NeST Online Seminar Series

We are delighted to announce the first of our NeST Online Seminar Series.

Wednesday 1st May 2024 at 3pm (BST)

Title: High-order Singular Value Decomposition in Tensor Analysis
Speaker: Professor Anru Zhang (Duke University, USA)


The analysis of tensor data, i.e., arrays with multiple directions, is motivated by a wide range of scientific applications and has become an important interdisciplinary topic in data science. In this talk, we discuss the fundamental task of performing Singular Value Decomposition (SVD) on tensors, exploring both general cases and scenarios with specific structures like smoothness and longitudinality. Through the developed frameworks, we can achieve accurate denoising for 4D scanning transmission electron microscopy images; in longitudinal microbiome studies, we can extract key components in the trajectories of bacterial abundance, identify representative bacterial taxa for these key trajectories, and group subjects based on the change of bacteria abundance over time. We also showcase the development of statistically optimal methods and computationally efficient algorithms that harness valuable insights from high-dimensional tensor data, grounded in theories of computation and non-convex optimization.

For further details, please contact the online seminar organiser for further information and/or the link to the seminar.

The full programme can be found here:

Register for the participation in this event

Our contact information for any questions:

    By clicking “Submit” I agree to Privacy policy and Terms of Use

    Email subscription

    Stay up to date with our events