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Hybrid Event

26th - 27th June 2026 | Kowloon City, Hong Kong

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

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4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICDDSHM) 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
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

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.

Submit Your Paper Today Register Early
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.