杨铀 - 华中科技大学 - 电子信息与通信学院

个人简介

Bio 1996 B.S and M.S in Department of Mathematics, China University of Mining and Technology, Xuzhou 2003 Assistant Professor in Department of Mathematics, China University of Mining and Technology, Xuzhou 2005 Phd candidate in Institute of Computing Technology, Chinese Academic of Sciences, Beijing 2009 Post Doc fellow in Automation Department, Tsinghua University, Beijing 2011 Chief Scientist and Senior Researcher in Sumavision Research, Beijing 2013 Lecturer (2013-2014), Associate Professor (2014-2020) and Full Professor (2020-) of Department of Information Engineering, Huazhong University of Science and Technology, Wuhan Awards 2011 First Prize Award for Technological Invention, Chinese Ministry of Education, China 2013 3551 Talent Project Award, Donghu National High-Tech Bureau, China 2015 Rising Star of Huazhong University of Science and Technology, China 2015 Chutian Scholar, Ministry of Education, Hubei Provice, China 2015 Outstanding Contributor, UNITAR, United Nations 2016 Huazhong Scholar, Huazhong Univ. Sci. Tech., China 2017 Most Potential Reviewer Award, Journal of Image and Graphics, CSIG 2021 Highly Commended Award of Communication & IT, E&T Innovation Award, U.K. Alumnus　Visting Scholar: 1. Tiejian Chen (2019): Gigapixel imaging system 2. Zhongming Xiu (2020): Gigapixel imaging system

研究领域

查看导师新发文章（温馨提示：请注意重名现象，建议点开原文通过作者单位确认）

High Dimensional Vision: System and Processing, and its applications in 3D Video Broadcasting, Light Field, Virtual/Augmented/Mixed Reality, and human-computer interaction. ■ For Potential Visiting Scholars and Post-Doctoral Research Fellows You are welcome with any academic background for cross-field and multi-discipline research, but a face-to-face interview is needed before you can join. ■ For Ptential Students (both Master and Ph.D candidates) Students with following background are welcome: signal processing, image/video processing, optics and optical engineering, mathematics, computer vision, machine learning, etc. ■ For Internships Students who favorite in following fields are welcome: computer vision, machine learning, virtual/augmented/mixed reality, visual control on robot/drone/unmanned auto, 3D modeling, etc.