Hybrid Conference (In Person / Virtual)

International Conference on Data Mining for Smart Infrastructure Engineering (ICDMSIE - 27)
18th - 19th February 2027 , Boston, USA
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Call For Papers

The ICDMSIE provides a supportive platform for both experienced researchers and early-career academicians to present their work and gain recognition.

The conference covers diverse topics such as Data Mining, encouraging participation from emerging researchers and fostering academic growth.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Data mining for smart infrastructure solutions
02
Machine learning in infrastructure engineering
03
Big data challenges in smart cities
04
Data-driven approaches to infrastructure management
05
Sensor technologies for smart infrastructure
06
Data visualization techniques for infrastructure data
07
Artificial intelligence in infrastructure applications
08
Data mining for urban infrastructure optimization
09
Statistical methods in infrastructure research
10
Integration of IoT in smart infrastructure
11
Data management for infrastructure projects
12
Data mining for energy-efficient buildings
13
Trends in smart infrastructure data analytics
14
Real-time data analysis for infrastructure systems
15
Data mining for transportation infrastructure
16
Cybersecurity in smart infrastructure systems
17
Data-driven decision making in urban planning
18
Data mining for sustainable infrastructure solutions
19
Data mining for infrastructure resilience assessment
20
Data mining for community infrastructure needs

Assessment

Submissions will be reviewed to ensure quality and relevance, with a focus on encouraging emerging research contributions. Accepted papers will be presented and considered for publication opportunities.

Registration

Early-career researchers are encouraged to register and present their work, gaining valuable feedback and academic exposure.

Publication

The conference provides opportunities for emerging researchers to publish their work in recognized platforms.