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01 Digital Twin & Simulation-Driven Systems
Modeling and simulating "what-if" scenarios for complex industrial environments, enabling manufacturing and supply chain operations to anticipate disruptions, analyze outcomes, and enhance overall efficiency.
Hybrid Supply-Production Digital Twins for Disruption Mitigation in Multi-Echelon Networks
A hybrid Digital Twin system was implemented to derive data-driven supply chain strategies, enabling rapid replanning and rescheduling to counter supply-demand disruptions effectively.
Supply Chain, Manufacturing
Engineering Product Family Design and Optimisation for Mass Customisation
A Digital Twin-driven system that leverages visualisation and in-context data to expedite the redesign and reconfiguration of customizable products, ensuring they consistently meet changing end-user requirements and operational demands.
Product Design
Cognitive Digital Twins for Maintenance Planning in Personalised Production Workflows
Using a causal reasoning mechanism that integrates data from multiple Digital Twin assets to rapidly identify and pinpoint the root causes of defects in complex production lines, thereby accelerating resolution.
Manufacturing
Risk Analysis of Alternative Marine Fuel Releases Using Digital Twins
Recognising that Alternative Maritime Fuels (AMF) are essential for sustainable shipping, this project addresses the critical safety challenge by assessing and mitigating operational risks associated with AMF adoption in green shipping corridors.
Supply Chain, Sustainability
02 Causal Reasoning & Decision Support Systems
Data-driven frameworks that uncover cause-effect relationships, generate explainable insights, and guide adaptive strategies to improve the resilience and performance of complex manufacturing and supply networks.
Supply Chain Strategy Formulation with Explainability for Manufacturing Resilience
This project developed a Graph-Driven Decision Support System (DSS) utilising Multi-Criteria Attributed Graph Embedding to effectively analyse and select alternative suppliers, significantly enhancing supply chain resilience during multi-disruption events.
Supply Chain, Manufacturing
Cost-Optimal Pathfinding Model for Fourth-Party (4PL) Multi-Echelon Logistics
A decision support mechanism that optimises resource tracking and allocation across dynamic, multi-mile omnichannel networks, resulting in demonstrably improved delivery scheduling performance tailored to specific company constraints.
Supply Chain
Facility Layout Optimisation in Fast-Moving Consumer Goods (FMCG)
This project leveraged a novel bio-inspired mechanism and simulation to rapidly optimise flexible shop floor facility layouts, enhancing manufacturing performance and enabling highly customised production.
Manufacturing
03 Human Factors & Product-Service Design
Application of socio-technical and user-centered principles to design systems and product-services that align human needs with effective technological performance
AI-Chatbots for Workforce Training in Safety-Critical Industrial Operations
Developing a few-shot context-engineered AI chatbot to provide consistent, dynamic training for Radio Communication protocols, thereby improving operational efficiency across human-centric sectors such as transportation and heavy manufacturing.
Human Factors
Foundational Models in Human-AI-Robot Collaboration
Leveraging agentic AI and vision-language models to enhance human-robot collaboration via complex scene interpretation and autonomous action-coordination. Through context-aware systems, humans and robots can work together safely, efficiently, and intuitively.
Manufacturing, Robotics, Human Factors
Co-designing with AI: Modeling and Simulating Company-Specific Workflows
Redesigning systems and products for personalized use cases, based on customer requirements elicitation, foundational models, cross-domain knowledge representation and teamwork.
Product-Service Design
Human Digital Twins for Health and Occupational Wellbeing
Exploration into Human Digital Twin systems to monitor physical and cognitive states to support health, safety, and occupational well-being. Dynamic workload consideration, fatigue prediction, and similar functions help to maintain peak performance during Human-in-the-Loop operations.
Human Factors
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