Call For Papers
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:
- Data mining for engineering design optimization
- Simulation techniques in engineering design
- Data-driven decision making in design processes
- Machine learning applications in design engineering
- Data mining for design validation
- Collaborative design using data mining
- Data mining for design innovation
- Predictive analytics in design engineering
- Data mining for prototype testing
- Data visualization in engineering design
- User-centered design methodologies in engineering
- Data mining for design risk assessment
- Integration of AI in design processes
- Data mining for sustainable design practices
- Data mining for cost-effective engineering solutions
- Data mining for design iteration optimization
- Future trends in engineering design and simulation
- Data mining for design process automation
- Case studies of data-driven design
- Ethical implications of design data mining
Assessment
Submissions will be assessed for originality, innovation, and relevance. Accepted papers will be presented at the conference and considered for publication opportunities in reputed academic platforms.
Registration
Participants are requested to complete the registration process following acceptance of their paper. Registration ensures inclusion in the conference schedule and official records.
Publication
All accepted manuscripts will be eligible for publication consideration in conference proceedings and associated academic journals.