The Centre for Mathematical Imaging Techniques (CMIT) ran again this summer an intern programme for undergraduate students on "deep learning for mathematical imaging”. The internship provides opportunities for Year 1-3 students to engage in hands-on research experience. This year, 27 students participated in the training, which was given by invited lecturers from Cambridge, Manchester, Liverpool, and MathWorks. In the research part, students worked in small groups on implementing and testing deep reinforcement learning approaches on current research problems in discrete tomography.
We organized a series of online lectures on Python basics, deep learning with PyTorch, Google’s Colab, reinforcement learning, attention networks, and machine learning basics with Matlab. Lectures were given by Hang Yu (UoL), Dr. Liam Burrows (UoL), Tao Du (University of Manchester), Dr. Andreas Alpers (UoL), Hongrun Zhang (University of Cambridge), and Dr. George Amarantidis Koronaios (MathWorks). The students Zhengfei Bian, Chenghao Dong, Zhipeng He, Juncheng Hu, Jisui Huang, Ruishu Jiang, Jincheng Rao, Shiyi Ruan, Guogeng Sheng, Bingkun Wang, Da Wang finished the planned projects, passed with distinction, and obtained a certificate. Congratulations!
Based on the positive experience and popular demand we will offer this internship again next summer to enable students to gain added experience in research in the fast-growing area of data science.