Afsaneh Doryab University of Virginia Principal Investigator

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

Towards an Accessible, Noninvasive Micronutrient Status Assessment Method: A Comprehensive Review of Existing Techniques

Andrew Balch, Maria A. Cardei, Sibylle Kranz, Afsaneh Doryab

arXiv · 26 Aug 2024 · arXiv:2408.11877

nutrition

Framework for Ranking Machine Learning Predictions of Limited, Multimodal, and Longitudinal Behavioral Passive Sensing Data: Combining User-Agnostic and Personalized Modeling

Tahsin Mullick, Sam Shaaban, Ana Radovic, Afsaneh Doryab

JMIR AI · 20 May 2024 · doi:10.2196/47805

mood-ring

Changing Your Tune: Lessons for Using Music to Encourage Physical Activity

Matthew Clark, Afsaneh Doryab

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies · 13 May 2024 · doi:10.1145/3659611

melodies

Identifying Links Between Productivity and Biobehavioral Rhythms Modeled From Multimodal Sensor Streams: Exploratory Quantitative Study

Runze Yan, Xinwen Liu, Janine M Dutcher, Michael J Tumminia, Daniella Villalba, …, John D Creswell, Kasey Creswell, Jennifer Mankoff, Anind K Dey, Afsaneh Doryab

JMIR AI · 18 Apr 2024 · doi:10.2196/47194

rhythms

2023

Modeling Regularity and Predictability in Human Behavior from Multidimensional Sensing Signals and Personal Characteristics

Jingyi Gao, Runze Yan, Afsaneh Doryab

2023 International Conference on Machine Learning and Applications (ICMLA) · 15 Dec 2023 · doi:10.1109/ICMLA58977.2023.00045

rhythms

Personalization in Circadian Rhythm-Based Event Scheduling

Prachi Sadekar, Jackson Baitinger, Sean Conway, Matthew Clark, Afsaneh Doryab

2023 Systems and Information Engineering Design Symposium (SIEDS) · 27 Apr 2023 · doi:10.1109/SIEDS58326.2023.10137806

rhythms

2022

Sounds of Health

Matthew Clark, Afsaneh Doryab

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies · 21 Dec 2022 · doi:10.1145/3570346

melodies

A Self Learning System for Emotion Awareness and Adaptation in Humanoid Robots

Sudhir Shenoy, Yusheng Jiang, Tyler Lynch, Lauren Isabelle Manuel, Afsaneh Doryab

2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) · 29 Aug 2022 · 10.1109/RO-MAN53752.2022.9900581

adaptive-humanoid-robots

Predicting Depression in Adolescents Using Mobile and Wearable Sensors: Multimodal Machine Learning–Based Exploratory Study

Tahsin Mullick, Ana Radovic, Sam Shaaban, Afsaneh Doryab

JMIR Formative Research · 24 Jun 2022 · doi:10.2196/35807

mood-ring

A Computational Framework for Modeling Biobehavioral Rhythms from Mobile and Wearable Data Streams

Runze Yan, Xinwen Liu, Janine Dutcher, Michael Tumminia, Daniella Villalba, …, David Creswell, Kasey Creswell, Jennifer Mankoff, Anind Dey, Afsaneh Doryab

ACM Transactions on Intelligent Systems and Technology · 03 Mar 2022 · doi:10.1145/3510029

rhythms

2021

Daily Trajectory Prediction Using Temporal Frequent Pattern Tree

Mingyi Cai, Runze Yan, Afsaneh Doryab

Lecture Notes in Networks and Systems · 17 Sep 2021 · doi:10.1007/978-981-16-2380-6_29

rhythms

Towards a Computational Framework for Automated Discovery and Modeling of Biological Rhythms from Wearable Data Streams

Runze Yan, Afsaneh Doryab

Lecture Notes in Networks and Systems · 07 Aug 2021 · doi:10.1007/978-3-030-82199-9_44

rhythms

An Automated Machine Learning Pipeline for Monitoring and Forecasting Mobile Health Data

Anna Bonaquist, Meredith Grehan, Owen Haines, Joseph Keogh, Tahsin Mullick, Neil Singh, Sam Shaaban, Ana Radovic, Afsaneh Doryab

2021 Systems and Information Engineering Design Symposium (SIEDS) · 30 Apr 2021 · doi:10.1109/SIEDS52267.2021.9483755

mood-ring

Adaptive Humanoid Robots for Pain Management in Children

Sudhir Shenoy, Yueyue Hou, Xinran Wang, Fateme Nikseresht, Afsaneh Doryab

Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction · 08 Mar 2021 · doi:10.1145/3434074.3447224

adaptive-humanoid-robots

2020

CoRhythMo: A Computational Framework for Modeling Biobehavioral Rhythms from Mobile and Wearable Data Streams

Runze Yan, Xinwen Liu, Janine M Dutcher, Michael J Tumminia, Daniella Villalba, …, David Creswell, Kasey Creswell, Jennifer Mankoff, Anind K Dey, Afsaneh Doryab

Cold Spring Harbor Laboratory · 10 Aug 2020 · doi:10.1101/2020.08.10.244020

rhythms

Modeling Biological Rhythms to Predict Mental and Physical Readiness

Ben Carper, Dillon McGowan, Samantha Miller, Joe Nelson, Leah Palombi, Lina Romeo, Kayla Spigelman, Afsaneh Doryab

2020 Systems and Information Engineering Design Symposium (SIEDS) · 01 Apr 2020 · doi:10.1109/SIEDS49339.2020.9106683

rhythms

2019

Identifying Behavioral Phenotypes of Loneliness and Social Isolation with Passive Sensing: Statistical Analysis, Data Mining and Machine Learning of Smartphone and Fitbit Data

Afsaneh Doryab, Daniella K Villalba, Prerna Chikersal, Janine M Dutcher, Michael Tumminia, …, Sheldon Cohen, Kasey Creswell, Jennifer Mankoff, John D Creswell, Anind K Dey

JMIR mHealth and uHealth · 24 Jul 2019 · doi:10.2196/13209

rhythms