应我院邀请，爱丁堡大学杨云杰博士（博导）于11月11日下午16:00点在腾讯会议平台上作了题为《Flexible tomography for robotics perception》的专题学术讲座。我院负责人、师生代表100余人参加讲座。讲座由副院长王萌主持。

杨云杰博士首先介绍了自己团队在柔性断层扫描技术方面的最新研究成果。其次，场耦合电子皮肤机器人模拟以及基于机器学习的电子皮肤数据到感知转换算法。最后，介绍了机器人感知的柔性断层成像发展趋势。

讲座结束后，与会青年老师和研究生就讲座内容和研究热点进行了提问，杨博士对大家提出的问题均作了详细解答。

（文 徐世周）

专家简介：

Yunjie Yangis the Lecturer (Assistant Professor) and Ph.Dsupervisor in Data Driven Innovation at the School of Engineering, The University of Edinburgh (UoE), UK. He received his B.Eng.,M.Sc., and Ph.D. degrees fromAnhuiUniversity, Tsinghua University, and The University of Edinburgh. He briefly worked as a Postdoctoral Research Associate in Chemical Species Tomography at UoE and then was appointed as the Lecturer and Chancellor's Fellow in Data Driven Innovation, where he established and led the SMART research group. His research interests are in the areas of sensing and imaging for medical, robotics, andenergyengineering, and machine learning ininverseproblems. His research has led to over 90 high-impact journal and conference publications andhasbeen fundedby EU H2020, Data Driven Innovation Program, Wellcome Trust, and multiple industry funders. He serves as the Associate Editor of IEEE Transactions on Instrumentation and Measurement, IEEE Access, Frontiers in Electornics, and the Guest Editor of IEEE Sensors Journal and Chemosensors. Heisthe recipient of the 2015 IEEE I&M Society Graduate Fellowship Award and several best paper/poster awards.