Moon Hwan Lee
Ph.D. Candidate, DGIST, South Korea
Ph.D. candidate (2019–hopefully 2025) in Prof. Jae Youn Hwang's lab, DGIST, South Korea.
Researching ultrasound imaging and therapeutic systems enhanced by machine learning.
Currently focused on learning-based acoustic hologram design and its implementation using 3D-printed lenses or 2D matrix arrays for multi-focal transcranial ultrasound neuromodulation.
Additionally working on deep learning-based medical image analysis and enhancement.
Passionate about innovations in precision and functional ultrasound imaging and therapy.
I will join Prof.Peer Fischer's group in Max Planck Institute for Medical Research in next year as a postdoctoral researcher. I'll continue my research towards precision ultrasound for biomedical applications.
Recent Publications
M.H.Lee et al. "Machine Learning-Enhanced Skull-Universal Acoustic Hologram for Efficient Transcranial Ultrasound Neuromodulation Across Varied Rodent Skulls", IEEE T-UFFC (2024)
K.Lee, M.H.Lee et al. "Intelligent Bladder Volume Monitoring for Wearable Ultrasound Devices: Enhancing Accuracy through Deep Learning-based Coarse-to-Fine Shape Estimation", IEEE T-UFFC (2024)
M.H.Lee et al. "Deep learning-based framework for fast and accurate acoustic hologram generation“, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control", IEEE T-UFFC (2022) (Featured on the front cover)