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Authors are invited to submit original, unpublished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]<mailto:[log in to unmask]>
Website: PROTON Lab<>
PROTON Lab's News: @Tsiropoulou_EE<>

"Those who know, do. Those that understand, teach." ~ Aristotle