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

Post Doc 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/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

M.K. Maruhamuthu et al. Trends in Biotechnology, 38 (10), 1169-1186, 2020.
M.K. Maruthamuthu et al. Microbiology Open, 9 (11), e1122, 2020.
M. Boodaghidizaji et al. Microbiology Open, 11 (6), e1336, 2022.