Febian Febian

A dedicated UCL CDT DIS PhD student specialising in Data analysis and machine learning.

Project title: Machine Learning and FPGA optimisation for proton beam therapy Proton therapy

Research Group: High Energy Physics

Supervisor(s): Prof Simon Jolly

Introduction: 

I am a dedicated PhD student at UCL CDT DIS, specialising in data analysis and machine learning. I am deeply passionate about leveraging cutting-edge technologies to solve real-world problems and drive innovation. With a strong academic background in Electronic and Electrical Engineering, I am committed to pushing the boundaries of knowledge and making meaningful contributions to the field of proton beam therapy.

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Project description:  

Machine Learning and FPGA Optimisation for proton beam therapy Proton therapy is a more precise form of radiotherapy that provides significant benefits over conventional X-ray radiotherapy, particularly for children. At UCL we are developing new Quality Assurance detectors for measuring the size, position, range and dose of the clinical proton beam. This PhD project will focus on the fast reconstruction of proton range and position using FPGA’s, with the application of Machine Learning techniques to improve the speed and accuracy of these QA measurements.

First year group project: Peak.AI – Meta Learning applications on Supply Chain Management

Placement: 

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