10% OFF

ON THE TOTAL FEE

Input this Professional Credit at checkout for a max $30.00 offset.

FAST10

10% OFF

ON THE TOTAL FEE

Input this Professional Credit at checkout for a max $30.00 offset.

FAST10
** Fraud Prevention Notice      Be cautious of scams involving cloned emails and fake phone numbers requesting conference or journal fees. Only make payments via Science Net's official event platform and notify us immediately at [email protected] if you suspect fraud.

Hybrid Event

19th - 20th August 2026 | Hawaii, USA

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

4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICCDBP) is dedicated to advancing research excellence by bringing together leading scholars, scientists, and professionals from across the globe. It provides a platform for the dissemination of high-quality research and innovative methodologies.

With a strong focus on Data Science, the conference promotes research that contributes to academic depth, practical insights, and interdisciplinary knowledge integration.

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

Peer Review Process

All submissions evaluated through structured peer-review to ensure academic rigor. Accepted papers may be considered for high-quality journals.

Registration Details

Secure your participation early. Limited slots are allocated on a first-come, first-served basis.

Publication Opportunities

High-quality submissions prioritized for publication in recognized journals and proceedings.

2026 UPDATE

Consistent Academic Support

Science Net ensures that research activities continue without interruption in the current global situation. Participants can engage through digital and hybrid conference formats.