Professor Aydin Nassehi
BSc, MSc, MSc, PhD
Expertise
Current positions
Head of School
School of Electrical, Electronic and Mechanical EngineeringProfessor of Production Systems
School of Electrical, Electronic and Mechanical Engineering
Contact
Press and media
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Research interests
Smart Manufacturing Systems, Agent-Based Manufacturing Planning and Control, AI in Manufacturing
Projects and supervisions
Research projects
Digital Physical Twinning in Product Development EP/R032696/1
Principal Investigator
Role
Co-Investigator
Managing organisational unit
Department of Mechanical EngineeringDates
01/08/2018 to 31/07/2023
8461 EPSRC Designing the Future: Resilient Trans-Disciplinary Design Engineers via Bath Uni
Principal Investigator
Managing organisational unit
School of Electrical, Electronic and Mechanical EngineeringDates
01/12/2017 to 31/08/2023
Designing the Future: Resilient Trans-Disciplinary Design Engineers
Principal Investigator
Managing organisational unit
Department of Mechanical EngineeringDates
01/12/2017 to 30/11/2022
Designing the Future: Resilient Trans-Disciplinary Design Engineers
Principal Investigator
Managing organisational unit
Department of Mechanical EngineeringDates
01/12/2017 to 30/11/2022
Thesis supervisions
Stochastic models of magnetic gear performance using asymmetric analytical field solutions
Supervisors
A hybrid virtual-physical design methodology to enable the democratisation of design for FDM
Supervisors
An automated system for disassembly of mobile phones at their end of life
Supervisors
Anarchic Manufacturing
Supervisors
Publications
Recent publications
01/01/2024Digital Twin Design and Evaluation for Dynamically Optimised Distribution Strategy in Food Supply Chains
Flexible Automation and Intelligent Manufacturing
Energy Transition on St Helena Island
A Cost–Benefit Analysis Simulation for the Digitalisation of Cold Supply Chains
Sensors
A data-driven simulation-optimization framework for generating priority dispatching rules in dynamic job shop scheduling with uncertainties
Journal of Manufacturing Systems
A generative-based design methodology to enable the democratisation of 3D printing
Design Science