Publications
Research
Peer-reviewed work from the PhD years, on AI-driven assembly line design and manufacturing automation.
- 2024
Swarm Intelligence-Based Framework for Accelerated and Optimized Assembly Line Design in the Automotive Industry
Two discrete metaheuristics for hybrid assembly line balancing beat expert-tuned baselines by up to 20% on cycle time. Journal of Intelligent Manufacturing.
- 2024
Online Reinforcement Learning for Designing Automotive Hybrid Assembly Sequence: A Task Clustering-Guided Approach
A task-clustering-guided reinforcement learning approach for sequencing hybrid automotive assembly lines. IFIP AIAI 2024, Corfu.
- 2023
A Comparative Analysis of Hybrid Assembly Line Key Performance Indicators Between a Real-world Industrial Setting and a Fast Discrete Event Simulator
Comparing KPIs measured on a real hybrid assembly line against a fast discrete-event simulator. IEEE IEEM 2023, Singapore.
- 2022
ManufactSim: Manufacturing Line Simulation Using Heterogeneous Distributed Robots
A manufacturing line simulator built on heterogeneous distributed robots. IEEE AINA 2022, Sydney.
- 2022
Parameters Correlation of Deep Learning Model for Visual Inspection in the Automotive Industry
Combining model confidence scores with visual explanation heatmaps to improve automotive weld-seam inspection accuracy. IEEE ICCCR 2022, Shanghai.