Prof. Fan Yang received his B.E. Degree from Xi’an Jiaotong University in 2003, 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, including modeling, simulation and optimization of analog circuits, high-level synthesis, logic simulation, physical design, and DFM of digital integrated circuits, design of AI accelerators, compiler techniques for AI accelerators, machine learning techniques and their applications in EDA.

He won First-class prize of Natural Science Shanghai in 2012, Best Paper award of Integration, the VLSI Journal 2018, First Place of ICCAD contest 2022 Problem C. He also got several best paper nominations such as DAC 2014, DAC 2017 and ASPDAC 2017. He was supported by National Science Foundation for Excellent Young Scholars in 2018.

Research Fields

Design Automation of Integrated Chips and Systems

• Machine learning techniques for fast evaluations of EM, thermal and stress effects
• Placement and routing algorithms for integrated chips considering EM, 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