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Hybrid Event

30th - 31st July 2026 | Basrah, Iraq

International Conference on Machine Learning and Data Mining in Engineering (ICMLDME - 26)

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4

Days

4

Hrs

07

Min

02

Sec

Call For Paper

The (ICMLDME) 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
Machine learning algorithms for engineering applications
02
Data mining techniques in structural engineering
03
Predictive analytics for engineering design
04
Big data challenges in engineering fields
05
AI applications in engineering problem solving
06
Data-driven optimization in engineering processes
07
Statistical methods for engineering data analysis
08
Machine learning for materials engineering
09
Engineering data visualization techniques
10
Real-time data processing in engineering
11
Data mining for fault detection in engineering
12
Integration of IoT in engineering analytics
13
Sustainability metrics in engineering projects
14
Data mining for risk assessment in engineering
15
Collaborative engineering through data sharing
16
Machine learning for energy systems
17
Data-driven innovation in engineering education
18
Ethics in machine learning applications
19
Future of data mining in engineering
20
Case studies of successful data mining

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.

Submit Your Paper Today Register Early
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.