7^th International Conference on Big Data and Machine Learning (BDML 2026)

June 27 ~ 28, 2026, Copenhagen, Denmark

Hybrid -- Registered authors can present their work online or face to face.

Scope & Topics

The 7^th International Conference on Big Data and Machine Learning (BDML 2026) rings together researchers, practitioners and industry leaders to explore the rapidly evolving landscape of data driven intelligence. As Big Data and Machine Learning continue to transform science, engineering, business and society, BDML 2026 serves as a premier venue for presenting innovative ideas, breakthrough methodologies and innovative applications that push the boundaries of what intelligent systems can achieve. The conference provides a dynamic environment for discussing emerging challenges, sharing novel solutions and shaping the future directions of the field.

Topics of interest include, but are not limited to, the following

Foundation Models, Generative AI and Multimodal Systems


• Large Language Models (LLMs): architectures, scaling laws, training, alignment
  
• Multimodal foundation models (vision language, audio text, video language)
  
• Retrieval Augmented Generation (RAG) and knowledge grounded AI
  
• Efficient fine tuning, distillation, quantization and model compression
  
• Diffusion models and generative modeling for images, audio, video and 3D
  
• Safety, robustness and evaluation of foundation models
  
  Machine Learning Theory, Algorithms and Optimization
  
  
• Optimization methods for deep and large scale models
  
• Representation learning and self supervised learning
  
• Probabilistic modeling, Bayesian methods and uncertainty quantification
  
• Meta learning, few shot learning and transfer learning
  
• Online, continual and lifelong learning
  
• Causal inference, causal discovery and counterfactual reasoning
  
  ML Systems, Infrastructure and Scalable Computing
  
  
• Distributed training systems, parallelization strategies and scheduling
  
• ML compilers, accelerators and hardware -software co design
  
• Cloud native, edge and serverless ML systems
  
• High performance computing for ML and data intensive workloads
  
• Inference optimization, serving systems and low latency ML pipelines
  
• Energy efficient ML, Green AI and sustainable computing
  
  Big Data Systems, Management and Engineering
  
  
• Scalable data processing architectures and dataflow systems
  
• Data engineering, pipelines, orchestration and workflow automation
  
• Data integration, cleaning, quality and governance
  
• Real time and streaming data analytics
  
• Data compression, indexing and query optimization
  
• Privacy preserving data management (DP, MPC, HE)
  
  Data Mining, Knowledge Discovery and Graph Intelligence
  
  
• Large scale data mining algorithms and theory
  
• Graph neural networks (GNNs) and graph representation learning
  
• Knowledge graphs, reasoning and graph mining
  
• Temporal, spatial and spatiotemporal data mining
  
• Anomaly detection, fraud detection and rare event modeling
  
• Recommender systems and personalization
  
  Responsible, Trustworthy and Secure AI
  
  
• Explainability, interpretability and transparency in ML
  
• Fairness, bias mitigation and ethical AI
  
• AI governance, policy and regulatory compliance
  
• Adversarial ML, robustness and secure model training
  
• Privacy preserving ML (federated learning, DP, secure aggregation)
  
• ML for cybersecurity and threat intelligence
  
  Distributed, Federated and Edge Intelligence
  
  
• Federated learning algorithms, systems and applications
  
• Collaborative and decentralized ML
  
• Edge AI, on device learning and TinyML
  
• 6G, IoT and cyber physical systems for ML and data analytics
  
• Resource constrained learning and communication efficient ML
  
  Autonomous Agents, RL and Decision Making
  
• Reinforcement learning theory and applications
  
• Multi agent systems and coordination
  
• LLM based agents and tool using AI systems
  
• Planning, control and sequential decision making
  
• Simulation based learning and digital twins
  
  Scientific ML, Simulation and Domain Applications
  
  
• ML for physics, chemistry, biology and materials science
  
• Climate modeling, environmental analytics and sustainability
  
• Healthcare analytics, medical AI and computational biology
  
• Finance, economics and risk modeling
  
• Smart cities, transportation and mobility analytics
  
• Multimedia, vision, speech and natural language analytics
  
  Evaluation, Benchmarking and Data Centric AI
  
  
• Dataset creation, curation and governance
  
• Data centric AI methodologies and tooling
  
• Benchmarking ML systems and reproducibility studies
  
• Robust evaluation protocols for large scale models
  
• Synthetic data generation and simulation driven datasets
  

Paper Submission

Authors are invited to submit papers through the conference Submission System by . 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 (H index 43) in Computer Science & Information Technology (CS & IT) series (Confirmed).

Selected papers from BDML 2026, after further revisions, will be published in the special issue of the following journals.

• International Journal of Data Mining & Knowledge Management Process (IJDKP) - WJCI Indexed
• International Journal of Database Management Systems (IJDMS) - WJCI Indexed
• Machine Learning and Applications: An International Journal (MLAIJ)
• Advances in Vision Computing: An International Journal (AVC)
• International Journal of Grid Computing & Applications (IJGCA)
• Information Technology in Industry (ITII)

Important Dates

Co - Located Event

• 12^th International Conference on Artificial Intelligence and Applications (AIFU 2026)
  
• 15^th International Conference on Embedded Systems and Applications (EMSA 2026)
  
• 15^th International Conference on Cloud Computing: Services and Architecture (CLOUD 2026)
  
• 16^th International Conference on Computer Science, Engineering and Applications (CCSEA 2026)
  
• 12^th International Conference on Signal and Image Processing (SIPRO 2026)
  
• 15^th International Conference on Software Engineering and Applications (SEA 2026)
  
• 12^th International Conference on Networks & Communications (NCOM 2026)
  
• 14^th International Conference on Data Mining & Knowledge Management Process (DKMP 2026)
  
• 7^th International Conference on Natural Language Computing and AI (NLCAI 2026)
  
• 7^th International Conference on Block chain and Internet of Things Applications (BIoT 2026)

***** The invited talk proposals can be submitted to bdml@ccsea2026.org