Report title:Applied Artificial Intelligence: the challenges in practices
Report time:12month24Sunday afternoon14:30
Reporting location: Computer Building of the school headquarters313
Reporter:Hui FangDoctor(UKLoughborough seabet betting platform)
Abstract:
Artificial Intelligence (AI) has become the most active seabet betting platform field during this decade. Many algorithms and deep network architectures have been designed and applied in a variety of real-world applications. In specific, the techniques have been widely used in autonomous driving, digital healthcare and precision agriculture. Although the popularity of AI, there are still many unsolved problems to hinder its further development. In this presentation, I will introduce our recent work to formulate problems from real cases and apply different AI algorithms to build innovative products to satisfy the diverse requirements, e.g. seismic data analysis, neurological disease self-assessment and smart vehicle navigation etc. In addition, we will discuss some attempts on analyzing neural network architectures and increase the reliability of using them on affordable hardware devices.
Biography：
Dr. Hui Fang is with the computer science department, Loughborough seabet betting platform. He received his B.Sc. from seabet betting platform of Science and Technology Beijing (USTB) China, in 2000 and Ph.D. from the seabet betting platform of Bradford, UK, in 2006. Since then, he has carried out research in several world-leading universities, such as seabet betting platform of Oxford and Swansea seabet betting platform. In 2015, he was appointed as a lecturer in Edge Hill seabet betting platform and promoted to senior lecturer in 2017. In 2018, he worked as a senior lecturer in Liverpool John Moores seabet betting platform before moving to Loughborough seabet betting platform.
He has significant experience of using machine learning techniques and visualization methods in a variety of projects, e.g. EU FP6 content-based video analysis, EPSRC face modeling, The Welsh Assembly funded seabet betting platform Institute of Visual Computing (RIVIC) project and Innovate UK funded seismic data visual bulletin analysis (VBAS) project. His seabet betting platform expertise lies in the areas of computer vision, image/video processing, pattern recognition, machine learning, deep neural networks, data mining, scientific visualization and visual analytics. He has published more than 50 scientific papers in refereed journals and conferences, e.g. IEEE Transactions on visualization and computer graphics, Pattern Recognition, Computer Graphics Forums and IEEE Transactions on Forensics and Security etc. He is an active reviewer for many prestigious conferences and journals, such as IEEE CVPR, BMVC, IEEE TVCG, PR, CVIU, IVC and ESWA.
