Date/Time

Date(s) - 05/05/2021
4:30 pm - 5:30 pm

Please use this zoom link for the event.

Please join us for a UW Data Science Seminar event on Wednesday, May 5th from 4:30 to 5:30 p.m. The seminar will feature Afsaneh Doryab, Assistant Professor of Systems and Information Engineering at the University of Virginia.

“Computational Modeling of Human Behavior for Health and Wellbeing”

Abstract: The number of people with health issues as a result of unhealthy and imbalanced life is rapidly increasing. These issues are more pronounced during the COVID-19 crisis that has disrupted people’s regular life. In this talk, I will provide an overview of my research in computational modeling of human behavior (incl. activities, routines, and rhythms) from diverse data streams that are collected through mobile and wearable devices to assess the state of individuals’ health and wellbeing.

Biography: My research is at the intersection of health, mobile and ubiquitous computing, AI, and HCI. I work on computational modeling of human behavior (including Activity Recognition) 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.

The UW Data Science Seminar is an annual lecture series at the University of Washington that hosts scholars working across applied areas of data science, such as the sciences, engineering, humanities and arts along with methodological areas in data science, such as computer science, applied math and statistics. Our presenters come from all domain fields and include occasional external speakers from regional partners, governmental agencies and industry.

All seminars will be hosted virtually for the 2020-2021 academic year, and are free and open to the public.