Hybrid Conferencee

International Conference on Computational Science in Engineering Design (I2CSED - 26)

9th - 10th September 2026 | Singapore, Singapore

10% DISCOUNT

Maximum discount capped at $30. Activate your Scholarly Discount during the payment phase to lower your final checkout amount.

REVEAL OFFER
EARLY10
Sample Abstract
Download
Conference Brochure
Sample Full Paper
Download
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 Singapore. 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 Singapore 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 Singapore conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Singapore, 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 Singapore."
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 4
SDG 4 Quality Education
SDG 8
SDG 8 Decent Work and Economic Growth
SDG 9
SDG 9 Industry, Innovation and Infrastructure
Track 01

Advanced Algorithms in Computational Design

This track focuses on the development and application of advanced algorithms for solving complex engineering design problems. Contributions that explore novel algorithmic strategies and their computational efficiency are particularly encouraged.

Track 02

Statistical Modeling for Engineering Applications

This session invites papers that utilize statistical modeling techniques to address challenges in engineering design. Emphasis will be placed on innovative methodologies that enhance predictive accuracy and decision-making processes.

Track 03

Machine Learning Techniques in Engineering Design

This track explores the integration of machine learning methods into engineering design workflows. Papers should demonstrate how these techniques can optimize design processes and improve outcomes through data-driven insights.

Track 04

High-Performance Computing in Simulation

This session highlights the role of high-performance computing in enhancing simulation capabilities for engineering design. Contributions should focus on computational strategies that leverage parallel processing and cloud computing resources.

Track 05

Numerical Methods for Complex Systems

This track is dedicated to the exploration of numerical methods for modeling and solving complex engineering systems. Papers should address the challenges of accuracy and efficiency in numerical simulations.

Track 06

Optimization Techniques in Engineering Design

This session focuses on optimization techniques that improve engineering design processes. Contributions that showcase innovative approaches to optimization under constraints are particularly welcome.

Track 07

Data Science Applications in Engineering

This track invites papers that demonstrate the application of data science methodologies in engineering design. Emphasis will be placed on case studies that illustrate the impact of data-driven approaches on design efficiency and innovation.

Track 08

Computational Methods for Decision Support

This session explores computational methods that aid in decision support for engineering design. Contributions should focus on frameworks that integrate quantitative analysis with practical decision-making processes.

Track 09

Probability and Risk Assessment in Engineering

This track addresses the role of probability and risk assessment in engineering design. Papers should explore methodologies that quantify uncertainty and inform risk management strategies.

Track 10

Modeling and Simulation of Engineering Systems

This session focuses on modeling and simulation techniques that enhance the understanding of engineering systems. Contributions should highlight innovative approaches to system representation and behavior prediction.

Track 11

Emerging Trends in Computational Science

This track invites discussions on emerging trends and technologies in computational science relevant to engineering design. Papers should explore future directions and the potential impact of these trends on the field.