报告题目：AI Research and Education in the UAE
Ling Shao is the Founding CEO and Chief Scientist of the Inception Institute of Artificial Intelligence, Abu Dhabi, UAE. He received the B.Eng. degree in Electronic and Information Engineering from the University of Science and Technology of China (USTC), the M.Sc. degree in Medical Image Analysis and the Ph.D. (D.Phil.) degree in Computer Vision at the Robotics Research Group with Professor Sir Michael Brady from the University of Oxford. Previously, He was Chair Professor in Computer Vision and Machine Learning and Director of the Artificial Intelligence Laboratory with the University of East Anglia, Norwich, Chair Professor (2014-2016) in Computer Vision and Machine Intelligence and Head of the Computer Vision and Artificial Intelligence Group with Northumbria University, Newcastle upon Tyne, a Senior Lecturer (2009-2014) with the University of Sheffield and a Senior Scientist (2005-2009) with Philips Research, The Netherlands. His research interests include Computer Vision, Deep Learning/Machine Learning, Medical Imaging, and Image/Video Processing. He has authored/co-authored over 300 papers in top conferences/journals such as ICCV, CVPR, ECCV, NeurIPS, MICCAI, TPAMI and IJCV and over 10 EU/US patents.
Ling Shao has been an Associate Editor of IEEE Transactions on Image Processing, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Cybernetics, and several other journals. He has edited four books and several special issues for journals such as IJCV. He has organized a number of international workshops with top conferences including ICCV, ECCV and ACM Multimedia. He was the General Chair for BMVC 2018, has been an Area Chair or Program Committee member for many conferences, including ICCV, CVPR, ECCV and ACM MM, and a reviewer for many leading journals. He was selected as a Highly Cited Researcher by the Web of Science in 2018 and 2019. He is a Fellow of the IAPR, a Fellow of the British Computer Society, a Fellow of the IET, a Senior Member of the IEEE, and a Life Member of the ACM.
We live in the age of Artificial Narrow Intelligence, which focuses primarily on research and solutions for practical problems within specific tasks or industries. As such, there is a vast number of unsolved or unexplored problems across various domains of Artificial Intelligence (AI), which may require perseverance over multiple generations to address. In order to build a sustainable ecosystem for this, promoting AI education should be of equivalent, or higher, importance as pursuing AI research. However, as AI talents in academia are being increasingly poached by tech giants, there are rising challenges to maintaining sustainable AI education. Such challenges are particularly prominent in the UAE, where AI talent is a scarce commodity and, until now, predominant focus has been on the large-scale deployment of AI technology. With the Mohammed bin Zayed University of Artificial Intelligence (MBZUAI), we hope to change this. With this in mind, in this talk, I will be presenting the uniqueness of the UAE in terms of AI development, and our approaches for promoting both AI research and education within the country.
邀请人：杜博 教授、夏桂松 教授