Research
Research Experience & Key Projects
Research Interests
Current Research at Samsung Research America
Staff Research Engineer II | Digital Health Lab | 2019 – Present
Leading AI-driven innovation at the intersection of wearable sensing and real-world health monitoring.
Cuffless Blood Pressure Monitoring
Led ML-based BP estimation using ear-worn PPG and inertial sensors. Directed hardware prototyping, co-designed clinical protocols, and partnered with CROs for multi-device validation.
Contactless Vital Sign Monitoring
Developed AI models to estimate heart rate, respiration, and SpO2 from facial video. Recognized as top-performing solution with product roadmap adoption.
AFib Burden Estimation
Led smartwatch-based atrial fibrillation monitoring from data collection to algorithm delivery. Published cover-featured study in IEEE JBHI (2023).
Advanced Bio-sensing Earbuds
Spearheaded transcranial vagus nerve stimulation in earbud form factor for stress detection and neural intervention.
Ph.D. Research
Rutgers University | Integrated Systems and NeuroImaging Laboratory | 2013 – 2018
Advisor: Professor Laleh Najafizadeh
Developed computational methods for predicting behavior from neuroimaging data:
- Visibility Graph Analysis: Novel methods for decoding cortical brain states from widefield transcranial imaging
- Functional Near-Infrared Spectroscopy (fNIRS): Dynamic time warping-based averaging frameworks for brain imaging studies
- Fractality Analysis: Characterization of fNIRS signal dynamics using visibility graph methods
- Multimodal Neuroimaging: Optimal electrode/optode configuration for EEG-fNIRS experiments
Impact & Recognition
- 45+ publications at top-tier venues (IEEE, ACM, OSA)
- 15+ patents filed in wearable health sensing
- IEEE JBHI Cover Feature (2023) for AFib research
- Multiple Samsung company-wide awards for innovation in health sensing and biosignal foundation models