Ahmed Salih

Ahmed Salih is a graduate student in mechanical engineering bridging theory and experiment to develop wearable contact lens biosensors enabling continuous metabolite monitoring for critical care. Current blood assays remain episodic and delayed, often returning hours after sampling. Ahmed engineered surface-enhanced Raman spectroscopy-active contact lenses detecting lactic acid and uric acid—biomarkers of metabolic stress—across clinically relevant concentrations. He processes raw spectra through comprehensive MATLAB pipelines using the Signal Processing Toolbox for baseline correction and the Image Processing Toolbox for spatial enhancement mapping to identify pixels carrying real signal. As a MathWorks Fellow, Ahmed will advance multivariate deconvolution through the Statistics and Machine Learning Toolbox for principal component analysis and partial least squares regression. The resulting biosensing platform could establish a new paradigm for continuous metabolite monitoring where laboratory infrastructure is unavailable, yet clinical decisions remain time critical.