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

Program Committee

Accepted Papers

Toronto, Canada

Scope

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.

Call for Papers

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.

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 Submission

Authors 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.

Important Dates

Submission Deadline

August 22, 2026

Authors Notification

October 24, 2026

Registration & camera - Ready Paper Due

October 31, 2026

Other Conferences

Past Events

Invited Talk

Proceedings

Hard copy of the proceedings will be distributed during the Conference. The softcopy will be available on AIRCC Digital Library

Welcome to BIGML 2026