Prof. Fan Yang

compiler techniques for AI accelerators， and his Ph.D degree from Fudan University in 2008. He joined Fudan University as an assistant Professor in 2008. He is now a professor in the School of Microelectronics/State Key Lab of Integrated Circuits and Systems at Fudan University. His research is mainly focused on design automation of integrated circuits， design of AI accelerators， logic simulation，。

DAC 2017 and ASPDAC 2017. He was supported by National Science Foundation for Excellent Young Scholars in 2018. Research FieldsDesign Automation of Integrated Chips and Systems Machine learning techniques for fast evaluations of EM， First Place of ICCAD contest 2022 Problem C. He also got several best paper nominations such as DAC 2014， the VLSI Journal 2018， high-level synthesis， Prof. Fan Yang received his B.E. Degree from Xi’an Jiaotong University in 2003， simulation and optimization of analog circuits。

thermal effects System-level design of integrated chips and systems Design Automation of Analog Circuits Topology optimization of analog circuits Device sizing of analog circuits Placement and routing for analog circuits LLM-based design optimization of analog circuits Design Automation of Digital Circuits Prototyping system design and optimization High-level synthesis and logic synthesis Machine learning driven placement and routing Machine learning based timing modeling and parasitic extraction Design space exploration of CPU Digital Circuit Design Many-core boolean processor design Zero-knowledge proof and Fully homomorphic encryption accelerator design AI accelerator design and AI compiler design Accelerators for sparse GEMM and sparse LU solving ， including modeling， thermal and stress effects Placement and routing algorithms for integrated chips considering EM， physical design， machine learning techniques and their applications in EDA. He won First-class prize of Natural Science Shanghai in 2012。

Best Paper award of Integration， and DFM of digital integrated circuits。