Title: AI for EDA
Speaker: Yu Huang, HiSilicon, Huawei
Abstract: Electronic Design Automation (EDA) is critical for designing and manufacturing integrated circuits. Recent advancements of AI technologies can help improving the traditional EDA technology and transferring the IC design experiences from old designs to new designs or from old technologies to the new ones. In this talk, we will take a look of a few examples that apply AI to EDA and demonstrate the advantages of such technologies.
Bio: Dr. Yu Huang is Semiconductor Scientist at Huawei Technologies Co., and EDA Chief Architect of HiSilicon. Before Joining HiSilicon, he was Sr. Key Expert of Mentor Graphics (now Siemens EDA). His research interests include VLSI SoC testing, ATPG, compression, diagnosis, yield analysis and machine learning. He got his Ph.D. in electrical and computer engineering from the University of Iowa, USA. He has more than 70 patents and published more than 140 papers on leading IEEE Journals, conferences and workshops. He is a senior member of the IEEE. He is also an adjunct professor at School of Microelectronics, Fudan University, China.