7^th International conference on Big Data, Machine learning and Applications (BIGML 2026)

November 21 ~ 22, 2026, London, United Kingdom

Scope & Topics

7^th 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.

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 Submission

Authors are invited to submit papers through the conference Submission System by September 26, 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 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 journals.

• Machine Learning and Applications: An International Journal (MLAIJ)
  
• International Journal of Computer Networks & Communications (IJCNC)/a>
  
• International Journal of Wireless & Mobile Networks (IJWMN)/a>
  
• International Journal of Mobile Network Communications & Telematics (IJMNCT)/a>
  
• Advances in Vision Computing: An International Journal (AVC)
  
• Information Technology in Industry (ITII)/a>

Important Dates

Co - Located Event

• 16^th International Conference on Computer Science and Information Technology (CCSIT 2026)
  
• 14^th International Conference on Signal, Image Processing and Pattern Recognition (SIPP 2026)
  
• 15^th International Conference on Parallel, Distributed Computing Technologies and Applications (PDCTA 2026)
  
• 11^th International Conference on Software Engineering (SOEN 2026)
  
• 11^th International Conference on Networks, Communications, Wireless and Mobile Computing (NCWMC 2026)
  
• 11^th International Conference on Data Mining & Knowledge Management (DaKM 2026)
  
• 7^th International Conference on Natural Language Processing and Computational Linguistics (NLPCL 2026)
  
• 14^th International Conference on Artificial Intelligence, Soft Computing (AISC 2026)
  
• 7^th International Conference on Integrating Technology in Education (ITE 2026)
  

***** The invited talk proposals can be submitted to bigml@ccsit2026.org