

BDA 2026: Call for Papers and Proposals
The 14th International Conference on Big Data and Artificial Intelligence
September 17-20, 2026 (BDA2026)
K K Birla Goa Campus, BITS Pilani, India
The 14th International Conference on Big Data Analytics and Artificial Intelligence (BDA 2026) will be held during September 17-20, 2026, organized by BITS Pilani, India. BDA 2026 provides a forum for researchers, academics, and industry practitioners to share original research results, practical experiences, and insights on big data from different perspectives including artificial intelligence, machine learning, storage models, computing paradigms, analytics, privacy, and future research trends.
BDA 2026 invites high-quality research papers proposing novel solutions addressing problems related to big data analytics and artificial intelligence, as well as case studies and practical experiences. Major topics of interest include, but are not limited to:
Data Integration, Pre-processing, NoSQL, Data Fusion, Sensor Data Management, Statistical Databases, Scalability, Data Mining (association, classification, clustering, anomaly detection), Spatio-temporal mining, Model Discovery, Distributed & Cloud Computing, Semantic Web, Social Network Analysis, Recommendation Systems, Visualization, Privacy & Security, Graph Mining, and more.
Machine Learning for Big Data, NLP, Computer Vision, Reinforcement Learning, Conversational AI, Large Language Models, Generative AI, Prompt Engineering, Deep Learning, Quantum ML, Neuro-symbolic reasoning, Edge & Federated Learning, Foundation Models, Multimodal Learning, and OOD generalization.
Applications in agriculture, medicine, drug discovery, environment, climate change, e-governance, trend detection, exploratory analytics, recommendation systems, bioinformatics, and use of emergent technologies (FPGA, GPUs, Quantum Computing, Bio Computing) to improve performance, reduce latency, and lower carbon footprint in AI/Big Data applications.
We also welcome research that explores the relationship between AI and society, particularly concerning bias, fairness, and responsible AI.
RESEARCH TRACK SUBMISSIONS
Each paper should contain an abstract of approximately 250 words with a page limit of 16 pages (including references) in the LNCS style. The submissions include the title page, references and appendix. For preparing the manuscript, please see instructions for authors by Springer in the Lecture Notes in Computer Science series (LNCS). The BDA proceedings are expected to be published by Springer's LNCS series (approval pending).
(All deadlines are in Anywhere on Earth)

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