2020-2021 Faculty Research Grants
Hyun Kwon (Engineering)
Artificial Intelligence Assisted Sensor Data Analysis and Simulation
The PI and research team have working on the NSF funded project of electrochemiluminescence (ECL) sensor for several years. Using the hardware developed for the ECL sensor research, this FRG proposal focuses on innovative data analysis.
As Artificial intelligence (AI) is widely applied in many areas and applicable algorithms are developed, AI assisted data analysis is innovative and inevitable step in the sensor data analysis. The traditional sensor data are analyzed by establishing calibration curve. This requires ample experiences in identifying a key parameter and strict environmental control in that sample concentration is the only variable. Such conditions are not always available for new type of sensor or low resources setting. I propose to further investigate and play a leading role in the sensor data analysis with AI.