Hybrid Conferencee

International Conference on Multi-Modal Data Integration in Engineering (ICMMDIE - 26)

26th - 27th June 2026 | Copenhagen, Denmark
Sample Abstract
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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 Copenhagen. 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 Copenhagen 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 Copenhagen conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Copenhagen, 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 Copenhagen."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICMMDIE 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 Science, 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
Multi-modal data integration techniques
02
Challenges in integrating heterogeneous data sources
03
Applications of multi-modal data in engineering
04
Data fusion methods for engineering applications
05
Machine learning for multi-modal data analysis
06
Real-time multi-modal data processing
07
Visualization techniques for integrated data
08
Case studies of multi-modal integration
09
Sensor data integration in engineering systems
10
Data quality issues in multi-modal integration
11
Multi-modal data for predictive maintenance
12
Interoperability in multi-modal systems
13
Ethical considerations in data integration
14
Frameworks for multi-modal data analysis
15
Future trends in multi-modal engineering data
16
User-centered design for multi-modal interfaces
17
Scalability challenges in data integration
18
Multi-modal data for smart cities
19
Applications of multi-modal data in healthcare
20
Data governance in multi-modal systems