2022
Circadian Rhythms Are Not Captured Equal: Exploring Circadian metrics extracted by different computational methods from smartphone accelerometer and GPS sensors in daily life tracking Journal Article
In: Digital Health, vol. 8, pp. 20552076221114201, 2022.
Gaussian Latent Dirichlet Allocation for Discrete Human State Discovery Journal Article
In: arXiv preprint arXiv:2206.14233, 2022.
Data fusion of mobile and environmental sensing devices to understand the effect of the indoor environment on measured and self-reported sleep quality Journal Article
In: Building and Environment, vol. 214, pp. 108835, 2022.
2021
Exploring Post COVID-19 Outbreak Intradaily Mobility Pattern Change in College Students: a GPS-focused Smartphone Sensing Study Journal Article
In: Frontiers in Digital Health, pp. 169, 2021.
Comparison of machine learning methods to predict sleep quality from daytime activity and nightly bedroom environmental conditions Inproceedings
In: Proceedings of the 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, pp. 222–223, 2021.
Multi-modal data collection for measuring health, behavior, and living environment of large-scale participant cohorts Journal Article
In: GigaScience, vol. 10, no. 6, pp. giab044, 2021.
Connections between Relational Event Model and Inverse Reinforcement Learning for Characterizing Group Interaction Sequences Journal Article
In: IEEE Transactions on Computational Social Systems, 2021.
Improving prediction of real-time loneliness and companionship type using geosocial features of personal smartphone data Journal Article
In: Smart Health, vol. 20, pp. 100180, 2021.
2020
A framework for understanding the relationship between social media discourse and mental health Journal Article
In: Proceedings of the ACM on Human-Computer Interaction, vol. 4, no. CSCW2, pp. 1–23, 2020.
2019
ActiPPG: using deep neural networks for activity recognition from wrist-worn photoplethysmography (PPG) sensors Journal Article
In: Smart Health, vol. 14, pp. 100082, 2019.
Adaptive passive mobile sensing using reinforcement learning Inproceedings
In: 2019 IEEE 20th International Symposium on" A World of Wireless, Mobile and Multimedia Networks"(WoWMoM), pp. 1–6, IEEE 2019.
SocialText: A framework for understanding the relationship between digital communication patterns and mental health Inproceedings
In: 2019 IEEE 13th international conference on semantic computing (ICSC), pp. 428–433, IEEE 2019.
2018
Improving momentary stress measurement and prediction with bluetooth encounter networks Journal Article
In: Smart Health, vol. 9, pp. 219–231, 2018.
Vector space representation of bluetooth encounters for mental health inference Inproceedings
In: Proceedings of the 2018 ACM International Joint Conference and 2018 International Symposium on Pervasive and Ubiquitous Computing and Wearable Computers, pp. 1691–1699, 2018.
State affect recognition using smartphone sensing data Inproceedings
In: Proceedings of the 2018 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies, pp. 120–125, 2018.
2017
Forecasting civil unrest using social media and protest participation theory Journal Article
In: IEEE Transactions on Computational Social Systems, vol. 5, no. 1, pp. 82–94, 2017.
Adaptive mobile behavior change intervention using reinforcement learning Inproceedings
In: 2017 International Conference on Companion Technology (ICCT), pp. 1–2, IEEE 2017.