Welcome to BMLI 2026

7th International Conference on Big Data, Machine Learning and IoT (BMLI 2026)

September 26 ~ 27, 2026, Toronto, Canada

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

Program Committee

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Accepted Papers

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Toronto, Canada

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Scope

The 7th International Conference on Big Data, Machine Learning and IoT (BMLI 2026) serves as a premier global forum for presenting innovative ideas, cutting edge research, advanced methodologies and real world applications across the rapidly evolving domains of Big Data, Machine Learning and the Internet of Things. As data driven intelligence continues to transform industries, scientific discovery and society at large, BMLI 2026 brings together researchers, practitioners and thought leaders to exchange insights, foster collaboration and shape the next generation of intelligent systems.

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Call for Papers


7th International Conference on Big Data, Machine Learning and IoT (BMLI 2026) serves as a premier global forum for presenting innovative ideas, cutting edge research, advanced methodologies and real world applications across the rapidly evolving domains of Big Data, Machine Learning and the Internet of Things. As data driven intelligence continues to transform industries, scientific discovery and society at large, BMLI 2026 brings together researchers, practitioners and thought leaders to exchange insights, foster collaboration and shape the next generation of intelligent systems

The conference welcomes high quality contributions that demonstrate significant advances, including theoretical developments, experimental results, system designs, industrial case studies and comprehensive survey works.

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


  • Distributed and cloud native data systems
  • Streaming, real time analytics and eventprocessing
  • AI native databases, vector search and semantic retrieval
  • Foundation models, multimodal AI and self supervised learning
  • Transformers, MoE models and efficient inference
  • Generative AI, diffusion models and synthetic data
  • RAG systems, LLM augmentation and knowledge integration
  • LLM agents, autonomous AI and tool use models
  • Graph ML, GNNs and large scale graph systems
  • Federated, distributed and privacy preserving ML
  • Causal ML, counterfactual reasoning and robust inference
  • Continual, lifelong and meta learning
  • Neural architecture search and automated ML
  • Multi agent reinforcement learning and cooperative AI
  • AI safety, alignment and adversarial robustness
  • Large scale training, parallel ML and AI compilers
  • ML for code, program synthesis and automated reasoning
  • Knowledge graphs, semantic systems and reasoning
  • Multimodal analytics: text, vision, audio, sensor data
  • Neural fields (NeRFs, Gaussian Splatting) and 3D reconstruction
  • Embodied AI, robotic foundation models and simulation
  • Next gen IoT: 5G/6G, LPWAN, satellite IoT and NTN
  • Ultra low power IoT, neuromorphic edge and energy harvesting
  • Wireless and RF sensing, CSI based perception
  • IoT localization, tracking and cooperative perception
  • Digital twins, cyber physical systems and industrial IoT
  • LLMs at the edge (TinyLLMs, EdgeLLMs)
  • LLM powered IoT orchestration and autonomous device control
  • RAG for sensor data, time series and IoT streams
  • AI for cybersecurity, threat intelligence and LLM red teaming
  • Quantum ML, SciML and AI for scientific discovery
  • AI for climate, sustainability and environmental systems
  • Spatial computing, AR/VR/XR and neural rendering
  • Responsible AI: fairness, ethics and governance

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).

Important Dates

Third Batch : submissions after August 17, 2026
Submission Deadline

August 22, 2026

Authors Notification

September 19, 2026

Registration & camera - Ready Paper Due

September 23, 2026

Proceedings

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

Sponsors