Hybrid Conferencee

International Conference on Engineering Design and Simulation using Data Mining (ICEDSDM - 26)

16th - 17th June 2026 | Toulouse, France
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 Toulouse. 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 Toulouse 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 Toulouse conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Toulouse, 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 Toulouse."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICEDSDM 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 mining for engineering design optimization
02
Simulation techniques in engineering design
03
Data-driven decision making in design processes
04
Machine learning applications in design engineering
05
Data mining for design validation
06
Collaborative design using data mining
07
Data mining for design innovation
08
Predictive analytics in design engineering
09
Data mining for prototype testing
10
Data visualization in engineering design
11
User-centered design methodologies in engineering
12
Data mining for design risk assessment
13
Integration of AI in design processes
14
Data mining for sustainable design practices
15
Data mining for cost-effective engineering solutions
16
Data mining for design iteration optimization
17
Future trends in engineering design and simulation
18
Data mining for design process automation
19
Case studies of data-driven design
20
Ethical implications of design data mining