7th International Conference on Big Data and Applications (BDAP 2026)

Memo

7th International Conference on Big Data and Applications (BDAP 2026) July 25 ~ 26, 2026, Toronto, Canada https://ais2026.org/bdap/index Scope The 7th International Conference on Big Data and Applications (BDAP 2026) will serve as a premier global forum for presenting innovative ideas, advanced methodologies, cutting edge technologies, and impactful research in the rapidly evolving field of Big Data. As data continues to grow in scale, complexity, and strategic importance, BDAP 2026 aims to bring together researchers, practitioners, industry experts, and technology leaders to explore the latest breakthroughs and emerging trends shaping the future of data driven intelligence. BDAP 2026 provides a dynamic platform for the exchange of knowledge and collaboration across academia and industry. The conference encourages discussions on the newest challenges, opportunities, and advancements in Big Data infrastructure, analytics, machine learning, data management, cloud native systems, and real world applications across diverse domains. By fostering interdisciplinary dialogue and showcasing high impact research, BDAP 2026 supports the development of next generation data technologies that drive innovation, efficiency, and societal progress.Authors are solicited to submit works that illustrate research results, project outcomes, survey studies, and industrial experiences that describe meaningful progress in Big Data and its applications. Submissions may address topics listed in the BDAP 2026, including but not limited to: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 following areas, but are not limited to.   Topics of interest include, but are not limited to, the following Big Data Foundations, Infrastructure and Platforms Distributed Big Data Systems and Architectures Cloud Native Data Platforms (Kubernetes, Serverless, Lakehouses) Data Mesh, Data Fabric and Modern Data Stacks High Performance Computing (HPC) for Big Data Edge Cloud Continuum, Fog Computing and IoT Driven Big Data 5G/6G Networks for Big Data and Ultra Low Latency Analytics Streaming Data Platforms (Kafka, Flink, Spark Structured Streaming) Data Contracts, Schema Evolution and Contract Driven Pipelines Big Data Management, Governance and Quality Data Integration, Cleaning and Wrangling at Scale Metadata Management, Data Catalogs and Lineage Tracking Data Versioning, Provenance and Reproducibility Data Quality, Reliability Scoring and Trustworthy Pipelines Privacy Preserving Data Management (DP, MPC, Homomorphic Encryption) Data Observability, Monitoring, Drift Detection and Root Cause Analysis Compliance Aware Data Systems and AI Governance Big Data Analytics, Mining and Knowledge Discovery Large Scale Data Mining and Pattern Discovery Graph Mining, Network Analysis and Knowledge Graphs Spatio Temporal Data Mining and Geo Analytics Social Media Analytics and Behavioral Modeling Text, Web and Multimedia Big Data Analytics Real Time Analytics, Complex Event Processing and Online Learning High Dimensional Data Analysis and Feature Engineering at Scale Knowledge Augmented Data Processing and Semantic Integration   Machine Learning, AI and Big Data Intelligence Machine Learning and Deep Learning for Big Data Foundation Models and Large Scale Pretraining on Big Data Distributed ML, Federated Learning and Collaborative Analytics Reinforcement Learning for Big Data Systems Causal ML, Explainable AI (XAI) and Trustworthy Big Data AI AutoML, Hyperparameter Optimization and Scalable ML Pipelines Data Centric AI and Data Driven Model Optimization Data Efficient AI: Pruning, Deduplication and Curriculum Data Pipelines Big Data Pipelines for LLM Training and Evaluation Big Data Security, Privacy and Trust Big Data Security Architectures and Threat Detection Privacy Preserving Analytics (DP, MPC, Homomorphic Encryption) Secure Data Sharing, Access Control and Identity Management Blockchain for Big Data Integrity, Provenance and Auditability Trustworthy AI, Bias Mitigation and Ethical Big Data Systems Secure Data Clean Rooms and Cross Organizational Federated Analytics Big Data Search, Indexing and Query Processing Large Scale Search Systems and Information Retrieval Distributed Query Processing and Optimization Indexing for High Dimensional, Graph and Multimodal Data Semantic Search, Hybrid Search and Knowledge Augmented Retrieval Vector Databases, Embedding Based Retrieval and ANN Search GPU Accelerated Vector Search and Hybrid Sparse Dense Indexing Learned Index Structures for Big Data   Cloud, HPC and Advanced Computing for Big Data Cloud Computing Architectures for Big Data GPU/TPU Acceleration for Big Data Workloads Serverless Computing and Elastic Data Processing Energy Efficient Big Data Computing and Green Data Systems Quantum Computing for Big Data Analytics Simulation Driven Data Processing and Synthetic Environments Big Data Applications across Domains Healthcare, Bioinformatics, Genomics and Precision Medicine Smart Cities, IoT, Mobility and Urban Analytics Finance, Economics, Fraud Detection and Risk Modeling Education, Learning Analytics and EdTech Climate Science, Sustainability and Environmental Monitoring Cybersecurity, Threat Intelligence and Digital Forensics Retail, E commerce, Personalization and Recommendation Systems Big Data for Robotics, Autonomous Vehicles and Sensor Fusion Digital Twins and Real Time Simulation Ecosystems Emerging Trends in Big Data and Future Directions Multimodal Big Data (Text, Image, Video, Audio, Sensor Data) Cross Modal Fusion and Multimodal Embeddings at Scale Synthetic Data Generation and Simulation Driven Analytics Data Lakehouse Evolution (Delta Lake, Iceberg, Hudi) Real Time AI, Streaming ML and Event Driven Intelligence Big Data for LLMs: Dataset Curation, Filtering and Scaling Digital Twins, Simulation Platforms and Virtual Environments Quantum Accelerated Data Processing ESG, Sustainability and Carbon Aware Data Systems Retrieval Augmented Data Systems (RAG Optimized Pipelines) Autonomous Data Agents and AI Driven ETL/ELT   Paper Submission Authors are invited to submit papers through the conference Submission System by April 25, 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 BDAP 2026, after further revisions, will be published in the special issue of the following journal. Information Technology in Industry (ITII) International Journal of Data Mining & Knowledge Management Process (IJDKP) International Journal of Database Management Systems (IJDMS) International Journal on Web Service Computing (IJWSC) Important Dates Submission Deadline: April 25, 2026 Authors Notification: May 23, 2026 Registration & camera – Ready Paper Due: May 30, 2026 Contact Us Here’s where you can reach us : This email address is being protected from spambots. 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