[hpc-announce] CFP: International Conference on Big Data Computing, Applications and Technologies (BDCAT2025)

[Jolan Philippe]

[Apologies if you received this CfP several times] 

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SECOND CALL FOR PAPERS 
The 12th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT2025), 
December 1-4, 2025 in Nantes, France. 
[ https://urldefense.us/v3/__https://bdcat-conference.org/__;!!G_uCfscf7eWS!d42SPv1_yGStbc4C0KX4dQOKPFAVWMJcQnINOJNfxdDxz9b-fNfLuMWj72k-jCr6AVlvoLbaFJLhw1A0qApjHgn3-YPxeeb6$  | https://urldefense.us/v3/__https://bdcat-conference.org/__;!!G_uCfscf7eWS!d42SPv1_yGStbc4C0KX4dQOKPFAVWMJcQnINOJNfxdDxz9b-fNfLuMWj72k-jCr6AVlvoLbaFJLhw1A0qApjHgn3-YPxeeb6$  ] 
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OVERVIEW 
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Recent years have witnessed significant interest in the use of Machine Learning and AI-based techniques to support large-scale data analysis, with research and implementation of systems specifically focused on supporting different phases of the data processing lifecycle. These have ranged from in-memory systems and distributed environments (e.g., MapReduce/Hadoop, Spark) to specialist environments for stream processing of data and events (e.g., Flink, Kinesis) and Serverless (e.g., OpenWhisk, AWS Lambda). On the other hand, we also recognize the importance of computational systems required to process small data volumes, but which involve interdependencies and relationships that are hard to capture and derive. 

The IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT) is a premier annual international conference series aiming to provide a forum for researchers from both academia and industry to present and discuss discoveries in the broad area of big data computing and applications. The conference features keynotes, posters, workshops, tutorials, and a student symposium. 

BDCAT 2025 will be held in conjunction with the 18th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2025) in Nantes, France. 
Authors are invited to submit original, unpublished research manuscripts in all areas of Big Data computing, applications and technologies, as well as on related scaling data analysis. 

KEYNOTES 
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- Hubertus Franke (IBM T.J. Watson Research Center, USA) 
Title: Data Confidentiality in the World of Agentic AI Systems 

- Julie A. McCann (Imperial College London, UK) 
Title: Rubies in the Dust 

SUBMISSION 
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The main conference track is open for submissions of full research papers (up to 10 pages). 
Submitted papers must represent original and unpublished research that is not currently under review for any other conference or journal. Manuscripts should be submitted in PDF format and must not exceed ten (10) ACM-formatted double-column pages, including figures, tables, and references. All submissions must follow the standard double-column ACM proceedings format. 

Submission link : [ https://urldefense.us/v3/__https://easychair.org/my/conference?conf=ucc-bdcat-2025__;!!G_uCfscf7eWS!d42SPv1_yGStbc4C0KX4dQOKPFAVWMJcQnINOJNfxdDxz9b-fNfLuMWj72k-jCr6AVlvoLbaFJLhw1A0qApjHgn3-dACy28b$  | https://urldefense.us/v3/__https://easychair.org/my/conference?conf=ucc-bdcat-2025__;!!G_uCfscf7eWS!d42SPv1_yGStbc4C0KX4dQOKPFAVWMJcQnINOJNfxdDxz9b-fNfLuMWj72k-jCr6AVlvoLbaFJLhw1A0qApjHgn3-dACy28b$  ] 

In addition, we welcome submissions to the following tracks: 
- Workshop Papers: up to 6 pages 
- Poster Papers: up to 2 pages 
- Tutorial Papers: up to 2 pages 

Each accepted paper should be presented in person. 


TOPICS 
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Topics of interest include (but not limited to): 

- Machine Learning and Data Mining 
- Data Science Models and Approaches 
- Supervised, Unsupervised, Semi-supervised and Reinforcement Learning 
- Neural Networks, Convolution Neural Networks and Recurrent Neural Networks 
- Autoencoders, Transformer, Large Language Model 
- Natural Language Understanding, Natural Language Processing 
- Swarm Intelligence and Evolutionary Strategy 
- Computational Efficient Model Training, Inference and Serving 
- Distributed, Federated and Parallel Learning Algorithms 
- Fairness, Interpretability and Explainability 
- Data Processing and Infrastructures/Platforms 
- Data Acquisition, Integration, Cleaning and Best Practices 
- Scalable Computing Models, Theories and Algorithms 
- Mapreduce: Hadoop and Spark 
- Privacy and Security over the Data Life Cycle 
- Data Search and Information Retrieval Techniques 
- Extract/Transform/Load (ETL) or ETL Pipelines 
- In-Memory Systems and Platforms 
- Performance Evaluation Reports 
- Storage Systems (including file systems, NoSQL, and RDBMS) 
- Resource Management Approaches 
- Data Analytics on Edge Devices 
- Fault Tolerance and Reliability 
- Energy-Efficiency and Sustainability 
- Data Archival and Preservation 
- Testing, Debugging and Monitoring 
- Specialized Hardware for Scaling 
- Applications Domains 
- Internet of Things, Mobile Applications and Cyber-Physical Systems 
- Healthcare and Life Science (e.g., Genome Processing) 
- Physical Science and Engineering 
- Business and Enterprise Applications 
- Social Network Analysis 
- Scientific Case Studies and Workflows 
- Risk Analysis and Management 
- Cloud-Edge Continuum 
- Data Streaming and Batch Applications 
- Data Trends and Challenges 
- Data Visualization and Analytics 
- Visual Analytics Algorithms and Foundations 
- Graph and Context Models for Visualization 
- Analytics Reasoning and Sense-making 
- Visual Representation and Interaction 
- Data Transformation and Presentation 


IMPORTANT DATES 
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All the deadlines are AoE (Anywhere on Earth) 
- Paper Submission Deadline (extended): 5 September 2025 
- Acceptance Notification: 17 October 2025 
- Camera Ready Papers Due: Mid November 2025 


ORGANIZATION 
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General Chairs 
- Daniel Balouek (INRIA, France) 
- Manish Parashar (University of Utah, USA) 

Program Chairs 
- Kandaraj Piamrat (Nantes University, France) 
- Lorenzo Carnevale (University of Messina (UniME), Italy)