Abstract：While a lot of efforts have been spent on developing computer algorithms to solve computer vision and machine learning problems, less attention is paid on the physical image formation process and human-aided discovery. Using biomedical image analysis as an example, I will demonstrate how physics and humans in the loop can benefit the algorithm development and boost the algorithm performance. In the second part of the talk, I will briefly introduce several multidisciplinary projects from my group, including social intelligent computing, infrastructure inspection by robotic exploration, cyber physical systems for smart manufacturing, and human-robot collaboration.
简历：尹朝征，博士，密苏里科技大学计算机科学系副教 授、Daniel St. Clair 荣誉教授（2015 至今），工程学院 Dean’s Scholar（2016 至今）。尹博士分别于 1999 年、2002 年在清华大学自动化学院获得学士、硕士学位，于 2004 年在威斯康星大学麦迪逊分校电气与计算机工程系获得硕士学位，于 2009 年于宾夕法尼亚州立大学计算机科学及工程系获得博士学位，之后在卡耐基梅隆机器人学院进行两年博士后研究，于 2011 年加入密苏里科技大学计算机科学系至今。尹博士团队在计算机视觉和生物医学图像领域发表高水平论文80 余篇，获得 CVPR Best Doctoral Spotlight Award、MICCAI Young Scientist Paper Award、NSF CAREER 等奖，并于 MICCAI2015、WACV2016、CVPR2017、WACV2018、WACV2019 担任领域主席。
Bio: Zhaozheng Yin received his PhD in Computer Science and Engineering from Pennsylvania State University in 2009. After two-year postdoc training at Carnegie Mellon University, he joined Missouri University of Science and Technology as a faculty member in 2011. He has been appointed as a Daniel St. Clair Fellow in the Computer Science department since 2015, and a Dean’s Scholar in the College of Engineering and Computing since 2016. His group has published eighty papers in computer science conferences and journals including a few paper awards in CVPR and MICCAI. He received NSF CAREER award in 2014 and served as an Area Chair of MICCAI2015, WACV2016, CVPR2017, WACV2018 and WACV2019.
Openings: research assistant positions with competitive stipends (tuitions are waived) are available in Dr. Yin’s lab (www.mst.edu/~yinz).
时间与地点：09月26日下午06:30 浙江大学玉泉校区周亦卿大楼一楼报告厅
欢迎广大师生参加！
