Hybrid Conferencee

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

18th - 19th August 2026 | Shah Alam, Malaysia

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Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Shah Alam. 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 Shah Alam 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 Shah Alam conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Shah Alam, 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 Shah Alam."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 9
SDG 9 Industry, Innovation and Infrastructure
SDG 12
SDG 12 Responsible Consumption and Production
SDG 17
SDG 17 Partnerships for the Goals
Track 01

Advancements in Predictive Modeling for Engineering Design

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.

Track 02

Data Mining Techniques in CAD/CAE Integration

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.

Track 03

Process Optimization through Data-Driven Approaches

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.

Track 04

Design Analytics: Transforming Data into Insights

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.

Track 05

Virtual Prototyping and Simulation Techniques

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.

Track 06

Machine Learning Applications in Engineering Design

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.

Track 07

Performance Analysis of Engineering Systems

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.

Track 08

Innovative Approaches to Design Simulation

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.

Track 09

Big Data in Engineering Design and Simulation

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.

Track 10

Collaborative Design and Data Sharing

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.

Track 11

Future Trends in Engineering Design and Data Mining

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.