I work on computational modeling of human behavior from data streams collected through mobile, wearable, and embedded sensors. Examples of my work in the health domain include detection of behavior change in people with depression, predicting mania-depression episodes in bipolar disorder, estimation of symptom severity in cancer patients, and modeling of surgical activities inside the operating room.
I also work on intelligent applications for social good. My recent work in Context-aware Peer-to-Peer economic exchange is focused on connecting communities of people through mobile technology to enable successful and meaningful service transactions, especially in low-income communities. In my research, I draw on methods from Machine Learning, Data Mining, Statistics, and Human-Computer Interaction.
Projects
Past Projects
Publications
2024
Exploring Smartphone-based Spectrophotometry for Nutrient Identification and Quantification
arXiv
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17 Oct 2024
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arXiv:2410.11027
Creating Emotion-Evoking Music to Communicate Wellness for Users with Diverse Musical Backgrounds
Companion of the 2024 on ACM International Joint Conference on Pervasive and Ubiquitous Computing
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05 Oct 2024
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doi:10.1145/3675094.3678495
Practical Heuristics for Victim Tagging During a Mass Casualty Incident Emergency Medical Response
2024 IEEE 20th International Conference on Automation Science and Engineering (CASE)
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28 Aug 2024
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doi:10.1109/CASE59546.2024.10711469
Towards an Accessible, Noninvasive Micronutrient Status Assessment Method: A Comprehensive Review of Existing Techniques
arXiv
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26 Aug 2024
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arXiv:2408.11877
Changing Your Tune: Lessons for Using Music to Encourage Physical Activity
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
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13 May 2024
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doi:10.1145/3659611
Multi-Agent System for Optimizing Victim Tagging in Human/Autonomous Responder Teams
2024 ACM/IEEE 15th International Conference on Cyber-Physical Systems (ICCPS)
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13 May 2024
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doi:10.1109/ICCPS61052.2024.00034
Identifying Links Between Productivity and Biobehavioral Rhythms Modeled From Multimodal Sensor Streams: Exploratory Quantitative Study
JMIR AI
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18 Apr 2024
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doi:10.2196/47194
2023
Modeling Regularity and Predictability in Human Behavior from Multidimensional Sensing Signals and Personal Characteristics
2023 International Conference on Machine Learning and Applications (ICMLA)
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15 Dec 2023
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doi:10.1109/ICMLA58977.2023.00045
Personalization in Circadian Rhythm-Based Event Scheduling
2023 Systems and Information Engineering Design Symposium (SIEDS)
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27 Apr 2023
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doi:10.1109/SIEDS58326.2023.10137806
2022
Sounds of Health
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
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21 Dec 2022
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doi:10.1145/3570346
A Self Learning System for Emotion Awareness and Adaptation in Humanoid Robots
2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)
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29 Aug 2022
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10.1109/RO-MAN53752.2022.9900581
Predicting Depression in Adolescents Using Mobile and Wearable Sensors: Multimodal Machine Learning–Based Exploratory Study
JMIR Formative Research
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24 Jun 2022
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doi:10.2196/35807
A Computational Framework for Modeling Biobehavioral Rhythms from Mobile and Wearable Data Streams
ACM Transactions on Intelligent Systems and Technology
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03 Mar 2022
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doi:10.1145/3510029
2021
Daily Trajectory Prediction Using Temporal Frequent Pattern Tree
Lecture Notes in Networks and Systems
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17 Sep 2021
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doi:10.1007/978-981-16-2380-6_29
Towards a Computational Framework for Automated Discovery and Modeling of Biological Rhythms from Wearable Data Streams
Lecture Notes in Networks and Systems
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07 Aug 2021
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doi:10.1007/978-3-030-82199-9_44
An Automated Machine Learning Pipeline for Monitoring and Forecasting Mobile Health Data
2021 Systems and Information Engineering Design Symposium (SIEDS)
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30 Apr 2021
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doi:10.1109/SIEDS52267.2021.9483755
Adaptive Humanoid Robots for Pain Management in Children
Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction
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08 Mar 2021
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doi:10.1145/3434074.3447224
2020
CoRhythMo: A Computational Framework for Modeling Biobehavioral Rhythms from Mobile and Wearable Data Streams
Cold Spring Harbor Laboratory
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10 Aug 2020
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doi:10.1101/2020.08.10.244020
Modeling Biological Rhythms to Predict Mental and Physical Readiness
2020 Systems and Information Engineering Design Symposium (SIEDS)
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01 Apr 2020
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doi:10.1109/SIEDS49339.2020.9106683
2019
Identifying Behavioral Phenotypes of Loneliness and Social Isolation with Passive Sensing: Statistical Analysis, Data Mining and Machine Learning of Smartphone and Fitbit Data
JMIR mHealth and uHealth
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24 Jul 2019
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doi:10.2196/13209
Modeling Biobehavioral Rhythms with Passive Sensing in the Wild
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
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29 Mar 2019
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doi:10.1145/3314395
News
2023
Welcome Maria Cardei and Sabit Ahmed
We welcome Maria Cardei and Sabit Ahmed, two new computer science PhD student’s joining the HAI Lab.
2021
Welcome Matt Clark and Matt Landers
We welcome Matt Clark and Matt Landers, two new computer science PhD student’s joining the HAI Lab.