Hybrid Conferencee

International Conference on Data-Driven Structural Health Monitoring (ICDDSHM - 26)

16th - 17th June 2026 | Chengdu, China
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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 Chengdu. 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 Chengdu 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 Chengdu conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Chengdu, 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 Chengdu."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICDDSHM 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-driven approaches to structural health
02
Machine learning for damage detection
03
Real-time monitoring of structures
04
Challenges in structural health monitoring
05
Statistical methods for health assessment
06
Applications of SHM in civil engineering
07
Deep learning for structural data analysis
08
Case studies in structural health monitoring
09
Impact of IoT on structural health
10
Data fusion techniques for SHM
11
Visualization of structural health data
12
Machine learning algorithms for SHM
13
Future trends in structural health monitoring
14
Integration of diverse data sources
15
Ethical considerations in SHM applications
16
Adaptive monitoring strategies using AI
17
Collaborative approaches to structural health
18
Benchmarking SHM models
19
User experience in SHM applications
20
Machine learning frameworks for structural health