We invite researchers and practitioners to submit their original research papers on the following themes: AI, ML, DS methodologies, real-world applications, case studies, and interdisciplinary research.
Tracks
Special Tracks
Track 1: Artificial Intelligence
Explainable AI and interpretability
AI in robotics, IoT, and smart devices
Cognitive computing and AI ethics
Natural language processing and understanding
AI for healthcare, sustainability, and climate science
Track 2: Machine Learning
Deep learning, reinforcement learning, and transfer learning
Advances in supervised, unsupervised, and semi-supervised learning
ML for cybersecurity, privacy, and anomaly detection
Generative models and synthetic data generation
ML in autonomous systems, transport, and robotics
Track 3: Data Science
Big data analytics, architecture, and infrastructure
Data wrangling, pre-processing, and feature engineering
Scalable algorithms for large datasets
Predictive and prescriptive analytics
Visualization techniques and tools for data interpretation
Track 4: Interdisciplinary Applications
AI, ML, and DS for personalized medicine and genomics
AI, ML, and DS for Wireless Networks
AI, ML and DS for IoT, IoMT and IIoT
AI for constrained and unconstrained optimization problems
AI in the finance and banking industry
AI-driven innovations in education and e-learning
AI applications in smart cities and transportation
