Hybrid Conferencee

International Conference on Cloud-Based Data Science Platforms for Engineering (ICCDBP - 26)

3rd - 4th July 2026 | Toronto, Canada
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 Toronto. 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 Toronto 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 Toronto conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Toronto, 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 Toronto."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICCDBP 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 Data 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
Cloud computing architectures for data science
02
Data management strategies in engineering
03
Machine learning applications in cloud platforms
04
Big data analytics for engineering solutions
05
Scalable data processing in cloud environments
06
Security challenges in cloud-based data science
07
Real-time data analysis in engineering applications
08
Collaborative data science platforms for engineers
09
Data visualization techniques for engineering data
10
Cloud-based tools for predictive analytics
11
Interoperability in cloud data science platforms
12
Data governance in engineering cloud solutions
13
Performance optimization in cloud data processing
14
Case studies of cloud data science applications
15
User experience design for data science tools
16
Integrating IoT data in cloud platforms
17
Ethical considerations in cloud data usage
18
Cloud infrastructure for engineering data pipelines
19
Future trends in cloud-based data science
20
Cross-disciplinary approaches to data science