Ïã¸ÛÁùºÏ²Ê

A dedicated Ïã¸ÛÁùºÏ²Ê 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:Ìý

Supervisor(s): Prof Simon Jolly

Introduction:Ìý

I am a dedicated PhD student at Ïã¸ÛÁùºÏ²Ê 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.

---

Project description:ÌýÌý

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 Ïã¸ÛÁùºÏ²Ê 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:ÌýPeak.AI – Meta Learning applications on Supply Chain Management

Placement:Ìý

---

Ìý

Ìý