Batuhan Uzunoglu

Research: 

- Developed a color-based machine learning model and mobile application to predict the amount of substances from pictures of solution

- Developed an image processing application using Flask and OpenCV to detect ArUco markers and accurately warp images for perspective adjustment.

- Designed a color match card to compute and correct color values, mapping these to specific chemical concentrations based on environmental corrections. Integrated the system with the developed mobile application to facilitate real-time analysis and results display.

Publications:

[2]  Machine Learning-Enabled Nanozyme Microsensors for Neurotransmitter Discrimination

E. DeVoe, B. Uzunoglu, D. Andreescu, and S. Andreescu

Adv. Funct. Mat., 2026, 

https://doi.org/10.1002/adfm.76313

[1]  Machine learning-enhanced 3D-printed nanozyme biosensors for point-of-use lactate detection

O. Popoola, B. Uzunoglu, I. Dong, A. Khan, D. Andreescu, and S. Andreescu

Adv. Funct. Mat., 36(60), 2026, e76776 

https://doi.org/10.1002/adfm.76776