Title: Deep learning and its application to remotely sensed data
Location: Zoom
Abstract: Recently, deep learning has achieved remarkable success in a variety of computer vision tasks, including image classification, object detection, and semantic segmentation. It has also shown potential in remote sensing field for various earth monitoring applications such as land cover classification and agricultural monitoring.
This talk will present real case studies to demonstrate how we apply deep learning approaches to high spatial resolution remotely sensed data for informative decision-making in various applications ranging from land cover classification and object detection, to vegetation/crop disease recognition.
Bio: Prof. Liangxiu Han has a PhD in Computer Science from Fudan University, Shanghai, P.R. China (2002). Prof. Han is currently a Professor of Computer Science at the Department of Computing and Mathematics, Manchester Metropolitan University. She is a co-Director of Centre for Advanced Computational Science and Deputy Director of ManMet Crime and Well-Being Big Data Centre. Han’s research areas mainly lie in the development of novel big data analytics/Machine Learning/AI, and development of novel intelligent architectures that facilitates big data analytics (e.g., parallel and distributed computing, Cloud/Service-oriented computing/data intensive computing) as well as applications in different domains (e.g. Precision Agriculture, Health, Smart Cities, Cyber Security, Energy, etc.) using various large scale datasets such as images, sensor data, network traffic, web/texts and geo-spatial data. As a Principal Investigator (PI) or Co-PI, Prof. Han has been conducting research in relation to big data/Machine Learning/AI, cloud computing/parallel and distributed computing (funded by EPSRC, BBSRC, Innovate UK, Horizon 2020, British Council, Royal Society, Industry, Charity, respectively, etc.). The total value of these projects exceeds £18 million.
Prof. Han has served as an associate editor/a guest editor for a number of reputable international journals (e.g. IEEE Access, Journal of Computational Science, Journal of Medical Systems, Remote Sensing etc.) and a chair (or Co-Chair) for organisation of a number of international conferences/workshops in the field. She has been invited to give a number of keynotes and talks on different occasions (including international conferences, national and international institutions/organisations).
Prof. Han is a member of EPSRC Peer Review College, an independent expert for Horizon 2020 proposal evaluation/mid-term project review, and British Council Peer Review Panel.