Submissions deadline: April 18, 2025, 23:59 (IST)

The 13th International Conference on Big Data Analytics and Artificial Intelligence (BDA 2025) will be held during July 17-20, 2025. The conference will be organized by the International Institute of Information Technology Bangalore (IIIT Bangalore), India. BDA 2025 provides   forum for researchers, academics and industry practitioners to share their original research results, practical experiences and thoughts on big data from different perspectives including artificial intelligence, machine learning, storage models, data access, computing paradigms, analytics, information sharing and privacy, data mining algorithms, open issues and future research trends.

BDA 2025 invites original, technically sound, original, high-quality research papers proposing novel solutions addressing the problems related to big data analytics, artificial intelligence as well as case studies and practical experiences with big data and artificial intelligence. Major topics of interest to the conference include, but are not limited to:

(i) Big Data Systems and Data Science:  Data Integration,  Data pre-processing, NoSQL and non-standard Data Model Data Fusion and Multi Modal Analytics,    Sensor data management, Statistical and scientific databases, Index Structures, Scalability and Performance, Data Mining (Association rule, classification, clustering, pattern mining, query analysis, anomaly and outlier detection), Spatio-temporal, time-series, sequential, stream and sensor data mining, Model Discovery from Big Data, Big Data Processing, Distributed and Cloud Computing, Conceptual/cognitive/programming Models for Big data analytics, Information Retrieval and Extraction, Semantic Web and Knowledge Management, Graph and Social Network Analysis, Information Search, Human-in-the-Loop Computation and Crowdsourcing, User Interface Design, Recommendation Systems, Data Visualization, Graph Mining, Privacy, Security, Trust, and Fairness in Big Data, Semantics of Big Data, and Processing of Big Data.

(ii) Artificial Intelligence:  Machine Learning and AI techniques for big data, Conversational AI (e.g., chatbots and voice assistants), Large Language Models and vision transformers, Generative AI, Prompt Engineering, Deep Learning, Reinforcement learning, Quantum ML, Decision-focused learning, Neuro-symbolic methods and reasoning, Non-IID learning, and OOD generalization, Edge analytics and federated learning

(iii)Technology and Practice: Innovative Data science and AI applications in agriculture, medical, drug discovery, environment, climate change, E-governance and so on; AI technologies for trend detection, analysis and tracing on contact networks; Domain-specific Analytics Interaction Design for Exploratory Analytics; AI technologies for trend detection, analysis and tracing on contact networks; Innovative search and recommendation applications; Database usability and HCI; Advanced database and Web applications; Bio and health informatics.

We also welcome research that explores the relationship between AI and society, particularly concerning bias, fairness, and responsible AI. 

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