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2010-03-16

图像处理和博士学业交流会

余国申博士曾经就读于Telecom ParisTech和Polytechnique,目前在美国从事信号与图像方面研究工作的巴黎高科老校友俞国申将会在下周与各位朋友进行一次经验交流会。他将结合自己的科研经历,为大家介绍图像处理科技的发展、应用、以及就业等情况,并就读博,从事科研与等个人职业规划等内容跟大家交流。

时间定于3月25日,星期四,晚上19点
地点在Télécom二层的Rubis阶梯教室
地址为: 49 rue Vergniaud, 75013, Paris (Métro 6, Glacière)

想了解法国和美国博士学业的详细情况,或对图像信号处理等科研领域有兴趣的同学,可以在下面的表单中注册,参加我们的活动:

http://www.afcp-paristech.org/afcp/inscription/

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PS:

Abstract of the Presetation:

In this informal meeting, I will first present some of my recent research work in image and signal processing. The topics will be quite broad covering image and sound enhancement, computer vision, pattern recognition and neural computation. As I will mainly talk about the motivation and show some state-of-the-art results without going to any technical details, no prerequisite knowledge in any discipline will be required to follow the presentation. In the second half of the meeting, I will be happy to answer your questions and to chat with you (about image and signal processing, about science, about issues related to PhD study, etc..,).

Some of the research work I will present can be found at http://www.cmap.polytechnique.fr/~yu/

Brief Biography:

Guoshen Yu received the B.Sc. degree in electronic engineering from Fudan University, Shanghai, China, in 2003, the engineering degree from Telecom ParisTech, Paris, France, in 2006, the M.Sc. degree in applied mathematics from ENS de Cachan, Cachan, France, in 2006, and the Ph.D. degree in applied mathematics from Ecole Polytechnique, Palaiseau, France, in 2009.

He is now a Postdoctoral Research Associate at the Electrical and Computer Engineering Department, University of Minnesota, Twin Cities. He was a research intern with STMicroelectronics, Agrate, Italy, and with Let It Wave, Paris, France, for one year in 2005–2006. In spring 2008 semester, he was a visiting graduate student in the Mechanical Engineering Department, Massachusetts Institute of Technology (MIT), Cambridge. His research interests include signal, image, and video processing and computer vision.