Human-AI Technology Lab at UVA

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

2025

2024

2023

2022

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

2021

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

2020

2019

News

2023

2021