Collaboration

AI in Healthcare and Biomedical Engineering: Medical Image Processing, Disease Diagnosis and Prognosis, AI in Drug Discovery, Health Informatics, Predictive Healthcare Systems, Wearable and IoT-based Healthcare, Medical Decision Support Systems, Precision Medicine, AI for Public Health, Brain–Computer Interfaces in Medicine

AI in Communication and Networking: Intelligent Network Management, AI for 5G/6G Networks, Cognitive Radio Networks, Network Traffic Prediction, Edge and Fog Computing, AI for IoT Systems, Security and Privacy in AI Networks, AI for Cloud Orchestration, AI in Software-Defined Networks, Intelligent Protocols

AI in Smart Cities and Sustainable Development: Smart Mobility, Urban Analytics, AI for Energy Efficiency, Smart Grids, AI for Waste and Water Management, Climate Modeling, Disaster Prediction and Response, AI for Sustainable Agriculture, Environmental Monitoring, AI-based Governance and Policy

AI in Education and Learning Technologies: Intelligent Tutoring Systems, Adaptive Learning, AI in Assessment and Evaluation, Learning Analytics, Gamification and Virtual Learning Environments, Cognitive Modeling for Education, AI for Skill Development, Educational Data Mining

AI Ethics, Policy, and Societal Impact: Responsible AI, Ethical Machine Learning, Bias and Fairness in AI Systems, AI Governance Frameworks, Regulation and Compliance, AI for Social Good, AI and Employment, Legal Aspects of AI, Human Rights and AI, Trust and Transparency

All submissions need to be submitted through the CMT using the link:

https://cmt3.research.microsoft.com/WCAIAA2026