KAIST student receives best paper award at international symposium

Lee Jung-hyun, a graduate student at KAIST's TERA Lab, was awarded the Best Student Paper — Honorable Mention at the 2026 IEEE International Symposium on Electromagnetic Compatibility, Signal & Power Integrity. The symposium took place from August 3-7 in Dallas, Texas. For his achievement, Lee presented the paper titled "Physics-Aware Tensor Learning for Data-Efficient Multi-Port Power Distribution Network Analysis."

The research proposed a novel tensor-based method for efficiently storing and analyzing vast amounts of power distribution network (PDN) data in advanced semiconductor packages like high-bandwidth memory (HBM) and chiplet systems. By employing Tucker decomposition, a mathematical technique, the team achieved an impressive compression ratio of approximately 695 to 1 during testing on a 256-port PDN, while maintaining the desired reconstruction accuracy. Lee's interest in tensors began during his studies.