Hybrid Conferencee

International Conference on Computational Algorithms for Data-Intensive Science (I2CADIS - 26)

9th - 10th September 2026 | Singapore, Singapore
Sample Abstract
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Conference Brochure
Sample Full Paper
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Conference Notifications:

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

Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Singapore. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Singapore event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Singapore conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Singapore, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Singapore."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The I2CADIS aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Computational Science, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

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