Hybrid Conferencee

International Conference on Data Analytics and Knowledge Management in Engineering (ICDAKM - 26)

4th - 5th November 2026 | Crete, Greece

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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 Crete. 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 Crete 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 Crete conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Crete, 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 Crete."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICDAKM 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 Knowledge Management, 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
Big data analytics in engineering
02
Knowledge management systems for data analysis
03
Predictive analytics in engineering projects
04
Data-driven decision making in engineering
05
Visualization techniques for engineering data
06
Machine learning applications in engineering
07
Data governance in engineering environments
08
Case studies in data analytics success
09
Impact of IoT on engineering data management
10
Collaboration tools for data analysis
11
Ethical considerations in data analytics
12
Real-time data processing in engineering
13
Data security in engineering applications
14
Future trends in data analytics
15
Knowledge sharing in data-driven environments
16
Interdisciplinary approaches to data challenges
17
Training for data analytics in engineering
18
Quality assurance in data analytics processes
19
Innovations in data management technologies
20
Impact of cloud computing on engineering data