4 papers
Multi-Wavelength Machine Learning for High-Precision Colorimetric Sensing
Majid Aalizadeh, Chinmay Raut, Ali Tabartehfarahani +1
Conventional colorimetric sensing methods typically rely on signal intensity at a single wavelength, often selected heuristically based on peak visual modulation. This approach ove…
Accuracy Enhancement in Refractive Index Sensing via Full-Spectrum Machine Learning Modeling
Majid Aalizadeh, Chinmay Raut, Morteza Azmoudeh Afshar +2
We present a full-spectrum machine learning framework for refractive index sensing using simulated absorption spectra from meta-grating structures composed of titanium or silicon n…
Development of a Miniaturized, Automated, and Cost-Effective Device for Enzyme-Linked Immunosorbent Assay
Majid Aalizadeh, Shuo Yang, Suchithra Guntur +3
In this work, a miniaturized, automated, and cost-effective ELISA device is designed and implemented, without the utilization of conventional techniques such as pipetting or microf…
Machine Learning-Enabled Multidimensional Data Utilization Through Multi-Resonance Architecture: A Pathway to Enhanced Accuracy in Biosensing
Majid Aalizadeh, Morteza Azmoudeh Afshar, Xudong Fan
A novel framework is proposed that combines multi-resonance biosensors with machine learning (ML) to significantly enhance the accuracy of parameter prediction in biosensing. Unlik…