Temiloluwa O. Prioleau
Assistant ProfessorAssistant Professor of Computer Science
Assistant Professor of Computer Science
My research interest is in the application of data science to human sensing and health. This includes developing and using mobile, wearable, and digital solutions to understand, monitor, and affect bio-behavioral factors that influence health. I co-direct the Augmented Health Lab and am an affliate of the Center for Technology and Behavioral Health (CTBH).
Department(s):
Computer Science
Education:
B.S. University of Texas, Austin
M.S. Georgia Institute of Technology
Ph.D. Georgia Institute of Technology
Selected Publications
S. Morton, R. Li, S. Dibbo, T. Prioleau, "Data-driven Insights on Behavioral Factors that Affect Diabetes Management," IEEE Engineering in Medicine and Biology Conference (EMBC), 2020.
S. Vhaduri and T. Prioleau, "Adherence to Personal Health Devices: A Case Study in Diabetes." Int. Conf. on Pervasive Computing for Healthcare (PervasiveHealth), 2020.
T. Prioleau, A. Sabharwal, M. Vasudevan, "Understanding Reflection Needs for Personal Health Data in Diabetes." Int. Conf. on Pervasive Computing for Healthcare (PervasiveHealth), 2020.
Bedri, R. Li, M. Haynes, R. Kosaraju, I. Grover, T. Prioleau, M. Beh, M. Goel, T. Starner, G. Abowd, "EarBit: Using Wearable Sensors to Detect Eating Episodes in Unconstrained Environments," Journal Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 2017. DOI: 10.1145/3130902
T. Prioleau, E. Moore, M. Ghovanloo, "Unobtrusive and Wearable Systems for Automatic Dietary Monitoring," IEEE Trans. of Biomedical Engineering (TBME), 2017. DOI: 10.1109/TBME.2016.2631246.
T. Olubanjo, E. Moore, M. Ghovanloo, "Detecting Food Intake Acoustic Events in Noisy Recordings Using Template Matching," IEEE Int. Conf. on Biomed. & Health Informatics (BHI), 2016. DOI: 10.1109/BHI.2016.7455916.