Hybrid Conferencee

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

15th - 16th June 2026 | Sintra, Portugal
Sample Abstract
Download
Conference Brochure
Sample Full Paper
Download
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 Sintra. 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 Sintra 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 Sintra conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Sintra, 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 Sintra."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICDMSIEH 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 Mining, 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 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