Three papers have been accepted by ASPDAC 2022 as below. The first paper is about new graph convolution network based analysis techniques for emerging chipset design. The second paper is about new fast EM analysis technique consider Joule heating effects. The third paper is about new approximate multiplier design based logarithmic multipliers. Congratulation on the students.

• L. Chen, W. Jin and S. X.-D. Tan, "Fast thermal analysis for chiplet design based on graph convolution networks”,  Proc. Asia South Pacific Design Automation Conference (ASP-DAC’22), virtual,  Jan. 2022. (invited)
• M. Kavousi, L. Chen and S. X.-D. Tan, "Fast electromigration stress analysis considering spatial Joule heating effects”,  Proc. Asia South Pacific Design Automation Conference (ASP-DAC’22), virtual,  Jan. 2022.
• S. Yu, M. Tasnim and S. X.-D. Tan, " HEALM: Hardware-efficient approximate logarithmic multiplier with reduced error”,  Proc. Asia South Pacific Design Automation Conference (ASP-DAC’22), virtual,  Jan. 2022.