Design Sciences Laboratory, NTU Singapore

Designing intelligent systems for advanced manufacturing futures.

The Design Sciences Laboratory develops research in digital twins, advanced manufacturing, and engineering decision systems for next-generation industry.

Research

Core research directions

Structured around manufacturing intelligence, advanced engineering design, and sustainable systems thinking.

Overview

Research that links design methods, intelligent systems, and production environments.

The laboratory develops frameworks and technologies for engineering systems that are adaptive, data-driven, and sustainability-oriented.

01

Design Optimization

Optimization for engineering systems, decision structures, and configurable production platforms.

02

Advanced Manufacturing

Additive manufacturing and production innovation for next-generation industrial environments.

03

Digital Twins

Software-defined production twins for prediction, reconfiguration, and operational support.

04

Sustainable Design

Lifecycle strategy, remanufacturing, and sustainable engineering systems.

Selected programme Hyundai-NTU-A*STAR Corporate Lab

Large-scale research on intelligent manufacturing systems and industrial transformation.


Demonstration of CFRP additive manufacturing complex process system for high-strength large lightweight parts

Advanced additive manufacturing of high-strength, large-scale CFRP lightweight structures.


KLab_ Development of AI-based high carbon steel alloy design and sintering-based additive manufacturing technology for high-speed production of power train components in the next-generation mobility

AI-driven alloy design and additive manufacturing for next-generation mobility components.


Tier 1_Module based Reconfigurable Cell Production System Design for Autonomous Mobile Robots using Digital Twins

Reconfigurable manufacturing systems integrating digital twins and autonomous mobile robots.


KETI_ Development and Demonstration of Robotics AI Technology for Intelligence and Optimization of Manufacturing Process

Robotics AI technologies for intelligent and optimized manufacturing processes.

Current lens AI, digital twins, and production intelligence

Research that connects software-defined products, predictive systems, and operational decision-making.

Contact

Design Laboratory (MAE), Block N3.2, N3.2-B1-02
65 Nanyang Drive, Singapore 637460
Email: SKMOON@ntu.edu.sg

Affiliation
School of Mechanical and Aerospace Engineering, NTU Singapore