View Proposal

Proposer
Mike Chantler
Title
CNN and transformers for Mechatronic Optimisation of Laser Systems
Goal
To develop a program that can allign a laser system to produce maximum output using real time images of laser beams
Description
Most laser systems are currently tuned by hand. This project would produce a produce a program that could use the intensity distribution in images of laser beams to tune their output. Program would be written in python and likely involve both both Transformer and CNN mechanisms. A key issue - would be the design of the hybrid CNN/Transformer architecture. This is part of the Heriot Watt EPSRC Prosperity Partnership group of projects.
Resources
Laser system models, > 5000 image data set, laser experts
Background
Url
Difficulty Level
Moderate
Ethical Approval
None
Number Of Students
2
Supervisor
Mike Chantler
Keywords
machine learning, image processing, optimisation, laser systems
Degrees
Bachelor of Science in Computer Science
Bachelor of Science in Computer Systems
Master of Engineering in Software Engineering
Bachelor of Science in Computing Science
Bachelor of Science in Computer Science (Cyber Security)
Bachelor of Science in Statistical Data Science
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