Area of research
Biomedical Engineering · Molecular Biology
Research interest
Research interests include Biosensors and Analytical Detection, Advanced Biosensing Techniques and Applications, SARS-CoV-2 detection and testing, and Photonic and Optical Devices.
A Paper-Based Multiplexed Serological Test to Monitor Immunity against SARS-COV-2 Using Machine Learning
Deep Learning‐Enabled Multiplexed Point‐of‐Care Sensor using a Paper‐Based Fluorescence Vertical Flow Assay
Machine learning and computation-enabled intelligent sensor design
Recent Progress in Lyme Disease and Remaining Challenges
Neural Network-Based On-Chip Spectroscopy Using a Scalable Plasmonic Encoder
Deep learning-enabled point-of-care sensing using multiplexed paper-based sensors
Resolution enhancement in scanning electron microscopy using deep learning
Point-of-Care Serodiagnostic Test for Early-Stage Lyme Disease Using a Multiplexed Paper-Based Immunoassay and Machine Learning
Paper-based multiplexed vertical flow assay for point-of-care testing
Air quality monitoring using mobile microscopy and machine learning
Computational Sensing Using Low-Cost and Mobile Plasmonic Readers Designed by Machine Learning
Optical metrics of the extracellular matrix predict compositional and mechanical changes after myocardial infarction