Area of research
Biomedical Engineering · Analytical Chemistry
Research interest
Research focused on Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and Principal component analysis, with related work in Coronavirus disease 2019 (COVID-19), Support vector machine, Saliva. Notable publications include 'Smartphone-based sensitive detection of SARS-CoV-2 from saline gargle samples via flow profile analysis on a paper microfluidic chip', 'Direct capture and smartphone quantification of airborne SARS-CoV-2 on a paper microfluidic chip', and 'Handheld UV fluorescence spectrophotometer device for the classification and analysis of petroleum oil samples'.
Capillary flow velocity profile analysis on paper-based microfluidic chips for screening oil types using machine learning
Smartphone-Based Microalgae Monitoring Platform Using Machine Learning
Smartphone-based sensitive detection of SARS-CoV-2 from saline gargle samples via flow profile analysis on a paper microfluidic chip
Sensitive, smartphone-based SARS-CoV-2 detection from clinical saline gargle samples
Direct capture and smartphone quantification of airborne SARS-CoV-2 on a paper microfluidic chip
Handheld UV fluorescence spectrophotometer device for the classification and analysis of petroleum oil samples
The future of microbiome analysis: Biosensor methods for big data collection and clinical diagnostics