Hybrid Conferencee

International Conference on IoT Data Analytics in Engineering Applications (ICIDAE - 26)

17th - 18th June 2026 | Luxembourg City, Luxembourg
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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 Luxembourg City. 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 Luxembourg City 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 Luxembourg City conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Luxembourg City, 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 Luxembourg City."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICIDAE 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
IoT data analytics for engineering applications
02
Predictive maintenance using IoT data
03
Real-time monitoring in engineering systems
04
Data-driven design in engineering projects
05
Machine learning for IoT data processing
06
Data visualization in engineering applications
07
Cybersecurity challenges in IoT systems
08
Big data applications in engineering
09
Data ethics in IoT analytics
10
Smart sensors and data collection techniques
11
Data integration in engineering workflows
12
Data-driven decision making in engineering
13
Sustainability metrics in engineering projects
14
Collaborative engineering through data sharing
15
Data-driven quality assurance in engineering
16
Future of IoT in engineering applications
17
Data management strategies for IoT
18
User engagement through IoT data insights
19
Impact of AI on engineering processes
20
Data-driven innovations in engineering design