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香港科技大学工学院老师教师导师介绍简介-Ming LIU 刘明

本站小编 Free考研考试/2022-02-01

Ming LIU 劉明



Telephone Number (852) 2358 7058


Email Email
eelium@ust.hk



Office Room CYT2011

Links Personal Web

Google Scholar CdV5LfQAAAAJ

ORCID 0000-0002-4500-238X

Scopus ID 55512872300



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First Name (and Middle Name If Any)
Ming
LIU
劉明




Highest Degree Acquired (e.g. PhD in Engineering Science)
PhD in Mechanical and Process Engineering, Swiss Federal Institute of Technology




Related Web Titles
Acting Head, Robotics & Autonomous Systems Thrust, Systems Hub, HKUST (Guangzhou)
Associate Professor, Department of Electronic and Computer Engineering
Associate Professor, Department of Computer Science and Engineering
Director of Intelligent Autonomous Driving Center




Contact Information Telephone Number (852) 2358 7058


Email Email
eelium@ust.hk



Office Room CYT2011

Links Personal Web

Google Scholar CdV5LfQAAAAJ

ORCID 0000-0002-4500-238X

Scopus ID 55512872300



Research Interests Research Interests
Robotics




Biography Biography
Ming Liu was born in Zibo, Shandong, P.R.China on March 30th, 1984. He is an IEEE Student member since 2012. He received the BA degree in Automation at Tongji University in 2005. During his master study at Tongji University, he stayed one year in Erlangen-Nünberg University and Fraunhofer Institute IISB, Germany, as a master visiting scholar. He graduated as a PhD student from the Department of Mechanical and Process Engineering of ETH Zürich in 2013, supervised by Prof Roland Siegwart.
He is a founding member of Shanghai SWing Automation Ltd. Co. He is also involved in several NSF projects, and National 863-Hi-Tech-Plan projects in China. As a team member, he won the second place of EMAV’09 (European Micro Aerial Vehicle Competition). He won the Best Student Paper Award as first author for MFI 2012 (IEEE International Conference on Multisensor Fusion and Information Integration), the Best Paper Award in Information for ICIA 2013 (IEEE International Conference on Information and Automation) as first author and Best Paper Award Finalists as co-author, the Best RoboCup Baper Award for IROS 2013 (IEEE/RSJ International Conference on Intelligent Robots and Systems). He won twice the innoviation contest Chunhui Cup Winning Award in 2012 and 2013.
Ming Liu’s research interests include dynamic environment modeling, 3D mapping, machine learning and visual control. He’s particularly interested in the investigation of novel, real-time online approaches in solving mobile robot mapping and navigation. In general, he can be stimulated by research in all robotic and intelligent system fields.



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Research Interests Research Interests
Robotics




Biography Biography
Ming Liu was born in Zibo, Shandong, P.R.China on March 30th, 1984. He is an IEEE Student member since 2012. He received the BA degree in Automation at Tongji University in 2005. During his master study at Tongji University, he stayed one year in Erlangen-Nünberg University and Fraunhofer Institute IISB, Germany, as a master visiting scholar. He graduated as a PhD student from the Department of Mechanical and Process Engineering of ETH Zürich in 2013, supervised by Prof Roland Siegwart.
He is a founding member of Shanghai SWing Automation Ltd. Co. He is also involved in several NSF projects, and National 863-Hi-Tech-Plan projects in China. As a team member, he won the second place of EMAV’09 (European Micro Aerial Vehicle Competition). He won the Best Student Paper Award as first author for MFI 2012 (IEEE International Conference on Multisensor Fusion and Information Integration), the Best Paper Award in Information for ICIA 2013 (IEEE International Conference on Information and Automation) as first author and Best Paper Award Finalists as co-author, the Best RoboCup Baper Award for IROS 2013 (IEEE/RSJ International Conference on Intelligent Robots and Systems). He won twice the innoviation contest Chunhui Cup Winning Award in 2012 and 2013.
Ming Liu’s research interests include dynamic environment modeling, 3D mapping, machine learning and visual control. He’s particularly interested in the investigation of novel, real-time online approaches in solving mobile robot mapping and navigation. In general, he can be stimulated by research in all robotic and intelligent system fields.



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