Google Scholar · GitHub
I work on non-contact physiological measurement and multimodal signal–AI systems, with a focus on robust sensing and learning under real-world constraints.
My current interests include mmWave radar sensing, ECG-driven modeling, and signal-aligned multimodal learning.
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Non-contact Physiological Measurement
- mmWave-based vital sign sensing and robustness
- Camera/rPPG-related physiological inference (when applicable)
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Multimodal Signal Fusion
- ECG × mmWave (and other modalities) for physiological state modeling
- Alignment, denoising, and uncertainty-aware learning for time-series
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Signal Processing for Learning Systems
- Feature/representation engineering for physiological signals
- Deployment-oriented pipelines (efficient, reproducible, auditable)
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mmWave Heart rate & Respiratory Rate Estimation Preprocessing Toolbox
Building a EEMD based toolbox for heart rate estimation based on mmWave Radar. -
ECG × mmWave Fusion (Ongoing)
Building a cross-modal physiological sensing pipeline for reliable state estimation under motion/noise. -
Meta-surface Starter Track
Early exploration of meta-surface related sensing/interaction scenarios and measurement setups.
- (Under review / in preparation)
For an up-to-date list, please refer to my Google Scholar page.
- Google Scholar: https://scholar.google.com/citations?hl=en&user=TJ2_Fq8AAAAJ
I also write speculative fiction that explores human destiny under technological systems.
(Selected work appeared in a short-novel context around the 2023 World Science Fiction Convention period.)
