Modelling uncertainty in image analysis.

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• Prof. Huiyu Zhou (University of Leicester)
• Tuesday 25 April 2023, 14:00-15:00
• Room 127, School of Engineering Building (Y8).

If you have a question about this talk, please contact Hong Duong.

There are many questions to answer in image interpretation and understanding. Uncertainty in image analysis needs strong and powerful modelling tools to describe the objects in the images. Artificial intelligence (AI) plays a very important role in the design of a robust tool for image representation. Using some examples from his own work on uncertainty analysis, Prof. Zhou will explore how AI can stimulate new concepts or development of dealing with complicated problems and lead us to novel adventures through these applications.

Keywords: Artificial intelligence, image understanding, medical application, object detection and tracking.

bio of the speaker:

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 400 peer-reviewed papers in the field. He was the recipient of “CVIU 2012 Most Cited Paper Award”, “MIUA 2020 Best Paper Award”, “ICPRAM 2016 Best Paper Award” and was nominated for “ICPRAM 2017 Best Student Paper Award” and “MBEC 2006 Nightingale Prize”. 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.

Homepage: https://le.ac.uk/people/huiyu-zhou

This talk is part of the Data Science and Computational Statistics Seminar series.

This talk is included in these lists:

• Data Science and Computational Statistics Seminar
• Room 127, School of Engineering Building (Y8)
• School of Mathematics events

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