NPC Fellow Sudan Duwadi Wins CAN DO Award to Decode Attended Location Using fNIRS
Congratulations to 2023 CAN DO awardee Sudan Duwadi!
Thanks to funding from the CAN DO award, Neurophotonics Center fellow and graduate student Sudan Duwadi will be working in collaboration with Professor Kamal Sen, as well as the fNIRS core of the NPC, on “Decoding Attended Location using fNIRS.” The project aims to use fNIRS measurements with a wearable system and machine learning methods to determine where a subject is attending in a complex scene.
The project, funded by Professor Kamal Sen’s $2.96m dollar award from the National Science Foundation, aims to further the field of Complex Scene Analysis, or how the brain takes in stimuli in a stimulus-heavy environment. Using a wearable device that measures brain activity, the researchers hope to understand where a person is focusing their attention in such a complex setting. By analyzing the collected data with advanced machine learning methods, create an algorithm to further scientists’ understanding of CSA and pave the way for new advancements in medical technology.
With the preliminary data from this research, the team plans to apply for further funding from the National Institute of Health’s R01 Brain Initiative grant. Furthermore, this project will advance collaborative and cross-disciplinary work across the Neurophotonics center.
To read more about the project, check out Kamal Sen’s NSF award announcement here.
To learn more about Fellows like Sudan, check out our NPC Fellows page here.