Qiao, Hong
Institute of Automation
Chinese Academy of Sciences
China
Biography
Hong Qiao, is a professor & Ph D. candidates’ supervisor. Holding one hundred outstanding scholarship. She received her M.Phil. degree (wholly sponsored Research Associate by the government of UK) in robotics control from the Industrial Control Centre, University of Strathclyde, Strathclyde, U.K., and the Ph.D. degree (wholly sponsored Research Associate by the government of UK which was rare among overseas students) in robotics and AI from De Montfort University, Leicester, U.K., in 1995. She was one of the 30 University Research Fellows before she completed her PhD study. She was a University Research Fellow at De Montfort University from 1995 to 1997. She was a Research Assistant Professor from 1997 to 2000, and an Assistant Professor from 2000 to 2002, both in the Department of Manufacturing Engineering and Engineering Management, City University of Hong Kong, Hong Kong. From January 2002 to August 2004, she has been a Lecturer (senior scale) in the School of Informatics, University of Manchester, Manchester U.K. She first proposed the concept “attractive regions in the environmentâ€. The work has been reported by the Magazine “Advanced Manufacturing Alert†(New York: Wiley, 1999) and was considered an important breakthrough in 3D robotic precise assembly. Toshio Fukuda’s (prominent professor, IEEE Fellow, the former president of IEEE Association of Robotics and Automation, IEEE Nano Association and winner of IEEE Pioneer Award) written evaluation shows that “Through years endeavor, she (Qiao) proposed the concept ‘attractive regions in the environment’ which is a breakthrough in 3D robotic assembly. Dr. Qiao is the leading expert in this fieldâ€. Dr. Qiao is a member of the Program Committee of the IEEE International Conference on Robotics and Automation in 2001, 2002, 2003, and 2004. She is currently an Associate Editor of the IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS, PART B, and IEEE Transactions on Automation Sciences and Engineering。Hong Qiao, is a professor & Ph D. candidates’ supervisor. Holding one hundred outstanding scholarship. She received her M.Phil. degree (wholly sponsored Research Associate by the government of UK) in robotics control from the Industrial Control Centre, University of Strathclyde, Strathclyde, U.K., and the Ph.D. degree (wholly sponsored Research Associate by the government of UK which was rare among overseas students) in robotics and AI from De Montfort University, Leicester, U.K., in 1995. She was one of the 30 University Research Fellows before she completed her PhD study. She was a University Research Fellow at De Montfort University from 1995 to 1997. She was a Research Assistant Professor from 1997 to 2000, and an Assistant Professor from 2000 to 2002, both in the Department of Manufacturing Engineering and Engineering Management, City University of Hong Kong, Hong Kong. From January 2002 to August 2004, she has been a Lecturer (senior scale) in the School of Informatics, University of Manchester, Manchester U.K. She first proposed the concept “attractive regions in the environmentâ€. The work has been reported by the Magazine “Advanced Manufacturing Alert†(New York: Wiley, 1999) and was considered an important breakthrough in 3D robotic precise assembly. Toshio Fukuda’s (prominent professor, IEEE Fellow, the former president of IEEE Association of Robotics and Automation, IEEE Nano Association and winner of IEEE Pioneer Award) written evaluation shows that “Through years endeavor, she (Qiao) proposed the concept ‘attractive regions in the environment’ which is a breakthrough in 3D robotic assembly. Dr. Qiao is the leading expert in this fieldâ€. Dr. Qiao is a member of the Program Committee of the IEEE International Conference on Robotics and Automation in 2001, 2002, 2003, and 2004. She is currently an Associate Editor of the IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS, PART B, and IEEE Transactions on Automation Sciences and Engineering。
Research Interest
Her research interests include intelligent robotics, pattern recognition, machine learning and data mining.