Sensor Design for Pharmaceutical and Biomedical Applications
Project Description
The project aims to develop an integrated device for continuous monitoring in pharmaceutical or biomedical applications by combining microfluidics with Raman and Fourier Transform Infrared (FTIR) spectroscopy. The project seeks to overcome the limitations of existing monitoring techniques by providing real-time, non-destructive measurements with enhanced sensitivity. Through deep learning algorithms, the project aims to establish correlations between observed spectra and analyte properties, facilitating accurate quantification. Our multidisciplinary team combines expertise in spectroscopy, deep learning, microfluidics, and sensor integration.
Start Date
February 2025
Postdoc Qualifications
The postdoctoral researcher should have a degree in Material Engineering, Mechanical Engineering, Computer Engineering, Applied Mathematics, Biomedical Engineering, or equivalent. The research requires a strong background in microfluidics, spectroscopy, wearables, or machine learning and artificial intelligence.
Co-advisors
Arezoo Ardekani, Professor of Mechanical Engineering, ardekani@purdue.edu
https://web.ics.purdue.edu/~ardekani/
Rahim Rahimi, Assistant Professor of Material Engineering, rrahimi@purdue.edu
https://www.rahimilab.org/?_ga=2.178571367.210477310.1720535032-135177814.1628068362
Bibliography
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