Seminar

From electric vehicles to ICT equipment, every Watt consumed is converted and controlled by power converters several times from the end to end. It is pivotal for energy saving and decarbonisation that power converters achieve high efficiency, high reliability, low cost, and miniaturization. We will demonstrate a new design paradigm for power converter systems by […]

MRI is a mature non-invasive medical imaging technology, which is why the human MRI machines from all major manufacturers are very similar. Nonetheless, the development and dissemination of novel MR acquisition techniques is hampered by the notoriously difficult and time-consuming task of implementing new methods on a particular MR vendor’s platform since it must be […]

Non-invasive, localized delivery and activation of chemical reactions and chemical release deep inside body is still challenging. In this talk, I will cover how soft materials with energy transduction capabilities can address these challenges. In the first part, I will showcase our efforts in developing soft materials that facilitate mechanochemistry, a chemical process initiated by […]

The separation and collection of photo-generated charge carriers in light-harvesting devices are limited by the losses and ambiguous dynamical events at the surfaces and interfaces of the absorber layers.1-3 These events occur in ultrafast time scales and can only be visualized selectively in space and time by scanning ultrafast electron microscopy (the sole technique capable […]

In 2016, deep learning techniques have been introduced to solve the inverse problem of MR image reconstruction from undersampled data from accelerated acquisitions (1,2,3). Since then, the field has grown substantially, and a wide range of machine learning methods have been developed and applied to a wide range of imaging applications. In this talk, I […]

Renewable energy is the key to achieving carbon neutrality. However, the large-scale integration of renewable energy sources poses tremendous challenges to the stable operation of modern power systems, as the systems become much more complex and are under lots of uncertainties. In particular, the grid interface of renewable generators (i.e., power electronics converters) generally have […]

Robot learning has witnessed significant progress in terms of generalization in the past few years. At the heart of such a generalization, the advancement of representation learning, such as image and text foundation models plays an important role. While these achievements are encouraging, most tasks conducted are relatively simple. In this talk, I will talk […]