Hybrid Conferencee

International Conference on Data Privacy and Security in Engineering Data (ICDPSED - 26)

15th - 16th June 2026 | Stavanger, Norway
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Conference Brochure
Sample Full Paper
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Conference Notifications:

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Stavanger. 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 Stavanger 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 Stavanger conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Stavanger, 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 Stavanger."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICDPSED 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
Data privacy challenges in engineering data
02
Cybersecurity strategies for engineering data
03
Data protection regulations in engineering
04
Real-time monitoring of data security
05
Data ethics in engineering practices
06
Impact of AI on data privacy
07
User engagement through data security measures
08
Data management strategies for privacy compliance
09
Future trends in data privacy technologies
10
Collaborative data protection in engineering
11
Data visualization for security insights
12
Machine learning for anomaly detection
13
Data-driven approaches to risk assessment
14
Integration of IoT in data security
15
Quality assurance in data protection measures
16
Data-driven innovations in privacy technologies
17
Statistical methods for data security analysis
18
Case studies in engineering data privacy
19
User experience improvements through data security
20
Data governance frameworks for engineering data