UVA

Sonia Baee

PhD Student
Department of System and Information Engineering
sb5ce[at]virginia.edu

         


I am a fourth-year PhD student in the Department of System and Information Engineering at the University of Virginia where I am part of the Sensing Systems for Health lab and advised by Dr. Laura Barnes.
My primary research interests lie at the intersection of behavioral intervention, mobile sensing, human-AI interaction, machine learning, and reinforcement learning.




publications




preprints

  1. MEDIRL: Predicting the Visual Attention of Drivers via Maximum Entropy Deep Inverse Reinforcement Learning.
    Sonia Baee, Erfan Pakdamanian, Inki Kim, Lu Feng, Vicente Ordonez, Laura Barnes


publications

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    DeepTake: Prediction of Driver Takeover Behavior using Multimodal Data.
    Erfan Pakdamanian, Shili Sheng, Sonia Baee, Seongkook Heo, Sarit Kraus, Lu Feng

    Proceedings of the 2021 ACM CHI conference on human factors in computing systems (CHI 2021).

2021

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    A Generalized Framework for Understanding the Relationship between Social Media Discourse and Mental Health.
    Sanjana Mendu, Anna Baglione, Sonia Baee, Congyu Wu, Brandon Ng, Adi Shaked, Gerald Clore, Mehdi Boukhechba, Laura Barnes

    In Proceedings of the ACM on Human Computer Interaction (CSCW2 2020).

  2. project thumbnail
    A Framework for Addressing the Risks and Opportunities In AI-Supported Virtual Health Coaches.
    Sonia Baee, Mark Rucker, Anna Baglione,Ameko Mawulolo K., Laura Barnes

    14th EAI International Conference on Pervasive Computing Technologies for Healthcare (EAI PervasiveHealth 2020).

  3. project thumbnail
    Redesigning the Quantified Self Ecosystem with Mental Health in Mind.
    Sanjana Mendu, Sonia Baee, Anna Baglione, Laura Barnes

    In CHI Technology Ecosystems: Rethinking Resources for Mental Health Workshop 2020.

    pdf

2020

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    Do I really feel better? Effectiveness of emotion regulation strategies depends on the measure and social anxiety.
    Katharine E Daniel, Sonia Baee, Mehdi Boukhechba, Laura Barnes, Bethany A Teachman

    In CHI Technology Ecosystems: Rethinking Resources for Mental Health Workshop 2020.

  2. project thumbnail
    SocialText: A Framework for Understanding the Relationship Between Digital Communication Patterns and Mental Health.
    Sanjana Mendu, Mehdi Boukhechba, Anna Baglione, Sonia Baee, Congyu Wu, Laura Barnes

    In Proceedings of the 13th IEEE International Conference on Semantic Computing (ICSC 2019).

2019

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    A Social Cognitive Theory-based Framework for Monitoring Medication Adherence Applied to Endocrine Therapy in Breast Cancer Survivors.
    Sonia Baee, Mehdi Boukhechba, Alicia L. Nobles, Jiaqi Gong, Kristen Wells, Laura Barnes

    IEEE EMBS International Conference on Biomedical & Health Informatics (BHI 2018).

2018

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    Passenger Boarding/Alighting Management in Urban Rail Transportation.
    Sonia Baee, Farshad Eshghi, Seyed Mehdi Hashemi, Rayehe Moienfar

    ASME/IEEE Joint Rail Conference. (JRC 2012).

2012

projects



active projects

MindTrails

The program is designed to help you change how you think based on a free multi-session, online cognitive bias modification of interpretations (CBM-I).

Attrition

Predicting an early stage of dropout in digital mental health.

Social Support for HIV patients

Understanding different types of social supports in a network of communication from PositiveLinks (PL).

MEDIRL-EyeCar

Predicting visual attention allocation of drivers in an accident-prone situations.

DeepTake

Predicting multiple aspects of takeover behavior to ensure that the driver is able to safely take over the control when engaged in non-driving tasks.

SocialText

A framework for finding biomarkers of mental health in digital communications.



past projects

Managing Anxiety

Evaluating behaviors of individuals with anxiety after using a free multi-session, online cognitive bias modification of interpretations (CBM-I).

Medication Adherence

Evaluationg adherence to long-term therapies for chronic diseases.

Peacock

A chatbot who can augment top influence of Twitter based on Reinforcement Learning methods.

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