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

26th - 27th November 2026 | Vancouver, Canada

International Conference on Data Mining for Structural Integrity and Engineering Health (ICDMSIEH - 26)

4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICDMSIEH) 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 Mining, 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 mining for structural health monitoring
02
Predictive modeling for structural integrity
03
Machine learning in civil engineering applications
04
Big data challenges in structural engineering
05
Data-driven approaches to building safety
06
Sensor technologies for structural assessment
07
Data visualization in structural engineering
08
Artificial intelligence for structural design
09
Data mining for material performance analysis
10
Statistical methods in structural engineering research
11
Data mining for earthquake-resistant structures
12
Integration of IoT in structural monitoring
13
Data management for construction projects
14
Data mining for infrastructure resilience
15
Cybersecurity in structural health data systems
16
Data-driven decision making in construction
17
Trends in structural engineering data analytics
18
Data mining for bridge health assessment
19
Real-time data analysis for structural safety
20
Data mining for retrofitting strategies

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.