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

9th - 10th July 2026 | San Diego, USA

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

4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICDMCSE) 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 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

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.