Research Fellow, Faculty of Science
My current research at Computer Vision Lab, University of Nottingham is focused on application of Artificial Intelligence and Machine Learning to plant phenotyping and segmentation. I am working on… read more
My current research at Computer Vision Lab, University of Nottingham is focused on application of Artificial Intelligence and Machine Learning to plant phenotyping and segmentation. I am working on LeMuR Project; a Biotechnology and Biological Sciences Research Council funded Project. The key idea is to carry out plant root phenotyping via Learned Multi-resolution Image Segmentation.
This will result in efficient analysis and segmentation of plant roots, and help biologists analyze plant traits under different natural conditions, with the ultimate aim of improving food security for the UK. The previous research in this domain at the University of Nottingham had led to the creation of manual phenotyping classification tool called RootNav 2.0.
I have been working over the past year in developing the next generation of fully automatic phenotyping tool from 2D root images, named as ROOTNAV 2.0.
My Post-Doctorate research work at USTC China was focused on semantic segmentation of 2D images, where I specialized in road scenes using deep learning-based convolution neural networks (CNNs). The proposed designs of the CNNs were novel approaches that have shown a real-time application of CNNs could be possible for areas like road scene understanding. The resultant network architecture could be the best choice for video-based advance driving assistance system (ADAS) for offering improved performance and enhanced results. It was a low-cost solution with efficient performance in different road and weather conditions.
The University of Nottingham
Nottingham, NG8 1BB
telephone: +44 (0) 115 8466543
Connect with the University of Nottingham through social media and our blogs.
Campus maps | More contact information | Jobs
Browser does not support script.