个人简介

本科毕业于南京大学（2009-2013），博士毕业于南京大学（2013-2018）。

主要研究方向为集成电路设计与设计自动化。近几年主要做AI辅助芯片设计自动化、多核芯片通信架构、高能效可重构AI推理与训练芯片等方向。

英文简介

Yuxiang Fu is currently an Assistant Professor (Research Fellow)、Doctoral Supervisor in School of Integrated Circuits, Nanjing University. In 2018, he joined the School of Electronic Science and Engineering, Nanjing University.

He received the B.S. degree in microelectronics and solid state electronics and the Ph.D. degree in electronic science and technology from Nanjing University, Nanjing, China, in 2013 and 2018, respectively.

His research interest includes AI for chip architecture design automation, NoC-based multi-core architectures, high energy efficiency AI chip design, reconfigurable computing, and 3D IC design. His papers are published in prestigious international journals (such as IEEE TCAD/TCAS-I/TVLSI/TCAS-II/IEEE SENSORS JOURNAL) and proceedings (such as ICCD, CASES, ISCAS, BioCas). He has been authorized 15 patents.