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About

Dr. Su-Jin Lee is a multidisciplinary researcher whose work bridges the critical fields of autonomous robotics and advanced materials engineering. Her primary research areas include informative path planning (IPP) for multi-agent systems, autonomous mapping under environmental constraints, and the metallurgical behavior of laser welds in high-performance alloys. In robotics, Dr. Lee has made significant contributions to IPP by developing algorithms that enable multiple unmanned aerial vehicles (UAVs) to collaboratively map environments while accounting for dynamic wind fields—a key challenge for real-world deployment. Her 2018 paper on this topic, with 14 citations, provides foundational methods for optimizing sensor data collection under physical constraints. In materials science, Dr. Lee’s work on solidification cracking in austenitic stainless steel laser welds is equally impactful. Her 2016 study, with 9 citations, introduced a novel laser beam welding Varestraint test to quantitatively evaluate cracking susceptibility across different solidification modes (A, AF, and FA). This work is essential for improving weld integrity in aerospace and nuclear applications. With a total of 27 citations across her most-cited works, Dr. Lee’s dual expertise exemplifies how cross-disciplinary innovation can solve complex engineering challenges.