Graphene has shown great promise as a biosensor for multiple chemical sensing applications. This project intends to build a robust electronic graphene-based sensing platform with at least 1000 sensing units with high-speed control electronics for accurate and efficient measurements. The platform enables real-time response for potassium, sodium, and calcium ions. With the help of machine learning inference, these measurements can be classified with the goal of monitoring human health and predicting certain types of diseases.

The SuperUrop is an incredible opportunity to help me go through the different steps of research from choosing a topic, and presenting, to writing a paper. This experience will help me develop valuable skills to become a better researcher and engineer.