Afsaneh Doryab
Ph.D. Computer Science, UVA School of Engineering and Applied Science Assistant Professor
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.
Nicholas D Lane, Mu Lin, Mashfiqui Mohammod, Xiaochao Yang, Hong Lu, Giuseppe Cardone, Shahid Ali, Afsaneh Doryab, Ethan Berke, Andrew T Campbell, Tanzeem Choudhury
Mobile Networks and Applications, June 2014
Identifying Behavioral Phenotypes of Loneliness and Social Isolation with Passive Sensing: Statistical Analysis, Data Mining and Machine Learning of Smartphone and Fitbit Data [PDF]
Afsaneh Doryab, Daniella K Villalba, Prerna Chikersal, Janine M Dutcher, Michael Tumminia, Xinwen Liu, Sheldon Cohen, Kasey Creswell, Jennifer Mankoff, John D Creswell, Anind K Dey
JMIR mHealth and uHealth, July 2019
If It’s Convenient: Leveraging Context in Peer-to-Peer Variable Service Transaction Recommendations [PDF]
Afsaneh Doryab, Victoria Bellotti, Alaaeddine Yousfi, Shuobi Wu, John M Carroll, Anind K Dey
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Sept 2017
Estimation of Symptom Severity During Chemotherapy from Passively Sensed Data: Exploratory Study [PDF]
Afsaneh Doryab, Victoria Bellotti, Alaaeddine Yousfi, Shuobi Wu, John M Carroll, Anind K Dey
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Sept 2017