AI & ML interests
Research at the intersection of biosignal processing, foundation models, and ultra-low-power embedded AI with deployment targets spanning clinical EEG to wearable/edge SoCs.
Recent Activity
Papers
PanLUNA: An Efficient and Robust Query-Unified Multimodal Model for Edge Biosignal Intelligence
LuMamba: Latent Unified Mamba for Electrode Topology-Invariant and Efficient EEG Modeling