Hybrid Conferencee

International Conference on Data-Driven Engineering and Mining Algorithms (ICDDEMA - 26)

4th - 5th July 2026 | Glasgow, UK
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Conference Brochure
Sample Full Paper
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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 Glasgow. 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 Glasgow 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 Glasgow conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Glasgow, 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 Glasgow."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICDDEMA 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-driven engineering methodologies and practices
02
Machine learning for engineering process optimization
03
Predictive analytics in engineering decision making
04
Big data challenges in engineering applications
05
Data mining techniques for engineering innovation
06
Data visualization for engineering insights
07
Real-time data processing in engineering systems
08
Integration of AI in engineering solutions
09
Collaborative engineering through data sharing
10
Case studies in data-driven engineering
11
Data mining for risk management in engineering
12
Ethics in data-driven engineering practices
13
Future trends in data-driven engineering
14
Data mining for performance evaluation in engineering
15
Data-driven methodologies in engineering research
16
Machine learning for engineering education
17
Data mining for project management in engineering
18
Applications of data mining in engineering fields
19
Data-driven innovations in engineering practices
20
Data mining for sustainable engineering solutions