Temiloluwa O. Prioleau

|Assistant Professor

Academic Appointments

Assistant Professor of Computer Science

My research interest is in digital health, wearable technology, and data science, with a focus on human-centered computing solutions that enable personalized health. I co-direct the Augmented Health Lab and am an affliate of the Center for Technology and Behavioral Health (CTBH).

603-646-8730

Sudikoff Lab, Room 109

HB 6211

Computer Science

A. Bartolome, S. Shah, T. Prioleau, "GlucoMine: A Case for Improving the Use of Wearable Device Data in Diabetes Management," Proc. ACM on Interactive, Mobile, Wearable, and Ubiquitous Technologies (IMWUT), vol. 5, no. 3, 2021. DOI: https://doi.org/10.1145/3478109
K. Gu, S. Vosoughi, T. Prioleau, "SymptomID: A Framework for Rapid Identification of Pandemics using News Reports," ACM Transactions on Management Information Systems (TMIS), vol. 12, no. 4, 2021. DOI: https://doi.org/10.1145/3462441
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. DOI: 10.1109/EMBC44109.2020.9176414
T. Prioleau, A. Sabharwal, M. Vasudevan, "Understanding Reflection Needs for Personal Health Data in Diabetes." Int. Conf. on Pervasive Computing for Healthcare (PervasiveHealth), 2020. DOI: https://doi.org/10.1145/3421937.3421972

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," Proc. ACM on Interactive, Mobile, Wearable, and Ubiquitous Technologies (IMWUT), vol. 1, no. 3, 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), vol. 64, no. 9, 2017. DOI: 10.1109/TBME.2016.2631246.