About Aydin
Aydin is a Reader in Manufacturing Systems and a CIRP associate member in the Department of Mechanical Engineering, University of Bristol.
He received his PhD in Innovative Manufacturing Technology in 2007 and has since studied for an MSc in Software engineering.
He have more than 88 academic publications including more than twenty journal papers and a research portfolio of £2.5 million.
His research interests are in informatics and artificial intelligence in manufacturing.
Projects
Publications
- A methodology for information modelling and analysis of manufacturing processes for digital twins
- Information Modelling of Extrusion-based 3D Printing Process for Digital Twins
- Development of a Computational Design Tool for the Automatic Routing of Hairpin End-Windings
- Supporting manufacturing interactions through Artificial Intelligence: An appraisal of the literature
- End-to-End Supply Chain Resilience Management using Deep Learning, Survival Analysis, and Explainable Artificial Intelligence
- Digital Twin Design and Evaluation for Dynamically Optimised Distribution Strategy in Food Supply Chains: An Exploratory Case Study
- Characterisation and evaluation of identicality for digital twins for the manufacturing domain
- A data-driven simulation-optimization framework for generating priority dispatching rules in dynamic job shop scheduling with uncertainties
For more publications, please visit https://www.bristol.ac.uk/people/person/Aydin-Nassehi-bf5d6c2b-eb64-4eb9-ba09-6f79d272dac4/