Ling Shao 









Ling Shao is currently Professor of Computer Vision and Machine Intelligence with the Department of Computer Science and Digital Technologies at Northumbria University, Newcastle upon Tyne and an Advanced Visiting Fellow with the Department of Electronic and Electrical Engineering at the University of Sheffield. 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 from the University of Oxford. Previously, he was a Senior Lecturer (2009-2014) with the Department of Electronic and Electrical Engineering at the University of Sheffield and a Senior Scientist (2005-2009) with Philips Research, The Netherlands. His research interests include Computer Vision, Image/Video Processing, Pattern Recognition and Machine Learning. He has authored/co-authored over 150 papers in well-known journals/conferences such as IJCV, IEEE TIP, TNNLS, TCSVT, TCYB, PR, CVPR, IJCAI, ACM MM and BMVC, and over 10 EU/US patents.

Ling Shao is an Associate Editor of IEEE Transactions on Image Processing, IEEE Transactions on Cybernetics, Information Sciences, and several other journals. He has edited three books and several special issues for journals such as TNNLS and PR. He has organized a number of international workshops with top conferences including ICCV, ECCV and ACM Multimedia. He is/was an Area Chair for WACV'14, BMVC'14/15 and ICME'15 and has been serving as a Program Committee member for many international conferences, including ICCV, CVPR, ECCV, BMVC, ACM MM, etc., and as a reviewer for many leading journals. He is 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.

Call for Papers: Special Issue on Visual Saliency Computing and Learning, IEEE TNNLS

Call for Papers: Special Issue on Discriminative Feature Learning from Big Data for Visual Recognition, Pattern Recognition