| Prof. Huiyu ZhouUniversity of Leicester, UKBreif Introduction：Dr. Huiyu Zhou received a Bachelor of Engineering degree in Radio Technology from Huazhong University of Science and Technology of China, and a Master of Science degree in Biomedical Engineering from University of Dundee of United Kingdom, respectively. He was awarded a Doctor of Philosophy degree in Computer Vision from Heriot-Watt University, Edinburgh, United Kingdom. Dr. Zhou currently is a full Professor at School of Computing and Mathematical Sciences, University of Leicester, United Kingdom. He has published over 500 peer-reviewed papers in the field. His research work has been or is being supported by UK EPSRC, ESRC, AHRC, MRC, EU, Royal Society, Leverhulme Trust, Invest NI, Puffin Trust, Alzheimer’s Research UK, Invest NI and industry. Speech Title:Artificial intelligence and applications in smart agriculture. Abstract: Smart agriculture refers to the usage of modern ICT technologies on farms in order to increase quality and quantity of crops whilst optimising human labour. In this talk, we will first describe the relationship between AI and agriculture, and then discuss two case studies that deeply involve AI to support farming. First of all, we will discuss the impacts of weeds on yield and quality of rice, and then propose a deep learning model to separate rice seedlings and weeds for down-stream tasks. Secondly, we will discuss the use of deep learning technologies in estimating internal structures of rice seedling stems so as to examine health and growth of rice seedlings. Finally, we will summarise this talk and point out our future work. |
| Assoc. Prof. Na LiXi' an Jiaotong-Liverpool University, ChinaBreif Introduction：Are you ready for the digital future? Hello, I’m Na (Lina) Li, Associate Professor, Director of the MSc Digital Education Programme in the Department of Educational Studies, and Co-director of the Research Centre for AI and Education within the Academy of Future Education (AoFE) at XJTLU. I'm a Senior Fellow of Advance HE (SFHEA), Associate Editor for the European Journal of Education (EJED) and Editorial Board Member of the British Journal of Educational Technology (BJET), both of which are SSCI-indexed (Q1) journals. A leading guest editor for BJET’s 2024-2025 special issue on AI and learner emotion. Guest editor for Developing Academic Practice (DAP)’s 2024-2025 special issue on AI in learning and teaching. I hold a PhD in Education, jointly supervised by XJTLU and the School of Psychology at the University of Liverpool. I'm honoured to be the first PhD graduate and winner of the Awards for Thesis Writing and Academic Performance at AoFE. My vision of research is to build a sustainable HeXie digital learning ecology for quality and agile education. I’m passionate about interdisciplinary research and educational innovations with technology, including Virtual Learning environments (VLE/LMS), Artificial Intelligence In Education (AIED), and Digital Game-based Learning (DGBL). Since 2006, I have been deeply engaged in the practice of the information technology industry, digital education teaching and research, and has published many high-quality publications. For more details, please check: https://www.researchgate.net/profile/Na-Li-120 |
