The Division covers Modelling of Intelligent Manufacturing Systems and Supply Chain Management, Biomedical Systems, application of IT and AI to solve industrial problems, as well as Strategic Studies in Manufacturing and Enterprise. Staff members are recipients of industrial research funding, University funding, and a number of awards for their contributions made in their respective areas. It has also attracted a good number of research students and research engineers and research fellows from various countries.

SEM embarks on both fundamental and strategic research programmes. Academic staff in SEM Division undertake research in a broad range of topics and interests:

• Dynamic Schedule Optimization in Manufacturing
• Analysis and Optimization of Manufacturing Systems
• Stochastic Manufacturing Analysis
• Production Planning and Operations Management
• Statistical Process Control
• Design of Experiments
• Manufacturing Systems
• Global Manufacturing and Operations Management
• Operations Research & Management Science
• Stochastic Processes & Queuing Theory
• Supply Chain Management
• Engineering Logistics
• Reverse Logistics
• Health Care Systems
• Project and Systems Management
• Management of Technology and Innovation
• Strategy, Performance and Technology Management
• Innovations and Organizations
• Creativity and Learning
• Patent Mapping and Patent Strategy
• Design Theory and Methodology
• Machine Learning and Neural Networks in Design
• Artificial Intelligence in Design
• Learning in Design
• Collaborative Robotics

• Ergonomics/Human Factors
• Team Performance
• Virtual Reality
• Human-Computer Interaction
• Affective Design and Kansei Engineering
• Human Factors in Process Control and Formal Methods
• Occupational Biomechanics and Safety
• Rehabilitation Engineering

• Biomedical Application and CAD/CAM
• Bioreactors for Tissue Engineering and Regenerative Medicine/
• Artificial Organs