[Contiki-developers] IEEE/ACM BDCAT 2025 - Call for Workshops

[Daniel C. <dan...@us...>]

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The 12th IEEE/ACM International Conference on Big Data Computing,
Applications and Technologies (BDCAT2025), December 1-4, 2025 in Nantes,
France.

https://bdcat-conference.org/

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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, and a student symposium.

The BDCAT 2025 will be held in conjunction with the 18th IEEE/ACM
International Conference on Utility and Cloud Computing (UCC 2025) in
Nantes, France.

The BDCAT 2025 Organizing Committee invites proposals for half-day or
one-day workshops to be held prior to or immediately after the main
conference. The workshops aim to spark discussions on cutting-edge,
emerging, visionary, and sometimes controversial topics. Workshops should
be designed to encourage lively interaction and discussion, and a plan to
achieve this must be clearly outlined in the workshop proposals.

The organizers of accepted workshops are responsible for promoting the
workshop by distributing the call for papers, soliciting submissions,
managing the reviewing processes, and finalizing the workshop program. At
least two organizers should plan to be physically present at the workshop
to ensure highly interactive participation and discussions. Workshop
organizers must ensure at least 3 high-quality reviews per paper and an
acceptance rate no higher than 50%.

We encourage workshops on both established research topics to promote newly
developed ideas, as well as workshops on emerging topics with a sufficient
body of research being carried out cross-cutting across utility and cloud
research. Topics of interest include, but are 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

The page limit for accepted regular workshop papers is 6 pages, including
all figures, tables, and references. Each paper should be presented in
person at the workshop.

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Workshop Proposal Submission Instructions

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CONTEXT & SCOPE

Proposals for workshops should be submitted in PDF format, must not exceed
4 pages (font 11pt) in length, and contain the following information:

- The name and acronym of the workshop.

- An abstract of the workshop and how it is aligned with/complements the
topics of BDCAT.

- A brief description of why and to whom the workshop is of interest.

- The names, affiliations, email, and short bio (up to 10 lines) of the
workshop organizers.

- A list of potential program committee members, program committee chairs,
and their prior experience with organizing workshops/conferences. This
international committee should comprise at least 10 people knowledgeable
about the technical issues to be addressed, with a balanced background, and
preferably with no more than 2 members from the same institution.

- A description of the expected structure of the workshop (papers, invited
talks, panel discussions, etc.) specifying the desired/planned length of
the workshop (half day or full day).

- Estimation of the audience size.

- History of previous occurrences of the workshop, including attendance,
the number of papers or presentations submitted and accepted, and the links
to the corresponding websites (if any).

- A publicity plan for attracting submissions and attendees. Please also
include the expected number of submissions, accepted papers, and attendees
that you anticipate for a successful workshop.

- Possible related special issues of indexed journals.

- A preliminary call for papers with deadlines (see “Important Dates”
sections)

Submit your workshop proposal by e-mail to the chairs:
gui...@im... , sil...@in... ,
th...@ni...

IMPORTANT DATES

    Workshop Proposals Due: 02 July 2025

    Notification of Acceptance: 09 July 2025

    URL of Workshop: 16 July 2025

    Camera-ready & Registration: October 2025

    Workshops: 1-5 December 2025

Note: Workshops may be approved and announced early based on the quality of
the proposal and the track record of their previous editions.

RESPONSIBILITIES

Workshop organizers will be responsible for:

- Setting up the submission system of their choice.

- Inviting TPC members.

- Producing a website and a “Call for Papers/Participation” for their
workshop. The URL should be sent to the BDCAT Workshops chairs. The call
must clearly state that the workshop is open to all members of the Cloud,
Edge, Fog, Big Data, Grid, and Cluster Computing communities.

- Ensuring that all workshop papers are a maximum of 6 pages in length,
following the main conference format. Additional pages may be purchased (in
some circumstances), subject to approval by the proceedings chair.

- Providing a brief description of the workshop for the conference web page
and program.

- Selecting participants and determining the format of the workshop.

- Advertising the workshop beyond the conference web page.

- Assisting in producing a camera-ready version of the workshop proceedings.

- Ensuring that at least one workshop organizer attends the conference in
person to manage the workshop sessions.

The BDCAT 2025 Conference Organizing Committee will be responsible for:

- Providing a link to the workshop’s website on the main conference site.

- Providing logistics support and a meeting place for the workshop.

- Determining the workshop date and time in conjunction with the organizers.

- Providing copies of the workshop proceedings to attendees. Workshop
proceedings will be published by IEEE, following the BDCAT conference
proceedings for the current year.

ADDITIONAL NOTES

- If the workshop does not attract enough submissions, the BDCAT 2025
Organizing Committee may merge it with another workshop or cancel it.

- Workshop organizers must ensure high-quality reviews with at least 3
reviews per paper and an acceptance rate no higher than 50%.

- Workshops are not automatically endorsed by IEEE or ACM and should not
use these organizations’ names in their titles.


Best regards,

Daniel Cordeiro

University of São Paulo, Brazil

https://each.usp.br/dc/