Award: Best SIPI Symposium Paper Award – Honorable Mention

Paper Title: Reinforcement Learning-Based Power/Ground Ball Map Design Optimization for Multi-Power Domain in 3D-ICs Package

Authors: Seunghun Ryu, Dongryul Park, Hyunwoong Kim, Seonghi Lee, Sangwook Lee, Seungyoung Ahn (Advisor)

Conference: 2024 IEEE International Symposium on Electromagnetic Compatibility & Signal/Power Integrity (EMC+SIPI)

Date (Location): August 5–9, 2024 (Phoenix, AZ, USA)

Ph.D. candidate Seunghun Ryu from Professor Seungyoung Ahn’s lab at the KAIST CCS Graduate School of Mobility received the Best SIPI Symposium Paper Award – Honorable Mention at the 2024 IEEE International Symposium on Electromagnetic Compatibility & Signal/Power Integrity (EMC+SIPI).

The conference took place from August 5 to 9 in Phoenix, Arizona, USA. The EMC+SIPI Symposium is an international conference held annually by IEEE, focusing on electromagnetic compatibility, signal integrity, and power integrity, with participation from top universities and companies around the world.

Seunghun Ryu presented his paper titled Reinforcement Learning-Based Power/Ground Ball Map Design Optimization for Multi-Power Domain in 3D-ICs Package, which was recognized for its excellence, leading to his selection as an awardee.