The 10th IEEE/ACM International Conference on Big Data

Computing, Applications and Technologies (BDCAT2023)


Where: Taormina, Messina, Italy

When: from 4th to 7th December 2023





The IEEE/ACM International Conference on Big Data

Computing, Applications, and Technologies (BDCAT) is a

premier annual conference series aiming to provide a

platform for researchers from both academia and

industry to present new discoveries in the broad area

of big data computing and applications. The conference

features keynotes, posters, workshops and a student

symposium. BDCAT 2023 will be held in conjunction with

the 16th IEEE/ACM International Conference on Utility

and Cloud Computing (UCC 2023) in Taormina, Messina,



Authors are invited to submit original, unpublished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. Topics of interest include (but

not limited to):

- Scaling Machine Learning and Data Mining:

    Data Science Models and Approaches; Data

    Acquisition, Integration, Cleaning and Best

    Practices; Supervised, Unsupervised and

    Reinforcement Learning; Neural Networks, Convolution

    Neural Networks and Recurrent Neural Networks;

    Transformer and Natural Language Processing; Swarm

    Intelligence and Evolutionary Strategy; Efficient

    Model Training, Inference and Serving; Distributed,

    Federated and Parallel Learning Algorithms; Testing,

    Debugging and Monitoring; Fairness, Interpretability

    and Explainability Specialized Hardware for Scaling.

- Scaling Data Infrastructures and Platforms:

    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.

- Scaling Data Applications:

    Data Applications for Internet of Things, Mobile

    Applications and Cyber-Physical Systems; Data

    Applications for Healthcare and Life Science (e.g.,

    Genome Processing); Data Applications for Physical

    Science and Engineering; Data Applications for

    Business and Enterprise Applications; Data

    Applications for Social Networks; Data Applications

    for Scientific Case Studies; Data Applications over

    the Cloud-Edge Continuum; Data Streaming and Batch

    Applications; Data Trends and Challenges.

- Scaling Data Visualization:

    Visual Analytics Algorithms and Foundations; Graph

    and Context Models for Visualization; Analytics

    Reasoning and Sense-making; Visual Representation

    and Interaction; Data Transformation and Presentation.




Authors are invited to submit papers electronically

through the following link:



Submitted manuscripts must represent original

unpublished research that is not currently under review

for any other conference or journal. Manuscripts are

submitted in PDF format and may not exceed ten (10)

ACM-formatted *double-column* pages, including figures,

tables, and references. All manuscripts will be reviewed

and judged on correctness, originality, technical

strength, rigor in analysis, quality of results, quality

of presentation, and interest and relevance to the

conference attendees. Your submission is subject to a

determination that you are not under any sanctions by



At least one author of each paper must be registered for

the conference in order for the paper to be published in

the proceedings. The conference proceedings will be

published by the ACM and made available online via the

IEEE Xplore Digital Library and ACM Digital Library.




Timezone: Anywhere in the world!

Paper Submissions Due: August 3, 2023

Acceptance Notification: September 30, 2023

Camera Ready Papers Due: October 21, 2023




General Co-Chair(s)

    Massimo Villari, University of Messina, Italy

    Omer Rana, Cardiff University, UK

Program Co-Chair(s)

    Geoffrey C. Fox, University of Virginia, USA

    Maria Fazio, University of Messina, Italy



Eirini Eleni Tsiropoulou, Associate Professor

Computer Engineering Vice Chair

Director of Recruiting and Admissions


Department of Electrical and Computer Engineering

University of New Mexico Albuquerque, NM, 87131

Office: 326B

Tel.: (505)-277-5501

Email: [log in to unmask]

Website: PROTON Lab

PROTON Lab’s News: @Tsiropoulou_EE


“Those who know, do. Those that understand, teach.” ~ Aristotle