Myungin Lee

Myungin is a researcher who designs multimodal XR experiences based on HCI, signal processing, and machine learning. He holds a Ph.D. in Media Arts and Technology from the University of California, Santa Barbara, and an M.S. and B.S. in Electronics and Computer Engineering at Hanyang University, Seoul, Korea. He was a Ph.D. research intern in the Experiments in Art & Technology (E.A.T.) center at Nokia Bell Labs and developed a spatial-acoustic parameter estimation algorithm using machine learning. During his Ph.D., Myungin was affiliated with AlloSphere, designing large-scale interactive 3D immersive experiences, and joined the Immersive Media Design faculty at the University of Maryland, College Park. His research are featured at venues including Ars Electronica, Getty's PST ART: Art & Science Collide, IEEE, CHI, New Interfaces for Musical Expression (NIME), International Computer Music Conference (ICMC), and the ACM SIGGRAPH. Myungin holds a patent in the machine learning-based room acoustics estimation algorithm. At UMD, his current research focuses on brain-computer interaction (BCI), generative AI, environmental Ocean data science, and scientific quantum simulation in XR.