Hybrid Conferencee

International Conference on Data Mining in Civil and Structural Engineering (ICDMCSE - 26)

7th - 8th July 2026 | London, UK
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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 London. 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 London 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 London conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in London, 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 London."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICDMCSE 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 applications in civil engineering
02
Structural health monitoring using data mining
03
Predictive analytics for civil engineering projects
04
Data mining for construction project management
05
Data-driven design in civil engineering
06
Data mining for infrastructure maintenance
07
Machine learning in structural engineering
08
Data mining for environmental impact assessment
09
Data mining for urban planning and development
10
Data mining for safety in civil engineering
11
Real-time data analysis in construction
12
Data mining for resource optimization in civil projects
13
Data mining for risk management in construction
14
Data mining for project scheduling in civil engineering
15
Data mining for quality control in construction
16
Data mining for stakeholder engagement
17
Future trends in civil engineering data mining
18
Data mining for sustainable infrastructure development
19
Data mining for regulatory compliance in construction
20
Case studies of data mining in civil engineering