7th International conference on Big Data, Machine learning and Applications (BIGML 2026)
November 21 ~ 22, 2026, London, United Kingdom
https://aisc2026.org/bigml/index

Scope & Topics
7th 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 and Information Technology.

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 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 issues of the following journals
• Machine Learning and Applications: An International Journal (MLAIJ)
• International Journal of Computer Networks & Communications (IJCNC) – Scopus ERA, WJCI Indexed
• International Journal of Wireless & Mobile Networks (IJWMN) – INSPEC WJCI Indexed
• 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 : September 26, 2026
• Authors Notification : October 24, 2026
• Registration & Camera-Ready Paper Due : October 31, 2026

Contact Us

Here’s where you can reach us : [email protected] (or) [email protected]

Submission Link : https://aisc2026.org/submission/index.php

This event is not affiliated with Invest Ottawa and is independently organized by a third party.