Research Areas: AI for Healthcare, Digital and Computational Health, Wearable Technology, Human Behavior Sensing, Human Computer Interaction, Human-AI Interaction.
I direct the Augmented Health Lab. Details on my current projects and research team can be found at https://ah-lab.t-prioleau.com/.
For a full list, please see Google Scholar
Y. Cui, C. Stanger, T. Prioleau, "Seasonal, weekly, and individual variations in long-term use of wearable medical devices for diabetes management," vol. 15, no. 13386, Scientific Reports, 2025.
Y. Cui, B. Wagle, S. Raj, E. Plaitano, C. Stanger, T. Prioleau, "Empowering Self-Management of Diabetes through Long-Term Wearable Data and Seasonal Visualizations," CHI 2025, Late Breaking Work.
H. Leung, C. Gong., L. Geiser, E. Fivekiller, N. Bui, T. Vu, T. Prioleau, G. Forlenza, Q. Liu, X. Zhou, "Clinical Evaluation of a Polarized-Based Optical Noninvasive Glucose Sensing System," vol. 15, no. 8877, Scientific Reports, 2025.
S. Hossman et al., "One Size Does Not Fit All: The Need for Sex-Specific Precision Medicine in Diabetes Technology," Journal of Diabetes Science and Technology, 2025.
B. Lu, Y. Cui, P. Belsare, C. Stanger, T. Prioleau, "Mealtime Prediction using Wearable Insulin Pump Data to Support Diabetes Management," vol. 14, no. 21013, Scientific Reports, 2024.
P. Belsare, A. Bartolome, C. Stanger, T. Prioleau, "Understanding Temporal Changes annd Seasonal Variations in Glycemic Trends using Wearabale Data," vol. 9, issue 38, Science Advances, 2023.
T. Prioleau, A. Bartolome, R. Comi, C. Stanger, "DiaTrend: A Dataset from Advanced Diabetes Technology to Enable Development of Novel Analytic Solutions," Scientific Data, vol. 10, no. 556, 2023.
A. Bartolome and T. Prioleau, "A Computational Framework for Discovering Digital Biomarkers of Glycemic Control," vol. 5, issue 111, npj Digital Medicine, 2022 (impact factor: 15.3).
P. Belsare, B. Lu, A. Bartolome, T. Prioleau, "Investigating Temporal Patterns of Glycemic Control around Holidays," Int. Conf. on Engineering in Medicine & Biology Society (EMBC), 2022.
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), 2021. see pdf.
K. Gu, S. Vosoughi, T. Prioleau, "SymptomID: A Framework for Rapid Symptom Identification in Pandemics using News Reports," ACM Trans. on Management Information Systems (TMIS), vol. 12, issue 4, 2021. see pdf.
T. Prioleau, "Learning from the Experiences of COVID-19 Survivors: Web-based Study Survey," JMIR Formative Research, vol. 5, no. 5, May 2021. see pdf.
T. Li, D. Bai, T. Prioleau, N. Bui, T. Vu, X. Zhou, "Noninvasive Glucose Monitoring using Polarized Light," Proc. of the 18th Conf. on Embedded Networked Sensor Systems, 2020. see pdf.
T. Prioleau, A. Sabharwal, M. Vasudevan, "Understanding Reflection Needs for Personal Health Data in Diabetes," Int. Conf. on Pervasive Computing Technology for Healthcare (PervasiveHealth), 2020. see pdf & video.
S. Vhaduri, T. Prioleau, "Adherence to Personal Health Devices: A Case Study in Diabetes Management," Int. Conf. on Pervasive Computing Technology for Healthcare (PervasiveHealth), 2020. see pdf & video.
K. Gu, R. Dang, T. Prioleau, "Neural Physiological Model: A Simple Module for Blood Glucose Prediction," Int. Conf. of the IEEE Engineering in Medicine & Biology Society (EMBC), 2020.
S. Morton, R. Li, S. Dibbo, T. Prioleau, "Data-Driven Insights on Behavioral Factors that Affect Diabetes Management," Int. Conf. of the IEEE Engineering in Medicine & Biology Society (EMBC), 2020.
V. Nathan, S. Paul, T. Prioleau, L. Niu, B.J. Mortazavi, S.A. Cambone, A. Veeraraghavan, A. Sabharwal, R. Jafari, "A survey on smart homes for aging in place: Toward solutions to the specific needs of the elderly," IEEE Signal Processing Magazine, 2018. see pdf.
A. Bedri, R. Li, M. Haynes, R.P. Kosaraju, I. Grover, T. Prioleau, M.Y 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. see pdf.
T. Prioleau, E. Moore, M. Ghovanloo, "Unobtrusive and Wearable Systems for Automatic Dietary Monitoring," IEEE Trans. of Biomedical Engineering (TBME), 2017. (see pdf).
T. Olubanjo, Towards Automatic Food Intake Monitoring using Wearable Sensor-Based Systems, Ph.D Electrical & Computer Engineering, Georgia Institute of Technology, August 2016.