An official invitation letter will be provided upon successful registration for your participation in the conference.
학술대회 참가 등록이 정상적으로 완료되면 공식 초청장이 발급됩니다.
Plenary, keynote and parallel sessions.
전체회의, 기조연설 및 분과 세션.
Connect with fellow researchers.
동료 연구자들과의 교류.
Digital certificate of participation.
디지털 참가 증명서 발급.
Official letter after successful registration.
등록 완료 후 공식 초청장 발급.
E-proceedings & resource materials.
전자 논문집 및 참고 자료.
Learn from leading experts & scholars.
저명한 전문가 및 학자들의 강연.
The conference's session tracks effectively support the following SDGs.
본 학술대회의 세션 트랙은 다음의 지속가능발전목표를 효과적으로 지원합니다.
This track focuses on the latest methodologies in predictive modeling that enhance engineering design processes. Participants will explore case studies demonstrating the integration of predictive analytics in design workflows.
This session will delve into innovative data mining techniques that facilitate the integration of Computer-Aided Design and Computer-Aided Engineering. Discussions will highlight the impact of these techniques on design efficiency and accuracy.
This track aims to showcase data-driven strategies for optimizing engineering processes. Presentations will cover various optimization algorithms and their applications in real-world engineering scenarios.
This session will explore the role of design analytics in extracting actionable insights from engineering data. Attendees will learn about tools and methodologies that enhance decision-making in design.
This track focuses on the use of virtual prototyping and simulation in the engineering design process. Participants will discuss advancements in simulation technologies that improve product development cycles.
This session will investigate the applications of machine learning in various aspects of engineering design. Case studies will illustrate how machine learning algorithms can enhance design accuracy and efficiency.
This track will cover methodologies for performance analysis in engineering systems using data mining techniques. Participants will discuss metrics and tools for evaluating system performance in design contexts.
This session will highlight innovative approaches to design simulation that leverage data mining for improved outcomes. Attendees will explore new simulation frameworks and their implications for engineering design.
This track will examine the implications of big data on engineering design and simulation practices. Discussions will focus on the challenges and opportunities presented by large datasets in the design process.
This session will explore the importance of collaboration and data sharing in engineering design. Participants will discuss frameworks that facilitate effective data exchange among design teams.
This track will address emerging trends in engineering design and data mining that are shaping the future of the field. Experts will share insights on the potential impact of these trends on engineering practices.