Hybrid Conference (In Person / Virtual)

International Conference on Computational Algorithms for Data-Intensive Science (I2CADIS - 27)
1st - 2nd February 2027 , London, UK
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Conference Notifications:

"Be sure to check this section regularly for all IIRD Global Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

  • Abstract Submissions Open:
    "We are now accepting abstract submissions for the IIRD Global Conference in London. Submit your abstract by today to be part of this exciting international event." Call for Abstracts – Submit Now!
  • Paper Submission Guidelines:
    "Please ensure your paper follows the submission guidelines for smooth processing. Visit our paper submission page for more details."
  • Peer Review Process:
    "The peer review process will begin soon. Authors will receive valuable feedback that will help enhance their presentations for the London conference."
  • Networking with Global Experts:
    "Join global experts at our conference in London and engage in meaningful conversations. Build relationships that last." Register now to join!
  • Best Paper Presentation Award:
    Dr. Shatha Hawarna from Hamdan Bin Mohammed Smart University received the Best Paper Presentation Award at (ICBAI-25) in Bangkok, Thailand.
  • SDG-Inspired Conference Focus:
    "The conference will explore themes related to sustainability and inclusive development, with an emphasis on research that contributes to global well-being."

Call For Papers

The I2CADIS provides a supportive platform for both experienced researchers and early-career academicians to present their work and gain recognition.

The conference covers diverse topics such as Computational Science, encouraging participation from emerging researchers and fostering academic growth.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Data-intensive algorithms for scientific research
02
High-performance computing in data analysis
03
Big data challenges in computational science
04
Machine learning algorithms for data science
05
Parallel computing for data-intensive applications
06
Data visualization techniques for large datasets
07
Statistical methods for data-intensive science
08
Data mining applications in scientific research
09
Computational methods for big data processing
10
Algorithms for real-time data analysis
11
Data-driven decision making in science
12
Cloud computing for data-intensive applications
13
Data management strategies in computational science
14
Interdisciplinary approaches to data science
15
Optimization of algorithms for data processing
16
Data-intensive simulations in environmental science
17
Ethics in data-intensive research
18
Future trends in computational algorithms
19
Applications of AI in data-intensive science
20
Collaborative data science in research

Assessment

Submissions will be reviewed to ensure quality and relevance, with a focus on encouraging emerging research contributions. Accepted papers will be presented and considered for publication opportunities.

Registration

Early-career researchers are encouraged to register and present their work, gaining valuable feedback and academic exposure.

Publication

The conference provides opportunities for emerging researchers to publish their work in recognized platforms.

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