Call For Papers
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
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