Pennsylvania State University
Doctor of Philosophy in Informatics
Aug. 2020 - Present
- Advisor: Saeed Abdullah
News      Education      Publications      Research Experience      Projects      Contact       CV
I am a Ph.D Candidate in the College of Informatics Science and Technology at Penn State University.
I am working with Dr. Saeed Abdullah at the Well-being and Health Innovation Lab.
My research focuses on designing, developing, and deploying conversational agents that promote health and well-being, particularly by delivering therapeutic content and supporting self-management for mental health.
I also lead a project developing a deep learning-based model to assess the context of symptoms (e.g., PTSD, dementia).
Additionally, I am developing user-centric, privacy-preserving financial technologies that leverage open banking data to identify problematic financial behaviors, and to provide personalized interventions to reduce risk of harm for individuals with mental illnesses.
Another key project I lead explores how care partners support financial management for individuals with bipolar disorder, aiming to understand their challenges and how technology can help address these issues.
Before I joined Penn State, I graduated with a B.S. in Computer Science and Engineering from Ewha Womans University and an M.S. in Computer Science from the University of California, Irvine.
For my Master's thesis, I proposed a new system to predict stress levels in everyday settings sensing on wearable devices.
Oct 2024 I have been selected to attend the Grace Hopper Celebration of Women in Computing (GHC).
Oct 2024 Our paper on assessing the feasibility and acceptance of a conversational agents for self-management of PTSD has been accepted in SAGE Digital Health
May 2023 Our paper on evaluating a conversational agents for self-management of PTSD with clinical experts has been accepted in JMIR Foramtive Health
Dec 2022 I passed comprehensive exam!
Dec 2022 I presented our work on diagnosing dementia using text and speech data at the ICDS Symposium.
Nov 2022 Our paper on developing a model to classify dementia using text and speech data has been accepted in Multimodal AI in Healthcare.
Mar 2022 We won the W3PHIAI-22 Data Hackallenge (Hackathon/Challenge) by developing a model to classify dementia using text and speech data. I presented this work at the the 2022 AAAI Workshop on Health Intelligence.
Sep 2021 I served as a student volunteer at Ubicomp/ISWC 2021.
Aug 2021 Our paper on designing a conversational agents to support individuals with PTSD has been accepted in the UbiComp/ISWC Adjunct Proceedings.
Aug 2021 I attened the 2021 CRA-WP Grad Cohort for Women.
Aug 2020 I started my Ph.D journey at College of Informatics Science and Technology at Penn State University advised by Dr. Saeed Abdullah.
Pennsylvania State University
Doctor of Philosophy in Informatics
Aug. 2020 - Present
University of California, Irvine
Master of Science in Computer Science
Sep. 2017 - Jun. 2019
Ewha Womans University
Bachelor of Science in Computer Science and Engineering
Mar. 2012 - Feb. 2017
Assessing Acceptance and Feasibility of a Conversational Agent to Support Individuals Living with Post-traumatic Stress Disorder
Hee Jeong Han, Sanjana Mendu, Beth K Jaworski, Jason E Owen, and Saeed Abdullah
in Digital Health, 10
PDF
Preliminary Evaluation of a Conversational Agent to Support Self-management of Individuals Living with PTSD: An Interview Study with Clinical Experts
Hee Jeong Han, Sanjana Mendu, Beth K Jaworski, Jason E Owen, and Saeed Abdullah
in JMIR Formative Research, 7, e45894 2023
PDF
Automatic Classification of Dementia using Text and Speech data
Hee Jeong Han, Suhas BN, Ling Qiu, and Saeed Abdullah
in Multimodal AI in Healthcare, pp. 399-407. Springer, Cham 2023
PDF
PTSDialogue: Designing a Conversational Agent to Support Individuals with Post- Traumatic Stress Disorder
Hee Jeong Han, Sanjana Mendu, Beth K Jaworski, Jason E Owen, and Saeed Abdullah
in Adjunct Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers (UbiComp '21) 2021
PDF
Objective stress monitoring based on wearable sensors in everyday settings
Hee Jeong Han, Sina Labbaf, Jessica L. Borelli, Nikil Dutt, and Amir M. Rahmani
in Journal of Medical Engineering \& Technology 44, no. 4: 177-189, 2020
PDF
Pedestrian Management System for Real-time Pedestrian Detection
Hee Jeong Han, Miso Kwon, You Hyun Kang, Dong Sub Cho
in Proceedings of Korea Multimedia Society Conference of the Spring, 2016
Pedestrian Pattern Classification For the Pedestrian Counting Systems using Key Matrix
Hee Jeong Han, You Hyun Kang, Miso Kwon, Dong Sub Cho
in Proceedings of Korea Computer Congress, 2016
Pedestrian Safety Management Systems based on Multiple-input enabled F-pad
Hee Jeong Han, You Hyun Kang, Miso Kwon, Dong Sub Cho
in Proceedings of The Korean Institute of Electrical Engineers(KIEE) Summer Conference, 2016
PDF
Analysis of Pedestrian Pattern for Pedestrian Counting Systems
You Hyun Kang, Miso Kwon, Hee Jeong Han, Dong Sub Cho
in Proceedings of The 2016 Spring Conference of the Korea Information Processing Society (KIPS), 2016
PDF
Adaptive for time-varing clustering DBSCAN
Miso Kwon, You Hyun Kang, Hee Jeong Han, Dong Sub Cho
in Proceedings of 2016 Information and Control Symposium, 2016
Wellbeing & Health Innovation (WHI) Lab
College of Informatics Science and Technology, Pennsylvania State University
Aug. 2020 - Present
Graduate Research Assistant
Dutt Research Group
Department of Computer Science, University of California, Irvine
Jun. 2018 - Jul. 2019
Graduate Research Assistant
Computer Architecture and System Design Laboratory
Department of Computer Science and Engineering, Ewha Womans University
Aug. 2015 - Jun. 2016
Undergraduate Research Assistant
Fintech to support persons with bipolar disorder
May. 2024 - Present
Develops user-centric, privacy-preserving financial technologies that leverage open banking data to identify problematic financial behaviors, and to provide personalized interventions to reduce risk of harm for individuals with mental illnesses.
PTSDialogue - A conversational agent to sustain patient engagement in PTSD
Aug. 2020 - 2024
Developed a conversational agent that can deliver therapeutic content and provide supportive accountability in PTSD and assessed feasibility and acceptability of the developed conversational agent for sustaining engagement with patients with PTSD.
Detecting Mental Health Symptoms From Text Data Enhanced by ChatGPT
Jan. 2023 - Present
Built a deep learning-based model to assess mental health symptoms from text data. The model achieved 90.4% accuracy. Also, the model will be enhanced by labels generated by ChatGPT after evaluating the accuracy of the annotations.
Automatic Classification of Dementia using Text and Speech data
Feb. 2022 - Mar. 2022
Built an ensemble model with two deep learning-based architectures for text and speech analysis. The model achieved 89.8% accuracy when classifying individuals with dementia and health controls.
WiSDoM: Guiding Internet Users Toward Safer PrivacyDecisions
Jan. 2021 - Jun. 2021
Built a Chrome extension tool that informs users about their disclosing behaviors. It is powered by a BERT-based objective disclose detection model.
PDFHealthcare IoT - Ubiquitous Stress Monitoring using Shimmer's Device
Jun. 2018 - Jul. 2019
Proposed a new stress monitoring system. Its algorithm, using PPG, ECG and GSR sensors on wearable device, predicts stress level in everyday settings.
Project title
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