Computational Techniques in Data Science (IICTDS 2026)
Exploring cutting-edge developments in computational methods and frameworks driving innovation in Data Science across healthcare, finance, autonomous systems, and social sciences.
Driving Innovation Through Computational Intelligence
The IICTDS 2026 conference aims to explore cutting-edge developments in computational methods and frameworks that drive innovation in Data Science (DS).
Participants will engage with novel theoretical concepts, practical tools, and emerging technologies, emphasizing interdisciplinary applications across industries like healthcare, finance, autonomous systems, and social sciences.
Conference Objectives
Collaboration
Foster collaboration between academic researchers, industry professionals, and policymakers.
Innovation
Highlight innovative algorithms, modelling techniques, and computational approaches in AI, ML, and DS.
Real-World Impact
Discuss real-world challenges and emerging ethical concerns in AI-driven solutions.
Societal Solutions
Provide a platform for presenting novel applications and solutions to key societal challenges using AI, ML, and Data Science.
Key Topics of Interest
The conference will focus on, but is not limited to, the following topics:
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
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
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