7th International conference on Big Data, Machine learning and Applications (BIGML 2026) November 21 ~ 22, 2025, London, United Kingdom https://aisc2026.org/bigml/index Scope7th International conference on Big Data, Machine learning and Applications (BIGML 2026) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Big Data and Machine Learning. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Big Data and Machine Learning. Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the areas of Computer Science, Engineering and Applications. Topics of interest include, but are not limited to, the following Big Data Systems, Lakehouse Architectures and Cloud Native Pipelines Streaming, Real‑Time, Edge and IoT Big Data Analytics Large‑Scale Data Mining, Pattern Discovery and Graph Analytics Machine Learning and Deep Learning for Massive Datasets Self‑Supervised, Contrastive, Graph and Sequential ML Time‑Series Foundation Models, SSMs and Anomaly Detection Foundation Models, LLMs, RAG and Multimodal AI for Big Data Generative AI, Synthetic Data and Simulation‑Driven Data Generation Causal ML, Causal Discovery and Counterfactual Reasoning Neural Retrieval, Vector Databases and Web‑Scale Search Data‑Centric AI, Weak Supervision and Data Quality Engineering ML Safety, Robustness, Alignment and Privacy‑Preserving ML Adversarial ML, Threat Intelligence and Fraud Detection Code‑LLMs, Software Analytics and Automated Code Intelligence Recommender Systems, Personalization and Graph Based Recommendations ML for Optimization, Supply Chain, Routing and Operations Research Scientific ML, Physics Informed ML and Climate/Sustainability Analytics MLOps, DataOps, HPC and Hardware Accelerated ML Energy‑Efficient ML, Carbon‑Aware Computing and Efficient Model Training Paper SubmissionAuthors are invited to submit papers through the conference Submission System by August 22, 2026 . Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed). Selected papers from BIGML 2026, after further revisions, will be published in the special issue of the following journal. Machine Learning and Applications: An International Journal (MLAIJ) International Journal of Computer Networks & Communications (IJCNC) International Journal of Wireless & Mobile Networks (IJWMN) International Journal of Mobile Network Communications & Telematics (IJMNCT) Advances in Vision Computing: An International Journal (AVC) Information Technology in Industry (ITII) Important Dates Submission Deadline: August 22, 2026 Authors Notification : October 24, 2026 Registration & camera – Ready Paper Due : October 31, 2026 Contact UsHere’s where you can reach us : This email address is being protected from spambots. You need JavaScript enabled to view it. (or) This email address is being protected from spambots. You need JavaScript enabled to view it.